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output_qaoa_coblya_5.txt
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output_qaoa_coblya_5.txt
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Filename: vrp-2-1-1.txt
Algorithm: qaoa_coblya_5.py
Run: 1
Output: Route for Vehicle 1: [0, 1, 2, 0]
Optimal cost: 637
Time taken: 9.261003017425537 seconds
Error:
--------------------------------------------------
Filename: vrp-2-1-1.txt
Algorithm: qaoa_coblya_5.py
Run: 2
Output: Route for Vehicle 1: [0, 1, 2, 0]
Optimal cost: 637
Time taken: 9.036750316619873 seconds
Error:
--------------------------------------------------
Filename: vrp-2-1-1.txt
Algorithm: qaoa_coblya_5.py
Run: 3
Output: Route for Vehicle 1: [0, 1, 2, 0]
Optimal cost: 637
Time taken: 9.096954107284546 seconds
Error:
--------------------------------------------------
Filename: vrp-2-1-1.txt
Algorithm: qaoa_coblya_5.py
Run: 1
Output: Route for Vehicle 1: [0, 1, 2, 0]
Optimal cost: 637
Time taken: 9.953349828720093 seconds
Error:
--------------------------------------------------
Filename: vrp-2-1-1.txt
Algorithm: qaoa_coblya_5.py
Run: 2
Output: Route for Vehicle 1: [0, 1, 2, 0]
Optimal cost: 637
Time taken: 9.665802478790283 seconds
Error:
--------------------------------------------------
Filename: vrp-2-1-1.txt
Algorithm: qaoa_coblya_5.py
Run: 3
Output: Route for Vehicle 1: [0, 1, 2, 0]
Optimal cost: 637
Time taken: 9.726978540420532 seconds
Error:
--------------------------------------------------
Filename: vrp-3-1-1.txt
Algorithm: qaoa_coblya_5.py
Run: 1
Output: Route for Vehicle 1: [0, 3, 1, 2, 0]
Optimal cost: 1096
Time taken: 51.91735601425171 seconds
Error:
--------------------------------------------------
Filename: vrp-3-1-1.txt
Algorithm: qaoa_coblya_5.py
Run: 2
Output: Route for Vehicle 1: [0, 3, 1, 2, 0]
Optimal cost: 1096
Time taken: 52.345688581466675 seconds
Error:
--------------------------------------------------
Filename: vrp-3-1-1.txt
Algorithm: qaoa_coblya_5.py
Run: 3
Output: Route for Vehicle 1: [0, 3, 1, 2, 0]
Optimal cost: 1096
Time taken: 52.15824055671692 seconds
Error:
--------------------------------------------------
Filename: vrp-3-1-1.txt
Algorithm: qaoa_coblya_5.py
Run: 1
Output: Route for Vehicle 1: [0, 3, 1, 2, 0]
Optimal cost: 1096
Time taken: 55.95946216583252 seconds
Error:
--------------------------------------------------
Filename: vrp-3-1-1.txt
Algorithm: qaoa_coblya_5.py
Run: 2
Output: Route for Vehicle 1: [0, 3, 1, 2, 0]
Optimal cost: 1096
Time taken: 55.28947687149048 seconds
Error:
--------------------------------------------------
Filename: vrp-3-1-1.txt
Algorithm: qaoa_coblya_5.py
Run: 3
Output: Route for Vehicle 1: [0, 3, 1, 2, 0]
Optimal cost: 1096
Time taken: 55.10131907463074 seconds
Error:
--------------------------------------------------
Filename: vrp-3-2-1.txt
Algorithm: qaoa_coblya_5.py
Run: 1
Output: Route for Vehicle 1: [0, 1, 0]
Route for Vehicle 2: [0, 3, 2, 0]
Optimal cost: 1442
Time taken: 50.23977541923523 seconds
Error:
--------------------------------------------------
Filename: vrp-3-2-1.txt
Algorithm: qaoa_coblya_5.py
Run: 2
Output: Route for Vehicle 1: [0, 1, 0]
Route for Vehicle 2: [0, 3, 2, 0]
Optimal cost: 1442
Time taken: 50.96511888504028 seconds
Error:
--------------------------------------------------
Filename: vrp-3-2-1.txt
Algorithm: qaoa_coblya_5.py
Run: 3
Output: Route for Vehicle 1: [0, 1, 0]
Route for Vehicle 2: [0, 3, 2, 0]
Optimal cost: 1442
Time taken: 51.15443015098572 seconds
Error:
--------------------------------------------------
Filename: vrp-3-2-1.txt
Algorithm: qaoa_coblya_5.py
Run: 1
Output: Route for Vehicle 1: [0, 1, 0]
Route for Vehicle 2: [0, 3, 2, 0]
Optimal cost: 1442
Time taken: 53.87176156044006 seconds
Error:
--------------------------------------------------
Filename: vrp-3-2-1.txt
Algorithm: qaoa_coblya_5.py
Run: 2
Output: Route for Vehicle 1: [0, 1, 0]
Route for Vehicle 2: [0, 3, 2, 0]
Optimal cost: 1442
Time taken: 53.54705452919006 seconds
Error:
--------------------------------------------------
Filename: vrp-3-2-1.txt
Algorithm: qaoa_coblya_5.py
Run: 3
Output: Route for Vehicle 1: [0, 1, 0]
Route for Vehicle 2: [0, 3, 2, 0]
Optimal cost: 1442
Time taken: 54.102389097213745 seconds
Error:
--------------------------------------------------
Filename: vrp-4-3-3.txt
Algorithm: qaoa_coblya_5.py
Run: 1
Output: Route for Vehicle 1: [0, 1, 0]
Route for Vehicle 2: [0, 3, 2, 0]
Route for Vehicle 3: [0, 4, 0]
Optimal cost: 2337
Time taken: 6670.180021047592 seconds
Error:
--------------------------------------------------
Filename: vrp-4-3-3.txt
Algorithm: qaoa_coblya_5.py
Run: 2
Output: Route for Vehicle 1: [0, 1, 0]
Route for Vehicle 2: [0, 3, 2, 0]
Route for Vehicle 3: [0, 4, 0]
Optimal cost: 2337
Time taken: 6608.777380228043 seconds
Error:
--------------------------------------------------
Filename: vrp-4-3-3.txt
Algorithm: qaoa_coblya_5.py
Run: 3
Output: Route for Vehicle 1: [0, 1, 0]
Route for Vehicle 2: [0, 3, 2, 0]
Route for Vehicle 3: [0, 4, 0]
Optimal cost: 2337
Time taken: 6623.560200452805 seconds
Error:
--------------------------------------------------
Filename: vrp-4-3-3.txt
Algorithm: qaoa_coblya_5.py
Run: 1
Output: Route for Vehicle 1: [0, 1, 0]
Route for Vehicle 2: [0, 3, 2, 0]
Route for Vehicle 3: [0, 4, 0]
Optimal cost: 2337
Time taken: 6672.272054672241 seconds
Error:
