Abstracts
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Holographic dynamics simulations with a trapped ion quantum computer
Presenting Author: Eli Chertkov, Honeywell
Contributing Author(s): Justin Bohnet, David Francois, John Gaebler, Dan Gresh, Aaron Hankin, Kenny Lee, Ra'anan Tobey, David Hayes, Brian Neyenhuis, Russell Stutz, Andrew C. Potter, Michael Foss-Feig
Quantum computers promise to efficiently simulate quantum dynamics, a classically intractable task central to fields ranging from chemistry to high-energy physics. Quantum processors capable of high-fidelity mid-circuit measurement and qubit reuse enable a holographic technique that uses quantum tensor network states (qTNS), which efficiently compress quantum data, to simulate the evolution of infinitely-long, entangled initial states using a small number of qubits. In this poster, we discuss our recent benchmark of a holographic qTNS technique in a trapped ion quantum processor using 11 qubits to simulate an entangled state evolving under self-dual kicked Ising chain dynamics. We observe hallmarks of quantum chaos and light-cone propagation of correlations, and find excellent quantitative agreement with theoretical predictions for the infinite-size limit with minimal post-processing or error mitigation. These results show that qTNS methods, paired with state-of-the-art quantum processor capabilities, offer a viable route to practical quantum computational advantage on problems of direct interest to science and technology in the near term.
Read this article online: https://arxiv.org/abs/2105.09324
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