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Quantum Annealing for Prime Factorization.

ABSTRACT: We have developed a framework to convert an arbitrary integer factorization problem to an executable Ising model by first writing it as an optimization function then transforming the k-bit coupling (k ? 3) terms to quadratic terms using ancillary variables. Our resource-efficient method uses [Formula: see text] binary variables (qubits) for finding the factors of an integer N. We present how to factorize 15, 143, 59989, and 376289 using 4, 12, 59, and 94 logical qubits, respectively. This method was tested using the D-Wave 2000Q for finding an embedding and determining the prime factors for a given composite number. The method is general and could be used to factor larger integers as the number of available qubits increases, or combined with other ad hoc methods to achieve better performances for specific numbers.

SUBMITTER: Jiang S

PROVIDER: S-EPMC6281593 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Quantum Annealing for Prime Factorization.

Jiang Shuxian S Britt Keith A KA McCaskey Alexander J AJ Humble Travis S TS Kais Sabre S

Scientific reports 20181205 1

We have developed a framework to convert an arbitrary integer factorization problem to an executable Ising model by first writing it as an optimization function then transforming the k-bit coupling (k ≥ 3) terms to quadratic terms using ancillary variables. Our resource-efficient method uses [Formula: see text] binary variables (qubits) for finding the factors of an integer N. We present how to factorize 15, 143, 59989, and 376289 using 4, 12, 59, and 94 logical qubits, respectively. This method ...[more]

PMID: 30518780

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