Optimal Hamiltonian simulation for time-periodic systems
Kaoru Mizuta, Keisuke Fujii

TL;DR
This paper introduces an optimal quantum simulation method for time-periodic (Floquet) systems, achieving near-optimal resource efficiency and overcoming challenges posed by time-dependency in quantum evolution.
Contribution
The authors develop a novel Floquet-Hilbert space approach enabling efficient Hamiltonian simulation of time-periodic systems without time-ordering complexities, matching the efficiency of time-independent methods.
Findings
Query complexity is optimal in time and nearly optimal in error dependence.
Simulation efficiency for Floquet systems is comparable to that of time-independent Hamiltonians.
Applications include simulating nonequilibrium phenomena and adiabatic state preparation.
Abstract
The implementation of time-evolution operators , called Hamiltonian simulation, is one of the most promising usage of quantum computers. For time-independent Hamiltonians, qubitization has recently established efficient realization of time-evolution , with achieving the optimal computational resource both in time and an allowable error . In contrast, those for time-dependent systems require larger cost due to the difficulty of handling time-dependency. In this paper, we establish optimal/nearly-optimal Hamiltonian simulation for generic time-dependent systems with time-periodicity, known as Floquet systems. By using a so-called Floquet-Hilbert space equipped with auxiliary states labeling Fourier indices, we develop a way to certainly obtain the target time-evolved state without relying on either time-ordered product or Dyson-series expansion.…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum many-body systems · Quantum Information and Cryptography