--------------------------------------------------
Filename: vrp-4-3-3.txt
Algorithm: qaoa_coblya_5.py
Run: 2
Output: Route for Vehicle 1: [0, 1, 0]
Route for Vehicle 2: [0, 3, 2, 0]
Route for Vehicle 3: [0, 4, 0]
Optimal cost: 2337
Time taken: 6664.306875944138 seconds
Error:
--------------------------------------------------
Filename: vrp-4-3-3.txt
Algorithm: qaoa_coblya_5.py
Run: 3
Output: Route for Vehicle 1: [0, 1, 0]
Route for Vehicle 2: [0, 3, 2, 0]
Route for Vehicle 3: [0, 4, 0]
Optimal cost: 2337
Time taken: 6631.039100885391 seconds
Error:
--------------------------------------------------
Filename: vrp-5-4-1.txt
Algorithm: qaoa_coblya_5.py
Run: 1
Output:
Error: Killed
--------------------------------------------------
Filename: vrp-5-4-1.txt
Algorithm: qaoa_coblya_5.py
Run: 2
Output:
Error: Killed
--------------------------------------------------
Filename: vrp-5-4-1.txt
Algorithm: qaoa_coblya_5.py
Run: 3
Output:
Error: Killed
--------------------------------------------------
Filename: vrp-5-4-1.txt
Algorithm: qaoa_coblya_5.py
Run: 1
Output:
Error: Killed
--------------------------------------------------
Filename: vrp-5-4-1.txt
Algorithm: qaoa_coblya_5.py
Run: 2
Output:
Error: Killed
--------------------------------------------------
Filename: vrp-5-4-1.txt
Algorithm: qaoa_coblya_5.py
Run: 3
Output:
Error: Killed
--------------------------------------------------
Filename: vrp-4-1-1.txt
Algorithm: qaoa_coblya_5.py
Run: 1
Output: Route for Vehicle 1: [0, 3, 1, 4, 2, 0]
Optimal cost: 1121
Time taken: 7018.281286478043 seconds
Error:
--------------------------------------------------
Filename: vrp-4-1-1.txt
Algorithm: qaoa_coblya_5.py
Run: 2
Output: Route for Vehicle 1: [0, 3, 1, 4, 2, 0]
Optimal cost: 1121
Time taken: 7020.505529642105 seconds
Error:
--------------------------------------------------
Filename: vrp-4-1-1.txt
Algorithm: qaoa_coblya_5.py
Run: 3
Output: Route for Vehicle 1: [0, 3, 1, 4, 2, 0]
Optimal cost: 1121
Time taken: 7078.625306844711 seconds
Error:
--------------------------------------------------
Filename: vrp-4-1-1.txt
Algorithm: qaoa_coblya_5.py
Run: 1
Output: Route for Vehicle 1: [0, 3, 1, 4, 2, 0]
Optimal cost: 1121
Time taken: 7005.139648199081 seconds
Error:
--------------------------------------------------
Filename: vrp-4-1-1.txt
Algorithm: qaoa_coblya_5.py
Run: 2
Output: Route for Vehicle 1: [0, 3, 1, 4, 2, 0]
Optimal cost: 1121
Time taken: 6957.801494598389 seconds
Error:
--------------------------------------------------
Filename: vrp-4-1-1.txt
Algorithm: qaoa_coblya_5.py
Run: 3
Output: Route for Vehicle 1: [0, 3, 1, 4, 2, 0]
Optimal cost: 1121
Time taken: 7060.247668504715 seconds
Error:
--------------------------------------------------
Filename: vrp-6-5-1.txt
Algorithm: qaoa_coblya_5.py
Run: 1
Output:
Error: Traceback (most recent call last):
File "/home/krupa/Documents/VRP/VRP_RUN/QAOA/qaoa_coblya_5.py", line 231, in <module>
quantum_solution, quantum_cost = quantum_optimizer.solve_problem(qp)
File "/home/krupa/Documents/VRP/VRP_RUN/QAOA/qaoa_coblya_5.py", line 112, in solve_problem
result = optimizer.solve(qp)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_optimization/algorithms/minimum_eigen_optimizer.py", line 205, in solve
return self._solve_internal(operator, offset, problem_, problem)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_optimization/algorithms/minimum_eigen_optimizer.py", line 218, in _solve_internal
eigen_result = self._min_eigen_solver.compute_minimum_eigenvalue(operator)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py", line 225, in compute_minimum_eigenvalue
optimizer_result = self.optimizer.minimize(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/optimizers/scipy_optimizer.py", line 148, in minimize
raw_result = minimize(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_minimize.py", line 719, in minimize
res = _minimize_cobyla(fun, x0, args, constraints, callback=callback,
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_cobyla_py.py", line 35, in wrapper
return func(*args, **kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_cobyla_py.py", line 278, in _minimize_cobyla
sf = _prepare_scalar_function(fun, x0, args=args, jac=_jac)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_optimize.py", line 288, in _prepare_scalar_function
sf = ScalarFunction(fun, x0, args, grad, hess,
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 166, in __init__
self._update_fun()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 262, in _update_fun
self._update_fun_impl()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 163, in update_fun
self.f = fun_wrapped(self.x)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 145, in fun_wrapped
fx = fun(np.copy(x), *args)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py", line 318, in evaluate_energy
estimator_result = estimator.run(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/primitive_job.py", line 51, in result
return self._future.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 446, in result
return self.__get_result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/diagonal_estimator.py", line 122, in _call
sampler_result = job.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/primitive_job.py", line 51, in result
return self._future.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 446, in result
