Preprint
Aug 2026
Scientific applications of quantum computing: challenges and opportunities
It is argued that near-term value is most likely to come from disciplined workflow integration rather than wholesale replacement of classical methods, and quantum computing will become scientifically valuable when it demonstrably reduces uncertainty in computed energies, rates, spectra, or materials stability after the full costs of state preparation, measurement, error handling, and coupling to classical simulation are included.
Bruno Camino, C. R. A. Catlow, J. Buckeridge et al.
· 0 citations