Atom cavity encoding for NP-complete problems

Abstract 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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Publication Details

Journal
Quantum Frontiers
Published
2024-11-28
DOI
https://doi.org/10.1007/s44214-024-00069-x
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.35

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article

Atom cavity encoding for NP-complete problems

Xiaopeng Li, Meng Ye
1 citations
Quantum Frontiers
Quantum Computing Algorithms and Architecture
0.35
article

Atom cavity encoding for NP-complete problems

Xiaopeng Li, Meng Ye
article en
1 citations

Abstract

Abstract 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.

Quantum FrontiersVol. 3(1)
Fudan University (CN), Hefei University (CN), Beijing Academy of Artificial Intelligence (CN), ShangHai JiAi Genetics & IVF Institute (CN), Shanghai Artificial Intelligence Laboratory (CN), State Key Laboratory of Surface Physics
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 31%
Quantum Computing Algorithms and Architecture
0.35
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