AI & Machine Learning
We apply machine learning to accelerate quantum research, improving calibration, control, noise mitigation, and experiment optimization. Our focus is practical ML that boosts measurement quality and reduces tuning time across quantum devices and testbeds.
Physics
We study and model quantum behavior in real-world systems, focusing on measurement, noise, and dynamics that shape how quantum devices perform. Our work connects theory to experiments through practical, testable models and repeatable workflows.
Hardware
We research the hardware building blocks for quantum research, covering control electronics, cryogenic-ready integration, measurement chains, and lab automation. Our focus is reliable, low-noise setups that accelerate experiments and improve repeatability from benchtop validation to scalable testbeds.
Post-Quantum Cryptography
We research and implement quantum-resistant cryptography to protect data against future quantum attacks. Our focus includes migration planning, hybrid deployments, and performance-aware integration of NIST-aligned PQC into real systems (TLS, PKI, APIs, and device environments).
Mathematics
We develop and apply mathematical foundations for advanced computing and security, spanning optimization, probability, linear algebra, and cryptography. Our focus is turning rigorous theory into practical models, algorithms, and measurable performance improvements.