Research area
Optimization & Machine Learning
Quantum and quantum-inspired algorithms for constrained optimization, sampling, learning, and operational decision problems.
Research / capability map
Our work connects foundational methods to the physical and computational constraints that determine whether quantum technologies are useful.
Research area
Quantum and quantum-inspired algorithms for constrained optimization, sampling, learning, and operational decision problems.
Research area
Digital and analog approaches to materials, chemistry, field theories, and nonequilibrium systems.
Research area
Research at the interface of device physics, architecture, control, algorithms, and measurable application performance.
Research area
High-performance simulation, open research software, verification, and evidence-based benchmarking across platforms.
Research area
Theory, protocols, and system concepts for quantum-enhanced sensing and measurement.