Robotics and quantum gates both share a deep structure. They both require steering a dynamical system along an optimal path. We port industry-tested trajectory optimization methods from robotics into quantum control.

High-fidelity gate synthesis, pulse optimization, and open-loop control for quantum hardware — with fine-grained control over constraints, costs, and solver backends.

Solve quantum optimal control problems using direct trajectory optimization. Define your system, constraints, and objectives — Piccolo handles the rest.

→ Use this first. High-level interface for gate synthesis & pulse optimization.

Circuit-to-pulse compilation layer built on Piccolo. Treats a gate-level circuit as a single unitary and synthesizes one optimized control pulse for the whole block — skipping gate decomposition and gate-boundary error accumulation.

→ Use this to compile circuits (e.g. QEC syndrome blocks) directly to hardware pulses.

🎓 Harvard University

Systematically benchmarking the expressivity of neutral atom arrays by engineering effective quantum interactions under various control regimes.

🎓 Stanford University

Designing and testing new hardware by developing novel integrated controls for complex quantum systems.

⚡ Infleqtion

Applying novel quantum optimal control approaches to design integrated solutions for quantum sensing applications.

🎓 NYU

Driving innovation in bosonic encodings for quantum error correction, navigating large state spaces with fine-tuned control.

💬 Slack
Join our Slack community to chat with the team

📖 Docs & Examples
Full tutorials and API reference at docs.harmoniqs.co

👋 Work With Us
Interested in collaborating? Reach out to us