Quantum isomer search

Autoři: Jason P. Terry aff001;  Prosper D. Akrobotu aff004;  Christian F. A. Negre aff005;  Susan M. Mniszewski aff006
Působiště autorů: Department of Physics and Astronomy, University of Georgia, Athens, Georgia, United States of America aff001;  Data Science Initiative, Brown University, Providence, Rhode Island, United States of America aff002;  Center for Nonlinear Studies (T-CNLS), Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America aff003;  Department of Mathematical Sciences, The University of Texas at Dallas, Richardson, Texas, United States of America aff004;  Physics and Chemistry of Materials (T-1), Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America aff005;  Information Sciences (CCS-3), Computer, Computational and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America aff006
Vyšlo v časopise: PLoS ONE 15(1)
Kategorie: Research Article
doi: https://doi.org/10.1371/journal.pone.0226787


Isomer search or molecule enumeration refers to the problem of finding all the isomers for a given molecule. Many classical search methods have been developed in order to tackle this problem. However, the availability of quantum computing architectures has given us the opportunity to address this problem with new (quantum) techniques. This paper describes a quantum isomer search procedure for determining all the structural isomers of alkanes. We first formulate the structural isomer search problem as a quadratic unconstrained binary optimization (QUBO) problem. The QUBO formulation is for general use on either annealing or gate-based quantum computers. We use the D-Wave quantum annealer to enumerate all structural isomers of all alkanes with fewer carbon atoms (n < 10) than Decane (C10H22). The number of isomer solutions increases with the number of carbon atoms. We find that the sampling time needed to identify all solutions scales linearly with the number of carbon atoms in the alkane. We probe the problem further by employing reverse annealing as well as a perturbed QUBO Hamiltonian and find that the combination of these two methods significantly reduces the number of samples required to find all isomers.

Klíčová slova:

Carbon – Isomers – Qubits – Simulated annealing – Alkanes – Perturbation theory – Quantum computing – Constitutional isomers


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