A Multi-Qubit Ideal Quantum Computer Simulator

Schrödinger and Schrödinger-Feynman simulators for quantum circuits.

Comprehensive, GPU accelerated framework for developing universal virtual quantum processors

Object-oriented Python library for computation of properties of highly-excited Rydbeg states of alkali and divalent atoms.

Specification and Implementation of Quantum Common Lisp, for gate-model quantum computers

The Qis|krypt⟩ is a software suite of protocols of quantum cryptography and quantum communications, as well, other protocols and algorithms, built using IBM’s open-source Software Development Kit for quantum computing Qiskit. ⚛️ 🔐

QASMBench is an OpenQASM benchmark suite running on IBM Quantum-Experience backends.

A full stack simulator of quantum hardware, from the low-level analog physics to high-level network dynamics. Includes discrete event simulator, symbolic representation for quantum object, and works with many backend simulators.

Library for fast computations involving indistinguishable bosons

Type an M x M matrix for your open quantum system Hamiltonian, and give a spectral density (analytic or numerical). FeynDyn gives the density matrix dynamics according to the Leggett-Caldeira bath or the Feynman-Vernon bath at any temperature. Can do up to 16 qubits (65536 levels) and infinitely many bath modes. Email nike@hpqc.org for the lates…

A small, hackable, optimized framework for learning quantum computing with examples.

A collection of Jupyter Notebooks with explanations, insights, tutorials, exercises and showing how to use the Qiskrypt software suite, built using the IBM’s open-source Software Development Kit for quantum computing Qiskit. 📚 👨‍🏫

Light-weight, Scalable and Fast Quantum Simulator

Quantum Computation Simulation with SAGE

simple quantum virtual machine

A small package for numerical simulation of quantum systems. Created as an alternative to qutip due to code generation limitations in the latter. It was an amusing experiment in code generation, but now Tensorflow and Theano support complex sparse matrices, so you can just use them with a bit of a wrapper. Or QuantumOptics.jl in Julia.

Effective Quantum Simulator for Networks (EQSN) implementation in python

Quantum computing simulation for Common Lisp

A Quantum Simulator program utilizing matrix operations to simulate a quantum system capable of reproducing pseudo fundamentals of superposition and entanglement.

This is an implementation of IBM's Quantum Experience in simulation; a 5-qubit quantum computer with a limited set of gates.