andyW296

OpenFermion-FQE

The Fermionic Quantum Emulator (FQE) is a fermionic simulation research tool specializing in quantum circuits emulating fermion dynamics.

fcdmft

Ab initio full cell dynamical mean-field theory (DMFT) and GW+DMFT for solids

potato

Genshin-Impact

原神-私服

sparse-ir

On-the-fly computation of IR basis functions

noise-resilient-phase-estimation

A noise resilient phase estimation method by using randomized compiling

Quantum-C-EM

This repostory focus on quantum computing and error mitigation with tensornetwork techniques.

quafu-runtime

SPSA-algorithm

随机扰动近似算法 Stochastic perturbation approximation algorith—— python实现

Quafu

A small SoC with a pipeline 32-bit RISC-V CPU.

quantum_database

tensorcircuit

Tensor network based quantum software framework for the NISQ era

Quantum_Machine_Learning_Express

This project is one of the Qiskit mentorship programs to replicate two papers arXiv:1905.10876 and arXiv:2003.09887 using the Qiskit environment. We evaluate the parameterized quantum circuit, reproduce the expressibility and entangling capability of the 19 circuits, and the classification accuracy.

haar_distribution

Include a Haar distribution class that can sample approximately uniform unitary matrices of a given dimension. A distribution function is also included so that you can evaluate the distribution at a certain parameter. A module "unitary_stuffs" with a parametrization of unitaries is also available.

quantum-native-dojo

量子コンピュータ初学者のための自習教材

ansatz-based-imaginary-time-evolution

Ansatz-based imaginary time evolution method for quantum computing, implemented using mindquantum

qmps_syc

This repository holds the code to generate results for the work "Simulating groundstate and dynamical quantum phase transitions on a superconducting quantum computer"

qml

Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.

QuantumFlow_Tutorial

A step-by-step tutorial of QuantumFlow, using the MNIST sub-dataset {3,6} and the 16-2-2 neural network as an example.

MPS-in-Qiskit

Preparing Matrix Product State in Qiskit

TN_tutorial

Tutorial for TN algorithms

qiskit-machine-learning

Quantum Machine Learning

NeuralNetworks-for-Quantum

Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"

ibm-quantum-challenge-2021

For IBM Quantum Challenge 2021 (May 20 - 26)

pennylane

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.

qiskit-tutorials

A collection of Jupyter notebooks showing how to use the Qiskit SDK

framework-agnostic-vqe-tutorial

A brief introduction to VQE with framework agnostic code

OpenFermion

The electronic structure package for quantum computers.

quantum-computer-systems-lectures

MLinQCbook22