Physics,
information,
and the future
of computing

Algorithms and tooling for quantum information processing, from tensor-network search methods to photonic/fermionic simulators and hardware-aware runtimes for near-term devices.

Quantum many-body systems, sensing, and neutral-atom control, linking NV-center metrology, dipolar gases, and Rydberg platforms to practical calibration and control tooling.

Performance- and hardware-efficient AI, building tools that make models faster, leaner, and more reliable on real-world compute.