Yuri Alexeev, Víctor S. Batista, Nicholas P. Bauman, Luke W. Bertels, Daniel Claudino, Rishab Dutta, Laura Gagliardi, Scott Godwin, Niranjan Govind, Martin Head‐Gordon, Matthew R. Hermes, Karol Kowalski, Ang Li, Chenxu Liu, Junyu Liu, Ping Liu, J. M. Garcı́a-Lastra, Daniel Mejı́a-Rodrı́guez, Karl T. Mueller, Matthew Otten, Bo Peng, Mark Raugas, Markus Reiher, Paul Rigor, Wendy J. Shaw, Mark van Schilfgaarde, Tejs Vegge, Yu Zhang, Muqing Zheng, Linghua Zhu
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.