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Audit tutorials for 2.0 compatibility #2980
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Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
Some of these tutorials rely on packages which are not included in the nb-tester |
The last few tutorials using functions: So instead of ensuring the notebook ran in a fresh 2.0 environment, I manually inspected the code which grabs the function results and made sure that it matched what we have listed in documentation. |
One or more of the following people are relevant to this code: |
Closes #2967
List of tutorials to check:
advanced-techniques-for-qaoa.ipynb
ai-transpiler-introduction.ipynb
build-repetition-codes.ipynb
building-workflows-with-the-ibm-circuit-function.ipynb
chsh-inequality.ipynb
circuit-transpilation-settings.ipynb
combine-error-mitigation-options-with-the-estimator-primitive.ipynb
compute-dissociation-curves-for-strong-coupling-systems-with-quna-sys-qsci.ipynb
generating-long-range-entanglement-with-measurements.ipynb
grovers-algorithm.ipynb
heisenberg-chain.ipynb
improved-trotterized-time-evolution-with-approximate-quantum-compilation.ipynb
improving-energy-estimation-of-a-fermionic-hamiltonian-with-sqd.ipynb
improving-estimation-of-expectation-values-with-operator-backpropagation.ipynb
krylov-subspace-expansion.ipynb
long-range-entanglement-with-limited-qubit-connectivity.ipynb
quantum-approximate-optimization-algorithm.ipynb
quantum-kernel-training.ipynb
qunova-hivqe.ipynb
real-time-benchmarking-for-qubit-selection.ipynb
reduce-transpiled-circuit-depth-with-circuit-cutting.ipynb
repeat-until-success.ipynb
scaling-periodic-boundary-problems-with-circuit-cutting.ipynb
solve-higher-order-binary-optimization-problems-with-q-ctrls-optimization-solver.ipynb
solving-maxcut-with-reduced-qubit-requirements-using-pauli-correlation-encoding.ipynb
transpilation-optimizations-with-sabre.ipynb
utility-scale-error-mitigation-with-probabilistic-error-amplification.ipynb
variational-quantum-eigensolver.ipynb
wire-cutting-to-improve-performance.ipynb