return self.__get_result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/sampler.py", line 101, in _call
probabilities = [
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/sampler.py", line 102, in <listcomp>
Statevector(bound_circuit_to_instruction(circ)).probabilities_dict(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/quantum_info/states/statevector.py", line 93, in __init__
self._data = Statevector.from_instruction(data).data
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/quantum_info/states/statevector.py", line 766, in from_instruction
init = np.zeros(2**instruction.num_qubits, dtype=complex)
numpy.core._exceptions._ArrayMemoryError: Unable to allocate 64.0 TiB for an array with shape (4398046511104,) and data type complex128
--------------------------------------------------
Filename: vrp-6-5-1.txt
Algorithm: qaoa_coblya_5.py
Run: 2
Output:
Error: Traceback (most recent call last):
File "/home/krupa/Documents/VRP/VRP_RUN/QAOA/qaoa_coblya_5.py", line 231, in <module>
quantum_solution, quantum_cost = quantum_optimizer.solve_problem(qp)
File "/home/krupa/Documents/VRP/VRP_RUN/QAOA/qaoa_coblya_5.py", line 112, in solve_problem
result = optimizer.solve(qp)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_optimization/algorithms/minimum_eigen_optimizer.py", line 205, in solve
return self._solve_internal(operator, offset, problem_, problem)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_optimization/algorithms/minimum_eigen_optimizer.py", line 218, in _solve_internal
eigen_result = self._min_eigen_solver.compute_minimum_eigenvalue(operator)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py", line 225, in compute_minimum_eigenvalue
optimizer_result = self.optimizer.minimize(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/optimizers/scipy_optimizer.py", line 148, in minimize
raw_result = minimize(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_minimize.py", line 719, in minimize
res = _minimize_cobyla(fun, x0, args, constraints, callback=callback,
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_cobyla_py.py", line 35, in wrapper
return func(*args, **kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_cobyla_py.py", line 278, in _minimize_cobyla
sf = _prepare_scalar_function(fun, x0, args=args, jac=_jac)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_optimize.py", line 288, in _prepare_scalar_function
sf = ScalarFunction(fun, x0, args, grad, hess,
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 166, in __init__
self._update_fun()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 262, in _update_fun
self._update_fun_impl()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 163, in update_fun
self.f = fun_wrapped(self.x)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 145, in fun_wrapped
fx = fun(np.copy(x), *args)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py", line 318, in evaluate_energy
estimator_result = estimator.run(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/primitive_job.py", line 51, in result
return self._future.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 446, in result
return self.__get_result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/diagonal_estimator.py", line 122, in _call
sampler_result = job.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/primitive_job.py", line 51, in result
return self._future.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 446, in result
return self.__get_result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/sampler.py", line 101, in _call
probabilities = [
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/sampler.py", line 102, in <listcomp>
Statevector(bound_circuit_to_instruction(circ)).probabilities_dict(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/quantum_info/states/statevector.py", line 93, in __init__
self._data = Statevector.from_instruction(data).data
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/quantum_info/states/statevector.py", line 766, in from_instruction
init = np.zeros(2**instruction.num_qubits, dtype=complex)
numpy.core._exceptions._ArrayMemoryError: Unable to allocate 64.0 TiB for an array with shape (4398046511104,) and data type complex128
--------------------------------------------------
Filename: vrp-6-5-1.txt
Algorithm: qaoa_coblya_5.py
Run: 3
Output:
Error: Traceback (most recent call last):
File "/home/krupa/Documents/VRP/VRP_RUN/QAOA/qaoa_coblya_5.py", line 231, in <module>
quantum_solution, quantum_cost = quantum_optimizer.solve_problem(qp)
File "/home/krupa/Documents/VRP/VRP_RUN/QAOA/qaoa_coblya_5.py", line 112, in solve_problem
result = optimizer.solve(qp)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_optimization/algorithms/minimum_eigen_optimizer.py", line 205, in solve
return self._solve_internal(operator, offset, problem_, problem)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_optimization/algorithms/minimum_eigen_optimizer.py", line 218, in _solve_internal
eigen_result = self._min_eigen_solver.compute_minimum_eigenvalue(operator)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py", line 225, in compute_minimum_eigenvalue
optimizer_result = self.optimizer.minimize(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/optimizers/scipy_optimizer.py", line 148, in minimize
raw_result = minimize(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_minimize.py", line 719, in minimize
