Quantum Advantage
Are quantum systems more powerful than classical ones? Random quantum circuit dynamics provide fertile territory for exploring information processing tasks that outperform any classical algorithm, even prior to fault tolerance.
Research
Quantum information scrambling, dynamics, and many-body physics.
The Bentsen Quantum Information Science group studies the dynamics of quantum information in quantum many-body systems.
Overview
Harnessing quantum chaos for discovery and technology.
The Bentsen Quantum Information Science group studies the dynamics of quantum information in quantum many-body systems. Our research aims to harness these quantum systems for applications in information processing, precision sensing, and simulation of many-body dynamics.
Our group aims to understand and exploit the physics of quantum many-body systems using tools from quantum information theory, condensed matter theory, the holographic principle, and cold-atom quantum simulators.
Research Directions
From fundamental dynamics to near-term quantum technologies.
We pursue two interrelated goals: enhancing our understanding of naturally occurring phenomena in quantum many-body systems, and engineering new technologies and techniques inspired by these phenomena.
Precision Sensing
Quantum systems can be harnessed to make extremely precise measurements of external magnetic, electric, or gravitational fields for timekeeping, navigation, and security tasks.
Many-Body Quantum Dynamics
Strongly interacting quantum many-body systems remain poorly understood because they are computationally intractable to simulate on classical computers.
Fault-Tolerant Quantum Computation
Quantum error-correcting codes and decoding algorithms enable real-time error detection and correction in near-term quantum computers.
Approaches
Controlled experiments, scalable theory, and practical observables.
The Bentsen QIS group leverages the dynamics of quantum information to inform controlled experiments in near-term quantum platforms employing neutral cold atoms, trapped ions, superconducting qubits, and other emerging quantum technologies.
Quantum information scrambling describes the spreading of local information across a quantum system in a complex pattern of entanglement. Understanding and harnessing this many-body entanglement provides new capabilities for sensing, simulation, and information processing.
Analytic Models
Tractable models, controlled approximations, and solvable limits yield physical insight into challenging many-body physics problems.
Numerical Studies
High-performance computing tools enable testing of models and protocols across system size, noise, connectivity, and measurement constraints.
Experimental Co-Design
Control and measurement strategies are framed for realistic experimental platforms rather than idealized abstractions.
Collaborative Exchange
Open problems are tackled by collaborative dialogue with experimentalists, theorists, and industry collaborators.