Quantum Advantage in Cryptography with a Low-Connectivity Quantum Annealer

Feng Hu, Lucas Lamata, Chao Wang, Xi Chen, Enrique Solano, and Mikel Sanz
Phys. Rev. Applied 13, 054062 – Published 26 May 2020

Abstract

The application in cryptography of quantum algorithms for prime factorization fostered the interest in quantum computing. However, quantum computers, and particularly quantum annealers, can also be helpful to construct secure cryptographic keys. Indeed, finding robust Boolean functions for cryptography is an important problem in sequence ciphers, block ciphers, and hash functions, among others. Due to the superexponential size O(22n) of the associated space, finding n-variable Boolean functions with global cryptographic constraints is computationally hard. This problem has already been addressed employing generic low-connected incoherent D-Wave quantum annealers. However, the limited connectivity of the Chimera graph, together with the exponential growth in the complexity of the Boolean-function design problem, limit the problem scalability. Here, we propose a special-purpose coherent quantum-annealing architecture with three couplers per qubit, designed to optimally encode the bent-function design problem. A coherent quantum annealer with this tree-type architecture has the potential to solve the eight-variable bent-function design problem, which is classically unsolved, with only 127 physical qubits and 126 couplers. This paves the way to reach useful quantum supremacy within the framework of quantum annealing for cryptographic purposes.

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  • Received 19 August 2019
  • Revised 5 February 2020
  • Accepted 6 April 2020

DOI:https://doi.org/10.1103/PhysRevApplied.13.054062

© 2020 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Feng Hu1,2,*, Lucas Lamata2,3, Chao Wang1, Xi Chen2,4, Enrique Solano2,4,5,6, and Mikel Sanz2,†

  • 1Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai 200444, China
  • 2Department of Physical Chemistry, University of the Basque Country UPV/EHU, Apartado 644, 48080 Bilbao, Spain
  • 3Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, Sevilla 41080, Spain
  • 4International Center of Quantum Artificial Intelligence for Science and Technology (QuArtist) and Department of Physics, Shanghai University, Shanghai 200444, China
  • 5IKERBASQUE, Basque Foundation for Science, María Díaz de Haro 3, Bilbao, 48013, Spain
  • 6IQM, Munich, Germany

  • *f.hu.121214@gmail.com
  • mikel.sanz@ehu.eus

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Issue

Vol. 13, Iss. 5 — May 2020

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