res = _minimize_cobyla(fun, x0, args, constraints, callback=callback,
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_cobyla_py.py", line 35, in wrapper
return func(*args, **kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_cobyla_py.py", line 278, in _minimize_cobyla
sf = _prepare_scalar_function(fun, x0, args=args, jac=_jac)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_optimize.py", line 288, in _prepare_scalar_function
sf = ScalarFunction(fun, x0, args, grad, hess,
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 166, in __init__
self._update_fun()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 262, in _update_fun
self._update_fun_impl()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 163, in update_fun
self.f = fun_wrapped(self.x)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 145, in fun_wrapped
fx = fun(np.copy(x), *args)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py", line 318, in evaluate_energy
estimator_result = estimator.run(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/primitive_job.py", line 51, in result
return self._future.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 446, in result
return self.__get_result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/diagonal_estimator.py", line 122, in _call
sampler_result = job.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/primitive_job.py", line 51, in result
return self._future.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 446, in result
return self.__get_result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/sampler.py", line 101, in _call
probabilities = [
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/sampler.py", line 102, in <listcomp>
Statevector(bound_circuit_to_instruction(circ)).probabilities_dict(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/quantum_info/states/statevector.py", line 93, in __init__
self._data = Statevector.from_instruction(data).data
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/quantum_info/states/statevector.py", line 766, in from_instruction
init = np.zeros(2**instruction.num_qubits, dtype=complex)
numpy.core._exceptions._ArrayMemoryError: Unable to allocate 64.0 TiB for an array with shape (4398046511104,) and data type complex128
--------------------------------------------------
Filename: vrp-6-5-1.txt
Algorithm: qaoa_coblya_5.py
Run: 1
Output:
Error: Traceback (most recent call last):
File "/home/krupa/Documents/VRP/VRP_RUN/QAOA/qaoa_coblya_5.py", line 231, in <module>
quantum_solution, quantum_cost = quantum_optimizer.solve_problem(qp)
File "/home/krupa/Documents/VRP/VRP_RUN/QAOA/qaoa_coblya_5.py", line 112, in solve_problem
result = optimizer.solve(qp)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_optimization/algorithms/minimum_eigen_optimizer.py", line 205, in solve
return self._solve_internal(operator, offset, problem_, problem)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_optimization/algorithms/minimum_eigen_optimizer.py", line 218, in _solve_internal
eigen_result = self._min_eigen_solver.compute_minimum_eigenvalue(operator)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py", line 225, in compute_minimum_eigenvalue
optimizer_result = self.optimizer.minimize(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/optimizers/scipy_optimizer.py", line 148, in minimize
raw_result = minimize(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_minimize.py", line 719, in minimize
res = _minimize_cobyla(fun, x0, args, constraints, callback=callback,
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_cobyla_py.py", line 35, in wrapper
return func(*args, **kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_cobyla_py.py", line 278, in _minimize_cobyla
sf = _prepare_scalar_function(fun, x0, args=args, jac=_jac)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_optimize.py", line 288, in _prepare_scalar_function
sf = ScalarFunction(fun, x0, args, grad, hess,
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 166, in __init__
self._update_fun()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 262, in _update_fun
self._update_fun_impl()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 163, in update_fun
self.f = fun_wrapped(self.x)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 145, in fun_wrapped
fx = fun(np.copy(x), *args)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py", line 318, in evaluate_energy
estimator_result = estimator.run(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/primitive_job.py", line 51, in result
return self._future.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 446, in result
return self.__get_result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/diagonal_estimator.py", line 122, in _call
sampler_result = job.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/primitive_job.py", line 51, in result
return self._future.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 446, in result
return self.__get_result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/sampler.py", line 101, in _call
probabilities = [
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/sampler.py", line 102, in <listcomp>
Statevector(bound_circuit_to_instruction(circ)).probabilities_dict(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/quantum_info/states/statevector.py", line 93, in __init__
