teng10

teng10's Stars

• qutip/QuantumToolbox.jl

  Quantum Toolbox in Julia

  Language:Julia5317

• Jutho/KrylovKit.jl

  Krylov methods for linear problems, eigenvalues, singular values and matrix functions

  Language:Julia30738

• TysonRayJones/LPC-PTM

  A painfully slow Python demonstration of a Pauli transfer matrix simulator

  Language:Python2

• mgerstgrasser/tacheles

  a lightweight, open-source blueprint for building powerful and scalable LLM chat applications

  Language:JavaScript302

• yangshun/tech-interview-handbook

  💯 Curated coding interview preparation materials for busy software engineers

  Language:TypeScript119k14.8k

• teng10/tn-shadow-qst

  Language:Jupyter Notebook51

• matt-lourens/hierarqcal

  Generate hierarchical quantum circuits for Neural Architecture Search.

  Language:Python4315

• ayosprakob/grassmanntn

  A python package for Grassmann tensor network computation

  Language:Python151

• tencent-quantum-lab/tensorcircuit

  Tensor network based quantum software framework for the NISQ era

  Language:Python28079

• qutip/qutip

  QuTiP: Quantum Toolbox in Python

  Language:Python1.7k639

• quantumlib/OpenFermion

  The electronic structure package for quantum computers.

  Language:Python1.5k377

• nasa/hybridq

  HybridQ is a highly extensible platform designed to provide a common framework to integrate multiple state-of-the-art techniques to simulate large scale quantum circuits on a variety of hardware. HybridQ provides tools to manipulate, develop, and extend noiseless and noisy circuits for different hardware architectures. HybridQ also supports large-scale high-performance computing (HPC) simulations, automatically balancing workload among different processor nodes and enabling the use of multiple backends to maximize parallel efficiency. Everything is then glued together by a simple and expressive language that allows seamless switching from one technique to another as well as from one hardware to the next, without the need to write lengthy translations, thus greatly simplifying the development of new hybrid algorithms and techniques.

  Language:Python5814

• hongyehu/PyClifford

  An intuitive programming package for simulating and analyzing Clifford circuits, quantum measurement, and stabilizer states with applications to many-body localization, classical shadows, quantum chemistry and error correction code.

  Language:Jupyter Notebook7515

• stephenjordan/stephenjordan.github.io

  Language:HTML8817

• frederikwilde/differentiable-tebd

  Language:Python5

• frederikwilde/scalable-dynamical-hamiltonian-learning

  71

• ccanonne/probabilitydistributiontoolbox

  Folklore facts on probability distribution learning, testing, and whatever-ing

  Language:TeX25411

• nomic-ai/gpt4all

  GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

  Language:C++70.9k7.7k

• oscarhiggott/PyMatching

  PyMatching: A Python/C++ library for decoding quantum error correcting codes with minimum-weight perfect matching.

  Language:C++19134

• yaleqc/qtcodes

  Qiskit Topological Codes

  Language:Jupyter Notebook9142

• albi3ro/M4

  Metals, Magnets, and Miscellaneous Materials: Blog Introduction to Computational Condensed Matter

  Language:Jupyter Notebook398

• jcmgray/cotengra

  Hyper optimized contraction trees for large tensor networks and einsums

  Language:Python18432

• google/TensorNetwork

  A library for easy and efficient manipulation of tensor networks.

  Language:Python1.8k359

• XanaduAI/qhack_2023_coding_challenges

  Language:Jupyter Notebook4319

• jcmgray/quimb

  A python library for quantum information and many-body calculations including tensor networks.

  Language:Python501109

• rokzitko/sneg

  sneg is a Mathematica package for performing algebraic calculation with non-commuting operators in many-particle physics

  Language:Mathematica538

• TensorNetwork/tensornetwork.org

  Source for The Tensor Network open-source review article

  Language:TeX15553

• QuantumBFS/Yao.jl

  Extensible, Efficient Quantum Algorithm Design for Humans.

  Language:Julia937123

• WildMeOrg/wildbook-ia

  Wildbook's Image Analysis (WBIA) backend service supporting machine learning for wildlife conservation

  Language:Python7821

• WildEyeConservation/TrapTagger

  AI-Powered Camera-Trap Image Processing

  Language:Python302