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Superconducting Qubits Quantum Machine Learning

Design of Quantum Annealing Machine for Prime Factoring

arXiv
Authors: M. Maezawa, K. Imafuku, M. Hidaka, H. Koike, S. Kawabata

Year

2017

Paper ID

24482

Status

Preprint

Abstract Read

~2 min

Abstract Words

84

Citations

N/A

Abstract

We propose a prime factoring machine operated in a frame work of quantum annealing (QA). The idea is inverse operation of a quantum-mechanically reversible multiplier implemented with QA-based Boolean logic circuits. We designed the QA machine on an application-specific-annealing-computing architecture which efficiently increases available hardware budgets at the cost of restricted functionality. The circuits are to be implemented and fabricated by using superconducting integrated circuit technology. We propose a three-dimensional packaging scheme of a qubit-chip / interposer / package-substrate structure for realizing practically-large scale QA systems.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2017 reference point for readers tracking recent quantum research.
  • We propose a prime factoring machine operated in a frame work of quantum annealing (QA).

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References & Citation Signals

[1] DOI https://doi.org/arXiv:1712.05561 [2] arXiv https://arxiv.org/abs/1712.05561 [3] Publisher https://arxiv.org/abs/1712.05561

Local Citation Graph (Related-Paper Links)

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