self._data = Statevector.from_instruction(data).data
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/quantum_info/states/statevector.py", line 766, in from_instruction
init = np.zeros(2**instruction.num_qubits, dtype=complex)
numpy.core._exceptions._ArrayMemoryError: Unable to allocate 64.0 TiB for an array with shape (4398046511104,) and data type complex128
--------------------------------------------------
Filename: vrp-6-5-1.txt
Algorithm: qaoa_coblya_5.py
Run: 2
Output:
Error: Traceback (most recent call last):
File "/home/krupa/Documents/VRP/VRP_RUN/QAOA/qaoa_coblya_5.py", line 231, in <module>
quantum_solution, quantum_cost = quantum_optimizer.solve_problem(qp)
File "/home/krupa/Documents/VRP/VRP_RUN/QAOA/qaoa_coblya_5.py", line 112, in solve_problem
result = optimizer.solve(qp)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_optimization/algorithms/minimum_eigen_optimizer.py", line 205, in solve
return self._solve_internal(operator, offset, problem_, problem)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_optimization/algorithms/minimum_eigen_optimizer.py", line 218, in _solve_internal
eigen_result = self._min_eigen_solver.compute_minimum_eigenvalue(operator)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py", line 225, in compute_minimum_eigenvalue
optimizer_result = self.optimizer.minimize(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/optimizers/scipy_optimizer.py", line 148, in minimize
raw_result = minimize(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_minimize.py", line 719, in minimize
res = _minimize_cobyla(fun, x0, args, constraints, callback=callback,
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_cobyla_py.py", line 35, in wrapper
return func(*args, **kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_cobyla_py.py", line 278, in _minimize_cobyla
sf = _prepare_scalar_function(fun, x0, args=args, jac=_jac)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_optimize.py", line 288, in _prepare_scalar_function
sf = ScalarFunction(fun, x0, args, grad, hess,
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 166, in __init__
self._update_fun()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 262, in _update_fun
self._update_fun_impl()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 163, in update_fun
self.f = fun_wrapped(self.x)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 145, in fun_wrapped
fx = fun(np.copy(x), *args)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py", line 318, in evaluate_energy
estimator_result = estimator.run(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/primitive_job.py", line 51, in result
return self._future.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 446, in result
return self.__get_result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/diagonal_estimator.py", line 122, in _call
sampler_result = job.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/primitive_job.py", line 51, in result
return self._future.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 446, in result
return self.__get_result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/sampler.py", line 101, in _call
probabilities = [
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/sampler.py", line 102, in <listcomp>
Statevector(bound_circuit_to_instruction(circ)).probabilities_dict(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/quantum_info/states/statevector.py", line 93, in __init__
self._data = Statevector.from_instruction(data).data
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/quantum_info/states/statevector.py", line 766, in from_instruction
init = np.zeros(2**instruction.num_qubits, dtype=complex)
numpy.core._exceptions._ArrayMemoryError: Unable to allocate 64.0 TiB for an array with shape (4398046511104,) and data type complex128
--------------------------------------------------
Filename: vrp-6-5-1.txt
Algorithm: qaoa_coblya_5.py
Run: 3
Output:
Error: Traceback (most recent call last):
File "/home/krupa/Documents/VRP/VRP_RUN/QAOA/qaoa_coblya_5.py", line 231, in <module>
quantum_solution, quantum_cost = quantum_optimizer.solve_problem(qp)
File "/home/krupa/Documents/VRP/VRP_RUN/QAOA/qaoa_coblya_5.py", line 112, in solve_problem
result = optimizer.solve(qp)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_optimization/algorithms/minimum_eigen_optimizer.py", line 205, in solve
return self._solve_internal(operator, offset, problem_, problem)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_optimization/algorithms/minimum_eigen_optimizer.py", line 218, in _solve_internal
eigen_result = self._min_eigen_solver.compute_minimum_eigenvalue(operator)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py", line 225, in compute_minimum_eigenvalue
optimizer_result = self.optimizer.minimize(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/optimizers/scipy_optimizer.py", line 148, in minimize
raw_result = minimize(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_minimize.py", line 719, in minimize
res = _minimize_cobyla(fun, x0, args, constraints, callback=callback,
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_cobyla_py.py", line 35, in wrapper
return func(*args, **kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_cobyla_py.py", line 278, in _minimize_cobyla
