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Scientific applications of quantum computing: challenges and opportunities — arXiv:2608.16568

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.16568
License (as archived): CC0-1.0
Archived: 2026-10-19T01:03:02.974Z
SHA-256 of the archived text: 187f7451bef915f6539a8399f4dee8fddc948619635f19b0c8cac8dd111d6b57
Stable URL of this page: https://metraipolis.com/documento/dc_407cdf71bc28

How to cite

Scientific applications of quantum computing: challenges and opportunities — arXiv:2608.16568 — arXiv (en), https://arxiv.org/abs/2608.16568 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_407cdf71bc28 (Metraipolis archive dc_407cdf71bc28, sha256 187f7451bef915f6539a8399f4dee8fddc948619635f19b0c8cac8dd111d6b57)

BibTeX

@misc{dc407cdf71bc28,
  title = {Scientific applications of quantum computing: challenges and opportunities — arXiv:2608.16568},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.16568},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_407cdf71bc28; sha256 187f7451bef915f6539a8399f4dee8fddc948619635f19b0c8cac8dd111d6b57},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.16568. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

The predictive simulation of molecules and materials has had a broad and significant impact. It nevertheless remains constrained by the cost of accurately treating electronic correlation, excited states, and complex energy landscapes. Quantum computing offers a fundamentally different computational paradigm in which quantum states are encoded and manipulated directly rather than approximated on classical hardware. Here we discuss where this approach may provide a genuine scientific advantage in chemistry, materials science, and biochemistry. Promising directions include the high-accuracy treatment of correlated active spaces, improved excited-state simulations, and accelerated exploration of combinatorial structure spaces. The central challenge is therefore not qubit scaling alone, but demonstrably chemically meaningful gains in predictive reliability. We argue that near-term value is most likely to come from disciplined workflow integration rather than wholesale replacement of classical methods. Noisy physical devices, error-mitigated utility experiments, early fault-tolerant devices, and fully fault-tolerant quantum computers offer different scientific prospects, and claims of usefulness must be tied to the specific regime being discussed. 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.

Tema degli esploratori: fisica e astronomia (retro-catalogo arXiv: annunci del 2026-08-18 in quant-ph).
Categorie arXiv: Quantum Physics (quant-ph) ; Materials Science (cond-mat.mtrl-sci); Biological Physics (physics.bio-ph); Chemical Physics (physics.chem-ph).
Pagina del lavoro: https://arxiv.org/abs/2608.16568 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-19T00:29:15.420Z dalla pagina https://arxiv.org/catchup/quant-ph/2026-08-18?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).