23–27 Sept 2024
Faculty of Physics
Europe/Berlin timezone

Imaging dynamics of the confinement transition in a lattice gauge theory

Not scheduled
2h
HS 2 (Max Born Hörsaal) (Faculty of Physics)

HS 2 (Max Born Hörsaal)

Faculty of Physics

Friedrich-Hund-Platz 1, 37077 Göttingen

Description

Lattice models can be employed to understand a wide range of phenomena, from elementary particles in high energy physics to effective descriptions of many-body interactions in materials. In these models, studying the emergent phases and their dynamical properties can be extremely challenging as it requires solving many-body problems that are generally beyond the perturbative limit.Using a 2D lattice of superconducting qubits, we study dynamics of local excitations in a $\mathbb{Z}_2$ lattice gauge theory (LGT). Implementing a simple variational ansatz allows us to design circuits to prepare low-energy quantum states with large overlap with the groundstate of the model via continuous variation of a single parameter. Particles can then be created using local gate operations and their dynamics simulated via a discretized time evolution. As the effective magnetic field strength is increased, measurements show clear signatures of transitioning from a deconfined to a confined phase. In the confined phase, tuning the effective magnetic field induces tension in the string connecting the charge excitations, which we observe with two-time correlation functions. Our LGT implementation on a quantum processor highlights a novel approach for studying dynamics of interacting elementary excitations.

Primary author

Bernhard Jobst (Technical University of Munich)

Co-authors

Dr Abe Asfaw (Google Quantum AI) Prof. Adam Gammon-Smith (University of Nottingham) Dr Eliott Rosenberg (Google Quantum AI) Prof. Frank Pollmann (Technical University of Munich) Mrs Melissa Will (Technical University of Munich) Prof. Michael Knap (Technical University of Munich) Dr Pedram Roushan (Google Quantum AI) Dr Tyler Cochran (Google Quantum AI) Dr Yuri Lensky (Google Quantum AI)

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