sf = _prepare_scalar_function(fun, x0, args=args, jac=_jac)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_optimize.py", line 288, in _prepare_scalar_function
sf = ScalarFunction(fun, x0, args, grad, hess,
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 166, in __init__
self._update_fun()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 262, in _update_fun
self._update_fun_impl()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 163, in update_fun
self.f = fun_wrapped(self.x)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 145, in fun_wrapped
fx = fun(np.copy(x), *args)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py", line 318, in evaluate_energy
estimator_result = estimator.run(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/primitive_job.py", line 51, in result
return self._future.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 446, in result
return self.__get_result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/diagonal_estimator.py", line 122, in _call
sampler_result = job.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/primitive_job.py", line 51, in result
return self._future.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 446, in result
return self.__get_result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/sampler.py", line 101, in _call
probabilities = [
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/sampler.py", line 102, in <listcomp>
Statevector(bound_circuit_to_instruction(circ)).probabilities_dict(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/quantum_info/states/statevector.py", line 93, in __init__
self._data = Statevector.from_instruction(data).data
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/quantum_info/states/statevector.py", line 766, in from_instruction
init = np.zeros(2**instruction.num_qubits, dtype=complex)
numpy.core._exceptions._ArrayMemoryError: Unable to allocate 64.0 TiB for an array with shape (4398046511104,) and data type complex128
--------------------------------------------------
Filename: vrp-4-2-1.txt
Algorithm: qaoa_coblya_5.py
Run: 1
Output: Route for Vehicle 1: [0, 1, 0]
Route for Vehicle 2: [0, 4, 0]
Optimal cost: 1580
Time taken: 6410.429115533829 seconds
Error:
--------------------------------------------------
Filename: vrp-4-2-1.txt
Algorithm: qaoa_coblya_5.py
Run: 2
Output: Route for Vehicle 1: [0, 1, 0]
Route for Vehicle 2: [0, 4, 0]
Optimal cost: 1580
Time taken: 6366.624451875687 seconds
Error:
--------------------------------------------------
Filename: vrp-4-2-1.txt
Algorithm: qaoa_coblya_5.py
Run: 3
Output: Route for Vehicle 1: [0, 1, 0]
Route for Vehicle 2: [0, 4, 0]
Optimal cost: 1580
Time taken: 6377.900919914246 seconds
Error:
--------------------------------------------------
Filename: vrp-4-2-1.txt
Algorithm: qaoa_coblya_5.py
Run: 1
Output: Route for Vehicle 1: [0, 1, 0]
Route for Vehicle 2: [0, 4, 0]
Optimal cost: 1580
Time taken: 6277.3284657001495 seconds
Error:
--------------------------------------------------
Filename: vrp-4-2-1.txt
Algorithm: qaoa_coblya_5.py
Run: 2
Output: Route for Vehicle 1: [0, 1, 0]
Route for Vehicle 2: [0, 4, 0]
Optimal cost: 1580
Time taken: 6393.123472929001 seconds
Error:
--------------------------------------------------
Filename: vrp-4-2-1.txt
Algorithm: qaoa_coblya_5.py
Run: 3
Output: Route for Vehicle 1: [0, 1, 0]
Route for Vehicle 2: [0, 4, 0]
Optimal cost: 1580
Time taken: 6443.028745651245 seconds
Error:
--------------------------------------------------
Filename: vrp-7-6-1.txt
Algorithm: qaoa_coblya_5.py
Run: 1
Output:
Error: Traceback (most recent call last):
File "/home/krupa/Documents/VRP/VRP_RUN/QAOA/qaoa_coblya_5.py", line 231, in <module>
quantum_solution, quantum_cost = quantum_optimizer.solve_problem(qp)
File "/home/krupa/Documents/VRP/VRP_RUN/QAOA/qaoa_coblya_5.py", line 112, in solve_problem
result = optimizer.solve(qp)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_optimization/algorithms/minimum_eigen_optimizer.py", line 205, in solve
return self._solve_internal(operator, offset, problem_, problem)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_optimization/algorithms/minimum_eigen_optimizer.py", line 218, in _solve_internal
eigen_result = self._min_eigen_solver.compute_minimum_eigenvalue(operator)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py", line 225, in compute_minimum_eigenvalue
optimizer_result = self.optimizer.minimize(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/optimizers/scipy_optimizer.py", line 148, in minimize
raw_result = minimize(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_minimize.py", line 719, in minimize
res = _minimize_cobyla(fun, x0, args, constraints, callback=callback,
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_cobyla_py.py", line 35, in wrapper
return func(*args, **kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_cobyla_py.py", line 278, in _minimize_cobyla
sf = _prepare_scalar_function(fun, x0, args=args, jac=_jac)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_optimize.py", line 288, in _prepare_scalar_function
sf = ScalarFunction(fun, x0, args, grad, hess,
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 166, in __init__
self._update_fun()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 262, in _update_fun
self._update_fun_impl()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 163, in update_fun
