Simulating sparse SYK model with a randomized algorithm on a trapped-ion quantum computer
Etienne Granet, Yuta Kikuchi, Henrik Dreyer, Enrico Rinaldi

TL;DR
This paper demonstrates the simulation of a sparsified SYK model with 24 Majorana fermions on a trapped-ion quantum computer using a randomized algorithm, showcasing potential for larger-scale quantum simulations of chaotic systems.
Contribution
It introduces a novel randomized quantum algorithm, TETRIS, and an error mitigation technique for simulating the SYK model on noisy quantum hardware, enabling longer real-time dynamics observation.
Findings
Successful simulation of SYK model dynamics on trapped-ion hardware
Development of a scalable mirror-circuit benchmark for fidelity decay
Assessment of future resource requirements for larger SYK simulations
Abstract
The Sachdev-Ye-Kitaev (SYK) model describes a strongly correlated quantum system that shows a strong signature of quantum chaos. Due to its chaotic nature, the simulation of real-time dynamics becomes quickly intractable by means of classical numerics, and thus, quantum simulation is deemed to be an attractive alternative. Nevertheless, quantum simulations of the SYK model on noisy quantum processors are severely limited by the complexity of its Hamiltonian. In this work, we simulate the real-time dynamics of a sparsified version of the SYK model with 24 Majorana fermions on a trapped-ion quantum processor. We adopt a randomized quantum algorithm, TETRIS, and develop an error mitigation technique tailored to the algorithm. Leveraging the hardware's high-fidelity quantum operations and all-to-all connectivity of the qubits, we successfully calculate the Loschmidt amplitude for…
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