PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
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Updated
Nov 11, 2024 - Python
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Automatic differentiation in C++; infinite differentiability of conditionals, loops, recursion and all things C++
Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine learning techniques.
The PennyLane-Cirq plugin integrates Google's Cirq software library with with PennyLane's quantum machine learning capabilities.
Differentiable Neural Computer in TensorFlow
A simple differentiable 2D physics simulator written in jax and pytorch
Differentiable model selection for quantum theory
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