Quantum simulations of interacting systems with broken time-reversal symmetry
Yotam Shapira, Tom Manovitz, Nitzan Akerman, Ady Stern, Roee Ozeri

TL;DR
This paper demonstrates the first quantum simulation of interacting, time-reversal symmetry broken systems using a scalable trapped-ion platform, enabling exploration of complex many-body phenomena beyond classical computational limits.
Contribution
It introduces a scalable scheme for implementing synthetic gauge fields with time-reversal breaking in a trapped-ion quantum processor, including novel coupling geometries and high-fidelity control.
Findings
First implementation of time-reversal breaking synthetic gauge fields in a trapped ion chain
Successful full state tomography of a ground state with persistent current
Observation of dynamics in a time-reversal broken system with nontrivial interactions
Abstract
Many-body systems of quantum interacting particles in which time-reversal symmetry is broken give rise to a variety of rich collective behaviors, and are therefore a major target of research in modern physics. Quantum simulators can potentially be used to explore and understand such systems, which are often beyond the computational reach of classical simulation. Of these, platforms with universal quantum control can experimentally access a wide range of physical properties. However, simultaneously achieving strong programmable interactions, strong time-reversal symmetry breaking, and high fidelity quantum control in a scalable manner is challenging. Here we realized quantum simulations of interacting, time-reversal broken quantum systems in a universal trapped-ion quantum processor. Using a scalable scheme that was recently proposed we implemented time-reversal breaking synthetic gauge…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNeural Networks and Reservoir Computing · Quantum Computing Algorithms and Architecture · Quantum Information and Cryptography
