TY - JOUR
T1 - A Perspective on Quantum Computing Applications in Quantum Chemistry Using 25-100 Logical Qubits
AU - Alexeev, Yuri
AU - Batista, Victor
AU - Bauman, Nicholas
AU - Bertels, Luke
AU - Claudino, Daniel
AU - Dutta, Rishab
AU - Gagliardi, Laura
AU - Godwin, Scott
AU - Govind, Niranjan
AU - Head-Gordon, Martin
AU - Hermes, Matthew
AU - Kowalski, Karol
AU - Li, Ang
AU - Liu, Chenxu
AU - Liu, Junyu
AU - Liu, Ping
AU - Garcia-Lastra, Juan
AU - Mejia-Rodriguez, Daniel
AU - Mueller, Karl
AU - Otten, Matthew
AU - Peng, Bo
AU - Raugas, Mark
AU - Reiher, Markus
AU - Rigor, Paul
AU - Shaw, Wendy
AU - van Schilfgaarde, Mark
AU - Vegge, Tejs
AU - Zhang, Yu
AU - Zheng, Muqing
AU - Zhu, Linghua
PY - 2025
Y1 - 2025
N2 - The intersection of quantum computing and quantum chemistry represents a promising frontier for achieving quantum utility in domains of both scientific and societal relevance. Owing to the exponential growth of classical resource requirements for simulating quantum systems, quantum chemistry has long been recognized as a natural candidate for quantum computation. This perspective focuses on identifying scientifically meaningful use cases where early fault-tolerant quantum computers, which are considered to be equipped with approximately 25-100 logical qubits, could deliver tangible impact. While recent advances in classical computing have pushed the boundaries of tractable simulations to unprecedented scales, this logical-qubit regime represents the first window where quantum devices can pursue qualitatively distinct strategies, such as polynomial-scaling phase estimation, direct simulation of quantum dynamics, and active-space embedding, that remain challenging for classical solvers, such as multireference charge-transfer and conical-intersection states central to photochemistry and materials design. We highlight near-term opportunities in algorithm and software design, discuss representative chemical problems suited for quantum acceleration, and propose strategic roadmaps and collaborative pathways for advancing practical quantum utility in quantum chemistry.
AB - The intersection of quantum computing and quantum chemistry represents a promising frontier for achieving quantum utility in domains of both scientific and societal relevance. Owing to the exponential growth of classical resource requirements for simulating quantum systems, quantum chemistry has long been recognized as a natural candidate for quantum computation. This perspective focuses on identifying scientifically meaningful use cases where early fault-tolerant quantum computers, which are considered to be equipped with approximately 25-100 logical qubits, could deliver tangible impact. While recent advances in classical computing have pushed the boundaries of tractable simulations to unprecedented scales, this logical-qubit regime represents the first window where quantum devices can pursue qualitatively distinct strategies, such as polynomial-scaling phase estimation, direct simulation of quantum dynamics, and active-space embedding, that remain challenging for classical solvers, such as multireference charge-transfer and conical-intersection states central to photochemistry and materials design. We highlight near-term opportunities in algorithm and software design, discuss representative chemical problems suited for quantum acceleration, and propose strategic roadmaps and collaborative pathways for advancing practical quantum utility in quantum chemistry.
KW - embedding
KW - quantum chemistry
KW - quantum computing
U2 - 10.1021/acs.jctc.5c01038
DO - 10.1021/acs.jctc.5c01038
M3 - Article
SN - 1549-9618
VL - 21
SP - 11335
EP - 11357
JO - Journal of Chemical Theory and Computation
JF - Journal of Chemical Theory and Computation
IS - 22
ER -