self.f = fun_wrapped(self.x)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 145, in fun_wrapped
fx = fun(np.copy(x), *args)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py", line 318, in evaluate_energy
estimator_result = estimator.run(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/primitive_job.py", line 51, in result
return self._future.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 446, in result
return self.__get_result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/diagonal_estimator.py", line 122, in _call
sampler_result = job.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/primitive_job.py", line 51, in result
return self._future.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 439, in result
return self.__get_result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/sampler.py", line 101, in _call
probabilities = [
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/sampler.py", line 102, in <listcomp>
Statevector(bound_circuit_to_instruction(circ)).probabilities_dict(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/quantum_info/states/statevector.py", line 93, in __init__
self._data = Statevector.from_instruction(data).data
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/quantum_info/states/statevector.py", line 766, in from_instruction
init = np.zeros(2**instruction.num_qubits, dtype=complex)
numpy.core._exceptions._ArrayMemoryError: Unable to allocate 1.00 EiB for an array with shape (72057594037927936,) and data type complex128
--------------------------------------------------
Filename: vrp-7-6-1.txt
Algorithm: qaoa_coblya_5.py
Run: 2
Output:
Error: Traceback (most recent call last):
File "/home/krupa/Documents/VRP/VRP_RUN/QAOA/qaoa_coblya_5.py", line 231, in <module>
quantum_solution, quantum_cost = quantum_optimizer.solve_problem(qp)
File "/home/krupa/Documents/VRP/VRP_RUN/QAOA/qaoa_coblya_5.py", line 112, in solve_problem
result = optimizer.solve(qp)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_optimization/algorithms/minimum_eigen_optimizer.py", line 205, in solve
return self._solve_internal(operator, offset, problem_, problem)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_optimization/algorithms/minimum_eigen_optimizer.py", line 218, in _solve_internal
eigen_result = self._min_eigen_solver.compute_minimum_eigenvalue(operator)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py", line 225, in compute_minimum_eigenvalue
optimizer_result = self.optimizer.minimize(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/optimizers/scipy_optimizer.py", line 148, in minimize
raw_result = minimize(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_minimize.py", line 719, in minimize
res = _minimize_cobyla(fun, x0, args, constraints, callback=callback,
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_cobyla_py.py", line 35, in wrapper
return func(*args, **kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_cobyla_py.py", line 278, in _minimize_cobyla
sf = _prepare_scalar_function(fun, x0, args=args, jac=_jac)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_optimize.py", line 288, in _prepare_scalar_function
sf = ScalarFunction(fun, x0, args, grad, hess,
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 166, in __init__
self._update_fun()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 262, in _update_fun
self._update_fun_impl()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 163, in update_fun
self.f = fun_wrapped(self.x)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 145, in fun_wrapped
fx = fun(np.copy(x), *args)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py", line 318, in evaluate_energy
estimator_result = estimator.run(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/primitive_job.py", line 51, in result
return self._future.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 446, in result
return self.__get_result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/diagonal_estimator.py", line 122, in _call
sampler_result = job.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/primitive_job.py", line 51, in result
return self._future.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 439, in result
return self.__get_result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/sampler.py", line 101, in _call
probabilities = [
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/sampler.py", line 102, in <listcomp>
Statevector(bound_circuit_to_instruction(circ)).probabilities_dict(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/quantum_info/states/statevector.py", line 93, in __init__
self._data = Statevector.from_instruction(data).data
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/quantum_info/states/statevector.py", line 766, in from_instruction
init = np.zeros(2**instruction.num_qubits, dtype=complex)
numpy.core._exceptions._ArrayMemoryError: Unable to allocate 1.00 EiB for an array with shape (72057594037927936,) and data type complex128
--------------------------------------------------
Filename: vrp-7-6-1.txt
Algorithm: qaoa_coblya_5.py
Run: 3
Output:
Error: Traceback (most recent call last):
File "/home/krupa/Documents/VRP/VRP_RUN/QAOA/qaoa_coblya_5.py", line 231, in <module>
quantum_solution, quantum_cost = quantum_optimizer.solve_problem(qp)
File "/home/krupa/Documents/VRP/VRP_RUN/QAOA/qaoa_coblya_5.py", line 112, in solve_problem
