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The idea to use quantum mechanical devices to simulate other quantum systems is commonly ascribed to Feynman.
Quantum measurements and the abelian stabilizer problem
Kitaev, A. Y · 1995
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Iron-sulfur clusters: nature’s modular, multipurpose structures
Beinert, H., Holm, R. H. & Münck, E · 1997
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Nobel lecture: Electronic structure of matter—wave functions and density functionals
Kohn, W · 1999
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Ab initio quantum chemistry using the density matrix renormalization group
White, S. R. & Martin, R. L · 1999
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Quantum computation by adiabatic evolution
Farhi, E., Goldstone, J., Gutmann, S. & Sipser, M · 2000
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Adiabatic quantum search algorithm for structured problems
Roland, J. & Cerf, N. J · 2003
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State-of-the-art density matrix renormalization group and coupled cluster theory studies of the nitrogen binding curve
Chan, G. K.-L., Kállay, M. & Gauss, J · 2004
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Simulated quantum computation of molecular energies
Aspuru-Guzik, A., Dutoi, A. D., Love, P. J. & Head-Gordon, M · 2005
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The complexity of the local hamiltonian problem
Kempe, J., Kitaev, A. & Regev, O · 2006
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The density matrix renormalization group in quantum chemistry
Chan, G. K.-L. & Sharma, S · 2011
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Low entanglement wavefunctions
Chan, G. K.-L · 2012
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The nonheme iron in photosystem II
Müh, F. & Zouni, A · 2013
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Efficient tree tensor network states (ttns) for quantum chemistry: Generalizations of the density matrix renormalization group algorithm
Nakatani, N. & Chan, G. K.-L · 2013
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Exploiting locality in quantum computation for quantum chemistry
McClean, J. R., Babbush, R., Love, P. J. & Aspuru-Guzik, A · 2014
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Adiabatic state preparation study of methylene
Veis, L. & Pittner, J · 2014
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Low-energy spectrum of iron–sulfur clusters directly from many-particle quantum mechanics
Sharma, S., Sivalingam, K., Neese, F. & Chan, G. K.-L · 2014
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Molecular electronic-structure theory (John Wiley & Sons, 2014)
Helgaker, T., Jorgensen, P. & Olsen, J · 2014
Cited alongside, same era.
Ab initio determination of the crystalline benzene lattice energy to sub-kilojoule/mole accuracy
Yang, J. et al · 2014
Cited alongside, same era.
Scalable quantum simulation of molecular energies
O’Malley, P. J. et al · 2016
Cited alongside, same era.
Sparse maps—A systematic infrastructure for reduced-scaling electronic structure methods. II. Linear scaling domain based pair natural orbital coupled cluster theory
Riplinger, C., Pinski, P., Becker, U., Valeev, E. F. & Neese, F · 2016
Cited alongside, same era.
Elucidating reaction mechanisms on quantum computers
Reiher, M., Wiebe, N., Svore, K. M., Wecker, D. & Troyer, M · 2017
Cited alongside, same era.
Physisorption of water on graphene: Subchemical accuracy from many-body electronic structure methods
Brandenburg, J. G. et al · 2019
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Quantum algorithms for quantum chemistry and quantum materials science
Bauer, B., Bravyi, S., Motta, M. & Chan, G. K.-L · 2020
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Quantum computational chemistry
McArdle, S., Endo, S., Aspuru-Guzik, A., Benjamin, S. C. & Yuan, X · 2020
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Quantum computational advantage using photons
Zhong, H.-S. et al · 2020
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The density matrix renormalization group in chemistry and molecular physics: Recent developments and new challenges
Baiardi, A. & Reiher, M · 2020
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Explicitly correlated coupled cluster method for accurate treatment of open-shell molecules with hundreds of atoms
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Motta, M. et al · 2017
Cited alongside, same era.
Stripe order in the underdoped region of the two-dimensional hubbard model
Zheng, B.-X. et al · 2017
Cited alongside, same era.
Using higher-order singular value decomposition to define weakly coupled and strongly correlated clusters: The n-body tucker approximation
Mayhall, N. J · 2017
Cited alongside, same era.
Adiabatic quantum computation
Albash, T. & Lidar, D. A · 2018
Cited alongside, same era.
Quantum chemistry in the age of quantum computing
Cao, Y. et al · 2019
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Quantum supremacy using a programmable superconducting processor
Arute, F. et al · 2019
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Quantum phase estimation of multiple eigenvalues for small-scale (noisy) experiments
O’Brien, T. E., Tarasinski, B. & Terhal, B. M · 2019
Cited alongside, same era.
Kumar, A., Neese, F. & Valeev, E. F · 2020
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Direct comparison of many-body methods for realistic electronic hamiltonians
Williams, K. T. et al · 2020
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Absence of superconductivity in the pure two-dimensional hubbard model
Qin, M. et al · 2020
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Strong quantum computational advantage using a superconducting quantum processor
Wu, Y. et al · 2021
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Heisenberg-limited ground state energy estimation for early fault-tolerant quantum computers
Lin, L. & Tong, Y · 2021
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Systematic electronic structure in the cuprate parent state from quantum many-body simulations
Cui, Z.-H., Zhai, H., Zhang, X. & Chan, G. K · 2021
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Arovas, D. P., Berg, E., Kivelson, S. & Raghu, S · 2021
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Gharibian, S. & Gall, F. L · 2021
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Computational advantage of quantum random sampling
Hangleiter, D. & Eisert, J · 2022
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Cade, C., Folkertsma, M. & Weggemans, J · 2022
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