A quantum reinforcement learning framework based on PyTorch and PennyLane.
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Updated
Feb 8, 2024 - Python
A quantum reinforcement learning framework based on PyTorch and PennyLane.
This repository contains the source code of Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry
Quantum Classical Recurrent for Music Generation
Supplemental code for "Variational Quantum Optimization of Nonlocality in Noisy Quantum Networks"
Noise-assisted Variational Quantum Thermalization (NAVQT) is an algorithm used to learn the parameters in a variational quantum circuit which prepares a thermal state of a Hamiltonian. Different from other approaches it considers the noise itself as a variational parameter which can be learned using approximations on the entropy.
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