result = optimizer.solve(qp)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_optimization/algorithms/minimum_eigen_optimizer.py", line 205, in solve
return self._solve_internal(operator, offset, problem_, problem)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_optimization/algorithms/minimum_eigen_optimizer.py", line 218, in _solve_internal
eigen_result = self._min_eigen_solver.compute_minimum_eigenvalue(operator)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py", line 225, in compute_minimum_eigenvalue
optimizer_result = self.optimizer.minimize(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/optimizers/scipy_optimizer.py", line 148, in minimize
raw_result = minimize(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_minimize.py", line 719, in minimize
res = _minimize_cobyla(fun, x0, args, constraints, callback=callback,
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_cobyla_py.py", line 35, in wrapper
return func(*args, **kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_cobyla_py.py", line 278, in _minimize_cobyla
sf = _prepare_scalar_function(fun, x0, args=args, jac=_jac)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_optimize.py", line 288, in _prepare_scalar_function
sf = ScalarFunction(fun, x0, args, grad, hess,
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 166, in __init__
self._update_fun()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 262, in _update_fun
self._update_fun_impl()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 163, in update_fun
self.f = fun_wrapped(self.x)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 145, in fun_wrapped
fx = fun(np.copy(x), *args)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py", line 318, in evaluate_energy
estimator_result = estimator.run(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/primitive_job.py", line 51, in result
return self._future.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 446, in result
return self.__get_result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/diagonal_estimator.py", line 122, in _call
sampler_result = job.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/primitive_job.py", line 51, in result
return self._future.result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 439, in result
return self.__get_result()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/sampler.py", line 101, in _call
probabilities = [
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/primitives/sampler.py", line 102, in <listcomp>
Statevector(bound_circuit_to_instruction(circ)).probabilities_dict(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/quantum_info/states/statevector.py", line 93, in __init__
self._data = Statevector.from_instruction(data).data
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit/quantum_info/states/statevector.py", line 766, in from_instruction
init = np.zeros(2**instruction.num_qubits, dtype=complex)
numpy.core._exceptions._ArrayMemoryError: Unable to allocate 1.00 EiB for an array with shape (72057594037927936,) and data type complex128
--------------------------------------------------
Filename: vrp-7-6-1.txt
Algorithm: qaoa_coblya_5.py
Run: 1
Output:
Error: Traceback (most recent call last):
File "/home/krupa/Documents/VRP/VRP_RUN/QAOA/qaoa_coblya_5.py", line 231, in <module>
quantum_solution, quantum_cost = quantum_optimizer.solve_problem(qp)
File "/home/krupa/Documents/VRP/VRP_RUN/QAOA/qaoa_coblya_5.py", line 112, in solve_problem
result = optimizer.solve(qp)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_optimization/algorithms/minimum_eigen_optimizer.py", line 205, in solve
return self._solve_internal(operator, offset, problem_, problem)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_optimization/algorithms/minimum_eigen_optimizer.py", line 218, in _solve_internal
eigen_result = self._min_eigen_solver.compute_minimum_eigenvalue(operator)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py", line 225, in compute_minimum_eigenvalue
optimizer_result = self.optimizer.minimize(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/optimizers/scipy_optimizer.py", line 148, in minimize
raw_result = minimize(
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_minimize.py", line 719, in minimize
res = _minimize_cobyla(fun, x0, args, constraints, callback=callback,
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_cobyla_py.py", line 35, in wrapper
return func(*args, **kwargs)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_cobyla_py.py", line 278, in _minimize_cobyla
sf = _prepare_scalar_function(fun, x0, args=args, jac=_jac)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_optimize.py", line 288, in _prepare_scalar_function
sf = ScalarFunction(fun, x0, args, grad, hess,
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 166, in __init__
self._update_fun()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 262, in _update_fun
self._update_fun_impl()
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 163, in update_fun
self.f = fun_wrapped(self.x)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/scipy/optimize/_differentiable_functions.py", line 145, in fun_wrapped
fx = fun(np.copy(x), *args)
File "/home/krupa/anaconda3/envs/VRPenv/lib/python3.9/site-packages/qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py", line 318, in evaluate_energy