Package built on top of ITensors.jl and NamedGraphs.jl for simulating quantum circuits with tensor networks (TNs) of near-arbitrary geometry

Reduce circuit depth by compressing initial layers via approximate quantum compilation with tensor networks (AQC-Tensor)

An eigensolver used to scale up SQD chemistry workflows past 30 orbitals

Sample-based Quantum Diagonalization: Classically postprocess noisy quantum samples to yield more accurate eigenvalue estimations.

Qiskit Experiments library for GEM experiments

A minimal block sparse symmetric and fermionic tensor python library

Simulate Qiskit circuits using quimb.

desktop application to search melee replays and create interesting clips

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

Make your Jupyter notebooks squeaky clean

Faster simulations of fermionic quantum circuits.

Python module for quantum chemistry

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

An elegant Go board and SGF editor for a more civilized age.

Parse slp files and compute stats

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

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