Utility-Scale Quantum Computational Chemistry

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Authors: Davide Castaldo, Markus Reiher
Cited by: 1
References: 183

Abstract

Chemistry and materials science are widely regarded as leading application fields for quantum hardware. While the dream of unlocking unprecedented simulation capabilities remains compelling, quantum algorithm development must adapt to the evolving constraints of the emerging quantum hardware in order to accomplish any advantage for the computational chemistry practice. At the same time, the continuous advancement of classical wavefunction-theory methods narrows the window for a broad quantum advantage. Here, we explore potential benefits of quantum computation from the broader perspective of utility-scale applications. We argue that quantum algorithms need not only enable accurate calculations for a few challenging, that is, strongly correlated, molecular structures, which might be hard to describe with traditional methods. Instead, they must also support the practical integration of quantum-accelerated computations into high-throughput pipelines for routine calculations on arbitrary molecules, ultimately delivering a tangible value to society.

Fields of Study & Subjects

Quantum Computing Algorithms and Architecture Machine Learning in Materials Science Spectroscopy and Quantum Chemical Studies

Publication details

Journal / source
The Journal of Physical Chemistry Letters
Publisher
American Chemical Society (ACS)
Volume
17
Issue
29
Pages
8140–8155
Publication date
13 July 2026
Language
EN