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 Chin. Phys. B, 2021, Vol. 30(2): 020308    DOI: 10.1088/1674-1056/abd741
Special Issue: SPECIAL TOPIC — Quantum computation and quantum simulation
 SPECIAL TOPIC—Quantum computation and quantum simulation Prev   Next

# Quantum algorithm for a set of quantum 2SAT problems

Yanglin Hu(胡杨林)1, Zhelun Zhang(张哲伦)1, and Biao Wu(吴飙)1,2,3,
1 International Center for Quantum Materials, School of Physics, Peking University, Beijing 100871, China; 2 Wilczek Quantum Center, School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, China; 3 Collaborative Innovation Center of Quantum Matter, Beijing 100871, China
Abstract  We present a quantum adiabatic algorithm for a set of quantum 2-satisfiability (Q2SAT) problem, which is a generalization of 2-satisfiability (2SAT) problem. For a Q2SAT problem, we construct the Hamiltonian which is similar to that of a Heisenberg chain. All the solutions of the given Q2SAT problem span the subspace of the degenerate ground states. The Hamiltonian is adiabatically evolved so that the system stays in the degenerate subspace. Our numerical results suggest that the time complexity of our algorithm is O(n3.9) for yielding non-trivial solutions for problems with the number of clauses m=dn(n-1)/2 ($$d\lesssim 0.1$$). We discuss the advantages of our algorithm over the known quantum and classical algorithms.
Keywords:  adiabatic quantum computation      quantum Hamiltonian algorithm      quantum 2SAT problem
Received:  09 September 2020      Revised:  29 October 2020      Accepted manuscript online:  30 December 2020
 PACS: 03.67.Ac (Quantum algorithms, protocols, and simulations) 03.67.Lx (Quantum computation architectures and implementations) 89.70.Eg (Computational complexity)
Fund: Project supported by the National Key R&D Program of China (Grant Nos. 2017YFA0303302 and 2018YFA0305602), the National Natural Science Foundation of China (Grant No. 11921005), and Shanghai Municipal Science and Technology Major Project, China (Grant No. 2019SHZDZX01).
Corresponding Authors:  Corresponding author. E-mail: wubiao@pku.edu.cn