Approximate real-time evolution operator for potential with one ancillary qubit and application to first-quantized Hamiltonian simulation
Xinchi Huang, Taichi Kosugi, Hirofumi Nishi, Yu-ichiro Matsushita

TL;DR
This paper compares methods for implementing real-time evolution operators generated by diagonal unitaries, proposing efficient approximate techniques for large systems and applying them to first-quantized Hamiltonian simulation.
Contribution
It introduces polynomial approximation methods for diagonal unitaries, analyzing resource overheads and applying these to potential evolution in quantum simulations.
Findings
Polynomial approximation reduces gate count for large systems.
Resource estimates depend on error bounds and grid parameters.
Approximate methods are effective for potential evolution in quantum simulations.
Abstract
In this article, we compare the methods implementing the real-time evolution operator generated by a unitary diagonal matrix where its entries obey a known underlying real function. When the size of the unitary diagonal matrix is small, a well-known method based on Walsh operators gives a good and precise implementation. In contrast, as the number of qubits grows, the precise one uses exponentially increasing resources, and we need an efficient implementation based on suitable approximate functions. Using piecewise polynomial approximation of the function, we summarize the methods with different polynomial degrees. Moreover, we obtain the overheads of gate count for different methods concerning the error bound and grid parameter (number of qubits). This enables us to analytically find a relatively good method as long as the underlying function, the error bound, and the grid parameter…
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Taxonomy
TopicsQuantum chaos and dynamical systems · Quantum many-body systems · Quantum Computing Algorithms and Architecture
