Factorization by quantum annealing using superconducting flux qubits implementing a multiplier Hamiltonian
Prime factorization ( P = M × N ) is a promising application for quantum computing. Shor’s algorithm is a key concept for breaking the limit for analyzing P , which cannot be effectively solved by classical computation; however, the algorithm requires error-correctable logical qubits. Here, we d...
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Veröffentlicht in: | Scientific reports 2022-08, Vol.12 (1), p.13669-13669, Article 13669 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Prime factorization (
P
=
M
×
N
) is a promising application for quantum computing. Shor’s algorithm is a key concept for breaking the limit for analyzing
P
, which cannot be effectively solved by classical computation; however, the algorithm requires error-correctable logical qubits. Here, we describe a quantum annealing method for solving prime factorization. A superconducting quantum circuit with native implementation of the multiplier Hamiltonian provides combinations of
M
and
N
as a solution for number
P
after annealing. This circuit is robust and can be expanded easily to scale up the analysis. We present an experimental and theoretical exploration of the multiplier unit. We demonstrate the 2-bit factorization in a circuit simulation and experimentally at 10 mK. We also explain how the current conditions can be used to obtain high success probability and all candidate factorized elements. |
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ISSN: | 2045-2322 2045-2322 |
DOI: | 10.1038/s41598-022-17867-9 |