Atom cavity encoding for NP-complete problems

被引:0
|
作者
Meng Ye [1 ]
Xiaopeng Li [2 ]
机构
[1] Fudan University,State Key Laboratory of Surface Physics, and Department of Physics
[2] AI Tower,Shanghai Qi Zhi Institute
[3] Hefei National Laboratory,undefined
[4] Shanghai Artificial Intelligence Laboratory,undefined
[5] Shanghai Research Center for Quantum Sciences,undefined
来源
Quantum Frontiers | / 3卷 / 1期
关键词
Combinatorial optimization; Quantum computation; Cold atoms; Cavity; Quantum simulations;
D O I
10.1007/s44214-024-00069-x
中图分类号
学科分类号
摘要
We consider an atom-cavity system having long-range atomic interactions mediated by cavity modes. It has been shown that quantum simulations of spin models with this system can naturally be used to solve number partition problems. Here, we present encoding schemes for numerous nondeterministic polynomial-time complete (NP-complete) problems, encompassing the majority of Karp’s 21 NP-complete problems. We find a number of such computation problems can be encoded by the atom-cavity system at a linear cost of atom number. There are still certain problems that cannot be encoded by the atom-cavity as efficiently, such as quadratic unconstrained binary optimization (QUBO), and the Hamiltonian cycle. For these problems, we provide encoding schemes with a quadratic or quartic cost in the atom number. We expect this work to provide important guidance to search for the practical quantum advantage of the atom-cavity system in solving NP-complete problems. Moreover, the encoding schemes we develop here may also be adopted in other optical systems for solving NP-complete problems, where a similar form of Mattis-type spin glass Hamiltonian as in the atom-cavity system can be implemented.
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