
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
News
September 24, 2026
Dr. Venturelli joined a panel on space sovereignty, quantum technology, and the road from battlefield applications to operational capability.
September 14, 2026
Dr. Venturelli and Dr. Hadfield will present latest research findings at two QCE workshops
July 1, 2026
Dr. Venturelli to talk at the UIDP London conference on Frontier Technologies and the New Conditions for International Collaboration.
Feynman Quantum Academy
Applications are reviewed year-round (no cohorts). Participants are mentored individual contributors collaborating in a sponsored research project.