A Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
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Updated
Dec 23, 2024 - Python
A Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
An open-source Python framework for hybrid quantum-classical machine learning.
The electronic structure package for quantum computers.
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
A fast stabilizer circuit library.
Tensor network based quantum software framework for the NISQ era
Research using Cirq!
Tutorials for Quantum Algorithms with Qiskit implementations.
Library for pulse-level/analog control of neutral atom devices. Emulator with QuTiP.
Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.
OpenFermion plugin to interface with the electronic structure package PySCF.
Tensor Train Toolbox
Companion code for Learn Quantum Computing with Python and Q# Book by Dr. Sarah Kaiser and Dr. Cassandra Granade 💖
OpenFermion plugin to interface with the electronic structure package Psi4.
Quantum computational chemistry based on TensorCircuit
The Fermionic Quantum Emulator (FQE) is a fermionic simulation research tool specializing in quantum circuits emulating fermion dynamics.
QuEra's Neutral Atom SDK for Analog QPUs
A reference implementation for a quantum virtual machine in Python
An OCaml based implementation of a Quil QVM
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