Papers › Quantum Chemistry in the Age of Quantum Computing

Quantum Chemistry in the Age of Quantum Computing

24 Dec 2018arXiv:1812.09976links table onlyarchive 2025-07-28

Yudong Cao, Jonathan Romero, Jonathan P. Olson, Matthias Degroote, Peter D. Johnson, Mária Kieferová, Ian D. Kivlichan, Tim Menke, Borja Peropadre, Nicolas P. D. Sawaya, Sukin Sim, Libor Veis, Alán Aspuru-Guzik

The archive published only this paper's code-link row. Authors, date and abstract are from arXiv's metadata (CC0), read from the Kaggle arXiv metadata snapshot of 2026-09-12 where its title matched the archive's; the title is the archive's.

Practical challenges in simulating quantum systems on classical computers have been widely recognized in the quantum physics and quantum chemistry communities over the past century. Although many approximation methods have been introduced, the complexity of quantum mechanics remains hard to appease. The advent of quantum computation brings new pathways to navigate this challenging complexity landscape. By manipulating quantum states of matter and taking advantage of their unique features such as superposition and entanglement, quantum computers promise to efficiently deliver accurate results for many important problems in quantum chemistry such as the electronic structure of molecules. In the past two decades significant advances have been made in developing algorithms and physical hardware for quantum computing, heralding a revolution in simulation of quantum systems. This article is an overview of the algorithms and results that are relevant for quantum chemistry. The intended audience is both quantum chemists who seek to learn more about quantum computing, and quantum computing researchers who would like to explore applications in quantum chemistry.

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CDL-Quantum/CohortProject_2020 mentioned on GitHubpytorchMIT report
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MelkoCollective/CDL_2020 mentioned on GitHubpytorchMIT report
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shukob/CohortProject_2020_2 mentioned on GitHubpytorchMIT report

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Vij CDL-Quantum/CohortProject_2020/Project_1_RBM_and_Tomography/Rydberg_energy_calculator.py community (archive-listed) unverified MIT (permissive) · 1a49a28ac561531e · report
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energy CDL-Quantum/CohortProject_2020/Project_1_RBM_and_Tomography/Rydberg_energy_calculator.py community (archive-listed) unverified MIT (permissive) · 3044b46a01b62f57 · report
energy_from_freq CDL-Quantum/CohortProject_2020/Project_1_RBM_and_Tomography/H2_energy_calculator.py community (archive-listed) unverified MIT (permissive) · 26b42ad216a1d9d4 · report
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