On the complexity of implementing Trotter steps
Guang Hao Low, Yuan Su, Yu Tong, Minh C. Tran

TL;DR
This paper introduces methods to perform faster Trotter steps for quantum simulation, achieving sublinear complexity in the number of Hamiltonian terms for certain classes of Hamiltonians, and establishes lower bounds for generic cases.
Contribution
It develops novel techniques for reducing gate complexity of Trotter steps in quantum simulation, especially for Hamiltonians with decaying interactions and low-rank blocks, and proves fundamental lower bounds.
Findings
Achieves sublinear gate complexity for specific Hamiltonians.
Provides improved simulation bounds for electron gas models.
Establishes a lower bound of Ω(n^2) gates for generic Hamiltonians.
Abstract
Quantum dynamics can be simulated on a quantum computer by exponentiating elementary terms from the Hamiltonian in a sequential manner. However, such an implementation of Trotter steps has gate complexity depending on the total Hamiltonian term number, comparing unfavorably to algorithms using more advanced techniques. We develop methods to perform faster Trotter steps with complexity sublinear in the number of terms. We achieve this for a class of Hamiltonians whose interaction strength decays with distance according to power law. Our methods include one based on a recursive block encoding and one based on an average-cost simulation, overcoming the normalization-factor barrier of these advanced quantum simulation techniques. We also realize faster Trotter steps when certain blocks of Hamiltonian coefficients have low rank. Combining with a tighter error analysis, we show that it…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum many-body systems · Quantum Information and Cryptography
