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

High-performance, differentiable quantum state-vector & tensor network simulator in 100% pure JAX (no classical framework overhead). Accelerated on NVIDIA GPUs and Google Cloud TPU v6e-64/v5e VM clusters up to 37 qubits! Supported by Google's TPU Research Cloud (TRC) program.

An open-source control library for electrostatically confined spin-qubits developed by HRL Quantum and based on the Quantum Instrumentation Control Kit (QICK).

A dynamically executed quantum-classical hybrid runtime.

An experimental python library to compile and analyze the cost of any desired composite simulation in real or imaginary time, and with or without local interactions. It also contains methods to self optimize simulation parameters for optimal performance.

Fixed linear ramp schedules in QAOA constitute a universal set parameters, i.e., a set of γ and β parameters that rapidly approximate the optimal solution, x∗, independently of the COP selected, and that the success probability of finding it, probability(x∗), increases with the number of QAOA layers p.

This project is an exploration into quantum mechanics and quantum cryptography. Understanding the principles and applicaitons of quantum technologies before exploring quantum algorithms for cryptography and their impact on this field. The project includes both explanations and code for learning about the field.

IBM Qiskit Global Summer School: The Past, Present and Future of Quantum Computing, Simulate an Oxygen molecules and Nitrogen molecules, using quantum computers, by Mauro Risonho de Paula Assumpção

Repository for the paper "Quantum Logic Operations and Graph Coloring".

🔮️🖥️⚡️📖️ The official documentation source repository for Project Quantum Overdrive, a quantum computing idea pool project.

Rust library for exploring quantum computation and information processing

MATLAB scripts used in studies of random spanning trees on quantum annealers

AI-driven generative quantum circuit design for molecular & materials discovery — GNN + Transformer + QD-GRPO reinforcement learning + CUDA-Q, validated on QPU hardware. GIC 2026.

Evolutionary Discovery of Hybrid Quantum-Classical Computational Workflows

A tool to check your Atlassian Connect app against Atlassian's security requirements.

An AI Quantum hybrid system for optimized uranium exploration and real-time energy management in SMRs, aimed at sustainable, neutral energy solutions

The long-term goal we are striving for is to create an optical quantum computer. This task consists of three sub-stages: encoding information in light quanta (photons), causing interactions between photons and reading the encoded information. We want to deal with the first stage using ML-enhanced phase-only transformations.

Real-time quantum state tomography via Geometric Shadow Inversion. Reconstructs full-rank mixed states 100x faster than MLE by exploiting an Information Threshold at M/P ≈ 1.17.

RQM native circuit language that provides quaternion-native circuit models, gate compositions, state preparation templates, and canonicalization

16-qubit threshold collapse simulation showing excitation-entropy tradeoffs. Paper, data, and code from PatternRipple Labs.