hsinyuan-huang / provable-ml-quantum
Code for predicting ground states and classifying phases of matter
☆30Updated 2 years ago
Alternatives and similar repositories for provable-ml-quantum:
Users that are interested in provable-ml-quantum are comparing it to the libraries listed below
- A blog introducing the idea of classical shadow tomography, and Hamiltonian-driven shadow tomography of quantum states(https://arxiv.org/…☆25Updated 3 years ago
- Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.☆20Updated 9 months ago
- Code accompanying "Large Language Models for Variational Monte Carlo"☆9Updated last year
- An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.☆34Updated 4 years ago
- Gradient-descent quantum process tomography by learning Kraus operators☆23Updated 2 years ago
- ☆39Updated 5 years ago
- Decoding Quantum Error Correction codes with Generative Pre-trained Transformers☆36Updated 11 months ago
- ☆24Updated 2 years ago
- Code for predicting ground state properties using new ML model.☆11Updated last year
- Hardware-efficient learning of quantum many-body states. Code for simulating a U(1) lattice gauge theory and classifying topological orde…☆12Updated 2 years ago
- Fast quantum evolution and eigensolving using Krylov subspace methods via the PETSc/SLEPc libraries.☆34Updated 4 months ago
- Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"☆34Updated 2 years ago
- Variational quantum circuit synthesis☆12Updated 2 years ago
- Reconstructing quantum states with generative models☆50Updated 6 years ago
- An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems☆35Updated last year
- A set of tutorials for quantum reservoir learning.☆25Updated last week
- Matrix Product States on NISQ quantum computers☆29Updated 4 years ago
- Tools for optimizing quantum circuits and for performing rescaling-based error mitigation.☆10Updated 2 years ago
- A general purpose tensor network library in the Julia programming language☆44Updated last month
- A machine learning algorithm for topological quantum compiling☆30Updated 4 years ago
- Machine Learning Renormalization Group☆19Updated last year
- ☆12Updated 5 years ago
- Reproduce the random circuit sampling experiments of Sycamore quantum circuit☆33Updated 3 years ago
- fermionic Projected Entangled Pairs States (fPEPS)☆16Updated 6 years ago
- Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"☆50Updated 3 years ago
- A Quantum circuit simulator based on Restricted Boltzmann Machines.☆24Updated 2 years ago
- A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations☆75Updated 9 months ago
- Using very few experiments to efficiently learn an approximate model of an n-qubit quantum process.☆16Updated last year
- A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies, notebooks☆14Updated 11 months ago
- Python scripts for randomized measurements☆9Updated last year