HendrikPN / scigymLinks
SciGym: A curated library of scientific reinforcement learning environments.
☆15Updated 3 years ago
Alternatives and similar repositories for scigym
Users that are interested in scigym are comparing it to the libraries listed below
Sorting:
- GRAPE with autograd on the TDSE and LME in Python☆12Updated last year
- A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.☆43Updated 3 years ago
- A Quantum circuit simulator based on Restricted Boltzmann Machines.☆24Updated 2 years ago
- Package for using Matrix Product States (MPS) to simulate quantum circuits.☆17Updated 4 years ago
- Julia package to perform quantum state and process tomography☆33Updated 3 weeks ago
- gradient based training of Quantum Circuit Born Machine☆43Updated 6 years ago
- Neural-network quantum state reconstruction (Qubits/Spin-1/2)☆12Updated 6 years ago
- Python framework for the reverse engineering of Hamiltonian models of quantum systems through machine learning.☆21Updated 2 years ago
- DEPRECATED - Variational quantum eigensolver built on XACC☆14Updated 5 years ago
- Gradient-descent quantum process tomography by learning Kraus operators☆23Updated 2 years ago
- Reconstructing quantum states with generative models☆50Updated 6 years ago
- ☆46Updated last year
- Matrix Product States on NISQ quantum computers☆29Updated 4 years ago
- A Mathematica package for multithreaded and GPU simulation of quantum computers☆36Updated last week
- ☆39Updated 5 years ago
- Neural network decoder for large distance toric code☆12Updated 5 years ago
- Differentiable simulation of superconducting quantum processors.☆24Updated 3 weeks ago
- Variational quantum circuit synthesis☆12Updated 2 years ago
- Reproduce the random circuit sampling experiments of Sycamore quantum circuit☆33Updated 3 years ago
- Optimize QAOA circuits for graph maxcut using tensorflow☆30Updated 6 years ago
- A package for efficient simulation and differentiation of parametrized quantum circuits.☆14Updated 2 years ago
- Design and optimize variational quantum sensors☆9Updated 5 months ago
- Quantum Circuit Learning☆15Updated 6 years ago
- Code for predicting ground states and classifying phases of matter☆32Updated 2 years ago
- Self-explaining Matrix Product States library in Python☆20Updated last year
- Unitary and Lindbladian evolution in Julia☆28Updated 3 years ago
- Julia codes for randomized measurements☆13Updated 3 weeks ago
- A machine learning algorithm for topological quantum compiling☆32Updated 4 years ago
- ☆45Updated 7 months ago
- Fast quantum evolution and eigensolving using Krylov subspace methods via the PETSc/SLEPc libraries.☆34Updated 7 months ago