Skip to main navigation Skip to search Skip to main content

Optimizing quantum chemistry simulations with a hybrid quantization scheme

  • Calvin Ku
  • , Yu-Cheng Chen*
  • , Alice Hu*
  • , Min-Hsiu Hsieh*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

1 Downloads (CityUHK Scholars)

Abstract

Complex quantum simulation workflows are often hindered by incompatible wavefunction representations adopted across different algorithmic frameworks. In particular, the mismatch between the first- and second-quantization formalisms prevents algorithms specialized for their respective quantizations from being integrated within a single circuit, thereby forcing practitioners to rely on suboptimal methods simply to maintain a consistent representation. To address this challenge, we propose a hybrid quantization scheme that employs a conversion circuit to switch between the two, requiring O(NlogNlogM) gates for a system of N electrons and M orbitals. This capability is critical for constructing complex quantum simulation workflows, allowing us to use the most efficient quantization for each individual step. We discuss its applications to bring polynomial improvements in the characterization of ground-state, ab-initio molecular dynamics, and characterization of spectroscopic properties. Quantitative estimations of such applications found up to three orders of magnitude fewer ground-state preparations when measuring the 2-reduced density matrix of molecular systems. © The Author(s) 2026.
Original languageEnglish
Article number148
Number of pages12
JournalCommunications Physics
Volume9
Online published12 Mar 2026
DOIs
Publication statusPublished - 2026

Funding

A.H. gratefully acknowledges the sponsorship from City University of Hong Kong (Project No. 7005615, 7006103), CityU Seed Fund in Microelectronics (Project No. 9229135), National Natural Science Foundation of China (NSFC) (Grant No. 62541160274), and Hon Hai Research Institute (Project No. 9231594). This work was carried out using the computational facilities, CityU Burgundy, managed and provided by the Computing Services Centre at City University of Hong Kong (https://www.cityu.edu.hk).

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

Fingerprint

Dive into the research topics of 'Optimizing quantum chemistry simulations with a hybrid quantization scheme'. Together they form a unique fingerprint.

Cite this