期刊
CHINESE PHYSICS B
卷 30, 期 2, 页码 -出版社
IOP PUBLISHING LTD
DOI: 10.1088/1674-1056/abd741
关键词
adiabatic quantum computation; quantum Hamiltonian algorithm; quantum 2SAT problem
资金
- National Key R&D Program of China [2017YFA0303302, 2018YFA0305602]
- National Natural Science Foundation of China [11921005]
- Shanghai Municipal Science and Technology Major Project, China [2019SHZDZX01]
The study introduces a quantum adiabatic algorithm for solving Q2SAT problems by constructing a Hamiltonian similar to a Heisenberg chain, evolving the system to stay in the degenerate subspace, and obtaining non-trivial solutions. Numerical results suggest a time complexity of O(n^(3.9)), and advantages over known quantum and classical algorithms are discussed.
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(n(3.9)) for yielding non-trivial solutions for problems with the number of clauses m = dn(n - 1)/2 (d less than or similar to 0.1). We discuss the advantages of our algorithm over the known quantum and classical algorithms.
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