Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.

An open-source Python framework for hybrid quantum-classical machine learning.

Python package for compiling and analyzing quantum algorithms to simulate electronic structures.

Companion site for the textbook Quantum Computing: An Applied Approach

Fast C++ and Python library for state-vector simulation of quantum circuits.

A fast stabilizer circuit library.

Python modules for quantum computing applications and experiments using Cirq. Research using Cirq!

Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.

OpenFermion plugin to interface with the electronic structure package PySCF.

Search-based decoder for quantum error correction (QEC) written in C++ and Python.

OpenFermion plugin to interface with the electronic structure package Psi4.

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

Open-source API library providing common operations for adding quantum behaviors to games.

TNCO is a heuristic tool that optimizes tensor network contraction paths.

Open-source implementation of a "Möbius decoder" for color codes used in quantum error correction (QEC)

QcHack 2021 Google Challenge

A collection of quantum computing code snippets.

🔍 Explore Quantum Machine Learning by comparing Hybrid VQC and Quantum Kernel SVM for binary classification using PyTorch and PennyLane.

🧪 Simulate molecules with an advanced quantum simulator using Flask and JavaScript for real-time analysis and responsive web interaction.

Performing some tutorials, exersises & walkthroughs related to quantum computing - Cirq