⚛️ Agentic Quantum & Hardware Systems

Autonomous AI agents that design, optimize and verify quantum circuits and hardware.

A non-profit, open-science initiative at the intersection of agentic AI, quantum computing and hardware design.

🧭 Mission

Designing quantum circuits and digital/analog hardware is still a slow, expert-driven, trial-and-error process. We believe AI agents — systems that can plan, use tools, run simulations and learn from feedback — can make this process faster, more reliable and more accessible.

Our goal is to build open models, datasets and tools that let agents work alongside researchers and engineers across the full design loop:

Specify → Generate → Simulate → Verify → Optimize

🔬 Focus Areas

Area	What we work on
🧠 Agentic Circuit Design	LLM-based agents that turn natural-language specs into quantum circuits (Qiskit, Cirq, PennyLane) and HDL (Verilog / VHDL)
⚡ Quantum Circuit Optimization	Gate-count and depth reduction, transpilation and hardware-aware routing guided by agents
🔁 Simulation-in-the-Loop	Agents that call simulators and EDA tools, read the results and iterate on their own designs
✅ Verification & Testing	Automated testbench generation, equivalence checking and error analysis
🛡️ Noise & Error Mitigation	Learning-based approaches for noisy intermediate-scale quantum (NISQ) hardware
📊 Benchmarks & Datasets	Open datasets and evaluation suites for circuit and hardware design tasks

📦 What You'll Find Here

🤖 Models — fine-tuned models for circuit generation, optimization and code synthesis
📚 Datasets — curated circuit / HDL corpora, spec–design pairs and benchmark tasks
🚀 Spaces — interactive demos where you can try our agents in the browser

🚧 We're just getting started — first releases are on the way. Follow the organization to get notified.

🤝 Get Involved

We welcome researchers, students and engineers from quantum computing, hardware design and AI.

💬 Join the conversation in the Community tab
🐙 Follow our work on GitHub: @Melihakbulut221
⭐ Follow this organization on Hugging Face for new models, datasets and Spaces

Ideas, collaborations and contributions are always welcome — open a discussion and say hi!

📜 Open Science

As a non-profit, we are committed to openness. Unless stated otherwise, our releases are shared under permissive open-source licenses so the community can freely use, study and build on them. Please check each repository's model/dataset card for its specific license.

Building the future of hardware, one agent at a time. ⚛️🤖🔧