Dynamic and static electronic correlation represent different quantum mechanical phenomena
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A peer-reviewed study in quantum chemistry distinguishes static correlation and dynamic correlation as two distinct components of electronic correlation requiring different computational treatments.
While the treatment of chemically relevant systems containing hundreds or even thousands of electrons remains beyond the reach of quantum devices, the development of quantum-classical hybrid algorithms to resolve electronic correlation presents a promising pathway toward a quantum advantage in the computation of molecular electronic structure. Such hybrid algorithms treat the exponentially scaling part of the calculation -- the static (multireference) correlation -- on the quantum computer and the non-exponentially scaling part -- the dynamic correlation -- on the classical computer. While a variety of such algorithms have been proposed, due to the dependence on the wave function of most classical methods for dynamic correlation, the development of easy-to-use classical post-processing implementations has been limited. Here we present a novel hybrid-classical algorithm that computes a molecule's all-electron energy and properties on the classical computer from a critically important simulation of the static correlation on the quantum computer. Significantly, for the all-electron calculations we circumvent the wave function by using density-matrix methods that only require input of the statically correlated two-electron reduced density matrix (2-RDM), which can be efficiently measured in the quantum simulation. Although the algorithm is completely general, we test it with two classical 2-RDM methods, the anti-Hermitian contracted Schrödinger equation (ACSE) theory and multicon
Quantum-Classical Hybrid Algorithm for the
Simulation of All-Electron Correlation
Jan-Niklas Boyn, Aleksandr O. Lykhin, Scott E. Smart, Laura Gagliardi, ∗ and
David A. Mazziotti∗
Department of Chemistry and The James Franck Institute, The University of Chicago, Chicago,
IL 60637
E-mail: lgagliardi@uchicago.edu; damazz@uchicago.edu
Abstract
While the treatment of chemically relevant systems containing hundreds or even thou-
sands of electrons remains beyond the reach of quantum devices, the development of quantum-
classical hybrid algorithms to resolve electronic correlation presents a promising pathway to-
ward a quantum advantage in the computation of molecular electronic structure. Such hybrid
algorithms treat the exponentially scaling part of the calculation—the static (multireference)
correlation—on the quantum computer and the non-exponentially scaling part—the dynamic
correlation—on the classical computer. While a variety of such algorithms have been pro-
posed, due to the dependence on the wave function of most classical methods for dynamic cor-
relation, the development of easy-to-use classical post-processing implementations has been
limited. Here we present a novel hybrid-classical algorithm that computes a molecule’s all-
electron energy and properties on the classical computer from a critically important simulation
of the static correlation on the quantum computer. Significantly, for the all-electron calcula-
tions we circumvent the wave function by using density-matrix methods that only require input
of the statically correlated two-electron reduced density matrix (2-RDM), which can be effi-
ciently measured in the quantum simulation. Although the algorithm is completely general, we
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arXiv:2106.11972v1 [quant-ph] 22 Jun 2021
methods to generate a system-wide correlated 2-RDM, spanning all of the electrons and orbitals
in the calculation. Importantly, the correlated 2-RDM recovers the all-electron correlation en-
ergy and properties of a molecule, thereby enabling larger basis sets and realistic comparisons
with experimental results. While other hybrid algorithms use a “perturb-then-diagnalonize” strat-
egy to add some dynamic correlation to the Hamiltonian before simulation, most algorithms have
avoided the conventional “diagonalize-then-perturb” strategy because of the wave function bottle-
neck.2,3,10,12–19 Although the algorithm is completely general for any 2-RDM-like methods, we
test it here with two classical correlation methods: ( i) the anti-Hermitian contracted Schrödinger
equation (ACSE) theory in which total correlation is computed from a functional of the 2-RDM
that is seeded with the statically correlated
(47) Mazziotti, D. A. Multireference many-electron correlation energies from two-electron re-
duced density matrices computed by solving the anti-Hermitian contracted Schrödinger equa-
tion. Phys. Rev. A 2007, 76, 052502.
(48) Snyder, J. W.; Mazziotti, D. A. Conical Intersection of the Ground and First Excited States
of Water: Energies and Reduced Density Matrices from the Anti-Hermitian Contracted
Schrödinger Equation. J. Phys. Chem. A 2011, 115, 14120–14126.
(49) Snyder, J. W.; Mazziotti, D. A. Photoexcited conversion of gauche-1,3-butadiene to bicy-
clobutane via a conical intersection: Energies and reduced density matrices from the anti-
Hermitian contracted Schrödinger equation. J. Chem. Phys. 2011, 135, 024107.
(50) Smart, S. E.; Scrape, P. G.; Butler, L. J.; Mazziotti, D. A. Using reduced density matrix
techniques to capture static and dynamic correlation in the energy landscape for the decom-
position of the CH2CH2ONO radical and support a non-IRC pathway. J. Chem. Phys. 2018,
149, 024302.
(51) Gidofalvi, G.; Mazziotti, D. A. Direct calculation of excited-state electronic energies and two-
electron reduced density matrices from the anti-Hermitian contracted Schrödinger equation.
Phys. Rev. A 2009, 80, 022507.
(52) Sturm, E. J.; Mazziotti, D. A. Highly accurate excited-state energies from direct computa-
tion of the 2-electron reduced density matrix by the anti-Hermitian contracted Schrödinger
equation. Mol. Phys. 2016, 114, 335–343.
(53) Bonet-Monroig, X.; Babbush, R.; O’Brien, T. E. Nearly Optimal Measurement Scheduling
for Partial Tomography of Quantum States. Phys. Rev. X 2020, 10, 031064.
(54) Smart, S. E.; Mazziotti, D. A. Lowering tomography costs in quantum simulation with a
symmetry projected operator basis. Phys. Rev. A 2021, 103, 012420.
(55) IBM Quantum. 2020.
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