Literature DB >> 30427679

Qubit Coupled Cluster Method: A Systematic Approach to Quantum Chemistry on a Quantum Computer.

Ilya G Ryabinkin1, Tzu-Ching Yen1, Scott N Genin2, Artur F Izmaylov1,3.   

Abstract

A unitary coupled cluster (UCC) form for the wave function in the variational quantum eigensolver has been suggested as a systematic way to go beyond the mean-field approximation and include electron correlation in solving quantum chemistry problems on a quantum computer. Although being exact in the limit of including all possible coupled cluster excitations, practically, the accuracy of this approach depends on the number and type of terms are included in the wave function parametrization. Another difficulty of UCC is a growth of the number of simultaneously entangled qubits even at the fixed Fermionic excitation rank. Not all quantum computing architectures can cope with this growth. To address both problems, we introduce a qubit coupled cluster (QCC) method that starts directly in the qubit space and uses energy response estimates for ranking the importance of individual entanglers for the variational energy minimization. Also, we provide an exact factorization of a unitary rotation of more than two qubits to a product of two-qubit unitary rotations. Thus, the QCC method with the factorization technique can be limited to only two-qubit entanglement gates and allows for very efficient use of quantum resources in terms of the number of coupled cluster operators. The method performance is illustrated by calculating ground-state potential energy curves of H2 and LiH molecules with chemical accuracy, ≤1 kcal/mol, and a symmetric water dissociation curve.

Entities:  

Year:  2018        PMID: 30427679     DOI: 10.1021/acs.jctc.8b00932

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  7 in total

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Authors:  Kyle Sherbert; Anooja Jayaraj; Marco Buongiorno Nardelli
Journal:  Sci Rep       Date:  2022-06-14       Impact factor: 4.996

2.  An adaptive variational algorithm for exact molecular simulations on a quantum computer.

Authors:  Harper R Grimsley; Sophia E Economou; Edwin Barnes; Nicholas J Mayhall
Journal:  Nat Commun       Date:  2019-07-08       Impact factor: 14.919

3.  Unbiasing fermionic quantum Monte Carlo with a quantum computer.

Authors:  William J Huggins; Bryan A O'Gorman; Nicholas C Rubin; David R Reichman; Ryan Babbush; Joonho Lee
Journal:  Nature       Date:  2022-03-16       Impact factor: 69.504

4.  A systematic variational approach to band theory in a quantum computer.

Authors:  Kyle Sherbert; Frank Cerasoli; Marco Buongiorno Nardelli
Journal:  RSC Adv       Date:  2021-12-10       Impact factor: 3.361

5.  Toward practical quantum embedding simulation of realistic chemical systems on near-term quantum computers.

Authors:  Weitang Li; Zigeng Huang; Changsu Cao; Yifei Huang; Zhigang Shuai; Xiaoming Sun; Jinzhao Sun; Xiao Yuan; Dingshun Lv
Journal:  Chem Sci       Date:  2022-07-11       Impact factor: 9.969

6.  Accelerated Convergence of Contracted Quantum Eigensolvers through a Quasi-Second-Order, Locally Parameterized Optimization.

Authors:  Scott E Smart; David A Mazziotti
Journal:  J Chem Theory Comput       Date:  2022-09-01       Impact factor: 6.578

7.  A quantum algorithm for spin chemistry: a Bayesian exchange coupling parameter calculator with broken-symmetry wave functions.

Authors:  Kenji Sugisaki; Kazuo Toyota; Kazunobu Sato; Daisuke Shiomi; Takeji Takui
Journal:  Chem Sci       Date:  2020-12-24       Impact factor: 9.825

  7 in total

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