
Optimization & Machine Learning
Quantum and quantum-inspired algorithms for constrained optimization, sampling, learning, and autonomous reasoning problems.
Research Institute for Advanced Computer Science / Quantum Team
Foundamental and applied research across quantum algorithms, numerical simulation, hardware physics, benchmarking, and theory and design of quantum sensors.
Research capability map

Quantum and quantum-inspired algorithms for constrained optimization, sampling, learning, and autonomous reasoning problems.

Digital and analog approaches to simulate static and dynamical aspects of materials, chemistry, field theories.

Research at the interface of device physics, architecture, control, error handling, algorithms.

High-performance simulation, open research software, verification, and evidence-based benchmarking across platforms.

Theory, protocols, and system concepts for quantum-enhanced sensing and measurement, and its intersection with computing and quantum information transduction.
Latest publications
PUBLICATION / 2026 Latest publication
arXiv preprint arXiv:2607.09368
PUBLICATION / 2026 Latest publication
arXiv preprint arXiv:2606.28234
News
July 1, 2026
Dr. Venturelli to talk at the UIDP London conference on Frontier Technologies and the New Conditions for International Collaboration.
June 21, 2026
Thursday June 25, 2026: Panel on How are the DoE National Labs driving leadership in Quantum Technologies?
Feynman Quantum Academy
Applications are reviewed year-round (no cohorts). Participants are mentored individual contributors collaborating in a sponsored research project.