Harmoniqs offers a modality‑agnostic control software layer that unifies and automates low‑latency control and calibration for quantum hardware across superconducting, trapped‑ion, photonic and other qubit platforms. The platform uses robotics‑inspired trajectory optimization, high‑performance computing, and generative AI to generate precise control pulses, adapt to system drift in real time, and streamline experiment workflows for research labs and quantum hardware developers.
Funding
Funding not disclosed
Founders
Product
Problem
Quantum hardware platforms span multiple qubit modalities and require intricate, low-latency control and calibration routines. Existing software stacks are often siloed, manually tuned, and lack integration with advanced optimization, high‑performance computing, and AI techniques, leading to prolonged experiment cycles and reduced reproducibility.
Solution
Harmoniqs provides a unified control software layer that abstracts the underlying hardware differences across quantum systems. The platform incorporates robotics and aerospace‑inspired trajectory optimization algorithms to generate precise control pulses and calibration sequences. By leveraging emerging high‑performance computing resources and generative AI tools, Harmoniqs automates calibration, adapts to drift in real time, and accelerates the development of quantum experiments. The software integrates with existing quantum hardware interfaces, enabling researchers to focus on scientific objectives rather than low‑level control engineering.
Target Audience
Primary customers are university quantum research labs, national research institutions, and commercial quantum hardware developers seeking to streamline control and calibration across diverse qubit platforms.
Features
- Modality‑agnostic API that supports superconducting, trapped‑ion, photonic, and other qubit technologies
- Robotics‑inspired trajectory optimization for high‑fidelity pulse shaping and gate execution
- Automated calibration workflows powered by machine‑learning models that learn system drift and adjust parameters on the fly
- Scalable execution engine that can offload compute‑intensive tasks to HPC clusters or cloud resources
- Generative AI tools for rapid synthesis of control sequences and error mitigation strategies
- Integrated monitoring and diagnostics dashboard for real‑time performance tracking