Refining resource estimation for the quantum computation of vibrational molecular spectra through Trotter error analysis

IF 5.1 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Quantum Pub Date : 2025-02-11 DOI:10.22331/q-2025-02-11-1630
Dimitar Trenev, Pauline J Ollitrault, Stuart M. Harwood, Tanvi P. Gujarati, Sumathy Raman, Antonio Mezzacapo, Sarah Mostame
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Abstract

Accurate simulations of vibrational molecular spectra are expensive on conventional computers. Compared to the electronic structure problem, the vibrational structure problem with quantum computers is less investigated. In this work we accurately estimate quantum resources, such as number of logical qubits and quantum gates, required for vibrational structure calculations on a programmable quantum computer. Our approach is based on quantum phase estimation and focuses on fault-tolerant quantum devices. In addition to asymptotic estimates for generic chemical compounds, we present a more detailed analysis of the quantum resources needed for the simulation of the Hamiltonian arising in the vibrational structure calculation of acetylene-like polyynes of interest. Leveraging nested commutators, we provide an in-depth quantitative analysis of trotter errors compared to the prior investigations. Ultimately, this work serves as a guide for analyzing the potential quantum advantage within vibrational structure simulations.
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通过Trotter误差分析,改进了振动分子光谱量子计算的资源估计
在传统计算机上精确模拟振动分子光谱是昂贵的。与电子结构问题相比,量子计算机的振动结构问题研究较少。在这项工作中,我们准确地估计了在可编程量子计算机上进行振动结构计算所需的量子资源,如逻辑量子比特和量子门的数量。我们的方法是基于量子相位估计和专注于容错量子器件。除了一般化合物的渐近估计外,我们还提供了更详细的量子资源分析,用于模拟在感兴趣的乙炔类多炔的振动结构计算中产生的哈密顿量。利用嵌套换向器,与之前的调查相比,我们提供了对跑动误差的深入定量分析。最终,这项工作为分析振动结构模拟中潜在的量子优势提供了指导。
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来源期刊
Quantum
Quantum Physics and Astronomy-Physics and Astronomy (miscellaneous)
CiteScore
9.20
自引率
10.90%
发文量
241
审稿时长
16 weeks
期刊介绍: Quantum is an open-access peer-reviewed journal for quantum science and related fields. Quantum is non-profit and community-run: an effort by researchers and for researchers to make science more open and publishing more transparent and efficient.
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