state-vector

The Python framework for state-space modeling and algorithm development

Base functionality library for QuantumOptics.jl

A web-based quantum computing laboratory for circuit simulation, state visualization, and algorithm exploration. Runs entirely in the browser."

High-performance quantum computing in pure Rust + WebAssembly: state-vector circuit simulator with SIMD & noise models, VQE, Grover, QAOA, surface-code error correction, and real-time coherence via dynamic min-cut.

Fast Rust quantum circuit simulator. OpenQASM 3.0, multiple backends, AVX2 SIMD kernels, optional CUDA and MPI, QEC tooling, Python bindings.

Self Driving Car Preparation: Introduction

A from-scratch quantum computing simulator in NumPy: state-vector, tensor-network, and stabilizer engines with ~74 algorithms. Validated on IBM Quantum hardware.

P-MATRIX 4.0 Field Node Runtime — State Vector exchange, peer verification, local decision and enforcement for CLI Monitor integration

Browser-based quantum circuit simulator — Rust/Wasm state-vector engine, 6-qubit × 14-column gate grid, live probability updates, N-shot measurement, and built-in examples from Bell pairs to Grover's algorithm. Built with Next.js.

Quantum Mac Lab: interactive quantum computing simulator for Apple Silicon and Intel Macs with sci-fi UI, Bell/GHZ/Grover/QFT demos, and state-vector capacity estimates.

Exploring the motions and gravitational interactions of celestial objects. Contains scripts and algorithms to solve example problems.

Header-only C++17 state-vector quantum circuit simulator: O(2^n) strided-pair gate application, OpenMP-parallel, verified against analytic Bell/GHZ/QFT

A fast state-vector quantum circuit simulator for Apple Silicon

Microsoft Quantum Onboarding Project: Scalable 2/3-Qubit PIN Cracker & Overcooking Analysis (Grover's Algorithm) with Azure Quantum QDK

This is a Rust implementation of the Mersenne Twister (MT19937) pseudo random number generator (PRNG). This implementation allows you to generate random numbers seeded with the process ID (PID) of the running program, making the sequence of generated numbers different each time the program is run.