hsinyuan-huang / learning-quantum-processLinks
Using very few experiments to efficiently learn an approximate model of an n-qubit quantum process.
☆16Updated 2 years ago
Alternatives and similar repositories for learning-quantum-process
Users that are interested in learning-quantum-process are comparing it to the libraries listed below
Sorting:
- A blog introducing the idea of classical shadow tomography, and Hamiltonian-driven shadow tomography of quantum states(https://arxiv.org/…☆28Updated 4 years ago
- Code for predicting ground states and classifying phases of matter☆32Updated 2 years ago
- An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.☆34Updated 4 years ago
- ☆12Updated 5 years ago
- Reconstructing quantum states with generative models☆50Updated 6 years ago
- A machine learning algorithm for topological quantum compiling☆32Updated 4 years ago
- ☆29Updated last year
- Matrix Product States on NISQ quantum computers☆29Updated 4 years ago
- Decoding Quantum Error Correction codes with Generative Pre-trained Transformers☆35Updated last year
- Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.☆20Updated last year
- An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems☆35Updated last year
- ☆39Updated 5 years ago
- Tensor network contraction function for Python 3.☆48Updated 2 years ago
- An intuitive programming package for simulating and analyzing Clifford-dominated circuits, quantum measurement, and stabilizer states wit…☆77Updated 3 weeks ago
- Quantum state tomography with conditional generative adversarial networks☆35Updated 2 years ago
- Code accompanying "Large Language Models for Variational Monte Carlo"☆9Updated last year
- A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations☆78Updated last year
- Gradient-descent quantum process tomography by learning Kraus operators☆23Updated 2 years ago
- Julia codes for randomized measurements☆13Updated 3 weeks ago
- ☆11Updated 3 years ago
- Python scripts for randomized measurements☆12Updated 2 years ago
- Variational quantum circuit synthesis☆12Updated 2 years ago
- Qiskit implementation of classical shadow formalism with VQE for calculating ground state energies of molecules☆13Updated last year
- Python implementation of quantum tensor network operations and simulations: matrix product states and operators, TDVP time evolution, sup…☆63Updated 2 weeks ago
- code for Unsupervised Generative Modeling using Matrix Product States☆43Updated 2 years ago
- Deep Multiscale Renormalization Ansatz(DMERA) : Noise-Resilient Quantum Simulation of Strongly Correlated Quantum Many-body Systems☆15Updated 4 years ago
- Program to calculate SDPs using Noisy intermediate scale quantum (NISQ) computers.☆11Updated 4 months ago
- 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
- A matrix-product-operators solver for the dynamics of interacting qubits modeled by a Lindblad master equation, written in C++ and wrappe…☆41Updated last week
- Mathematica package for calculating polynomial integrals over the unitary group☆13Updated 5 years ago