SimuQ: A Framework for Programming Quantum Hamiltonian Simulation with Analog Compilation

• URL: http://arxiv.org/abs/2303.02775v3
• Date: Sun, 19 Nov 2023 02:13:31 GMT
• Title: SimuQ: A Framework for Programming Quantum Hamiltonian Simulation with Analog Compilation
• Authors: Yuxiang Peng, Jacob Young, Pengyu Liu, Xiaodi Wu
• Abstract summary: We design and implement SimuQ, the first framework for quantum Hamiltonian simulation. SimuQ supports Hamiltonian programming and pulse-level compilation to heterogeneous analog quantum simulators. We demonstrate the advantages of exposing the Hamiltonian-level programmability of devices with native operations or interaction-based gates.
• Score: 10.500024141116675
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Quantum Hamiltonian simulation, which simulates the evolution of quantum systems and probes quantum phenomena, is one of the most promising applications of quantum computing. Recent experimental results suggest that Hamiltonian-oriented analog quantum simulation would be advantageous over circuit-oriented digital quantum simulation in the Noisy Intermediate-Scale Quantum (NISQ) machine era. However, programming analog quantum simulators is much more challenging due to the lack of a unified interface between hardware and software. In this paper, we design and implement SimuQ, the first framework for quantum Hamiltonian simulation that supports Hamiltonian programming and pulse-level compilation to heterogeneous analog quantum simulators. Specifically, in SimuQ, front-end users specify the target quantum system with Hamiltonian Modeling Language, and the Hamiltonian-level programmability of analog quantum simulators is specified through a new abstraction called the abstract analog instruction set (AAIS) and programmed in AAIS Specification Language by hardware providers. Through a solver-based compilation, SimuQ generates executable pulse schedules for real devices to simulate the evolution of desired quantum systems, which is demonstrated on superconducting (IBM), neutral-atom (QuEra), and trapped-ion (IonQ) quantum devices. Moreover, we demonstrate the advantages of exposing the Hamiltonian-level programmability of devices with native operations or interaction-based gates and establish a small benchmark of quantum simulation to evaluate SimuQ's compiler with the above analog quantum simulators.

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