Concrete quantum cryptanalysis of binary elliptic curves

Gustavo Souza Banegas, Daniel J. Bernstein, Iggy van Hoof, Tanja Lange

Research output: Contribution to journalArticleAcademicpeer-review

34 Citations (Scopus)

Abstract

This paper analyzes and optimizes quantum circuits for computing discrete logarithms on binary elliptic curves, including reversible circuits for fixed-base-point scalar multiplication and the full stack of relevant subroutines. The main optimization target is the size of the quantum computer, i.e., the number of logical qubits required, as this appears to be the main obstacle to implementing Shor’s polynomial-time discrete-logarithm algorithm. The secondary optimization target is the number of logical Toffoli gates. For an elliptic curve over a field of 2n elements, this paper reduces the number of qubits to 7n + ⌊log2(n)⌋ + 9. At the same time this paper reduces the number of Toffoli gates to 48n3 + 8nlog2(3)+1 + 352n2 log2(n) + 512n2 + O(nlog2(3)) with double-and-add scalar multiplication, and a logarithmic factor smaller with fixed-window scalar multiplication. The number of CNOT gates is also O(n3). Exact gate counts are given for various sizes of elliptic curves currently used for cryptography.
Original languageEnglish
Pages (from-to)451-472
Number of pages22
JournalIACR Transactions on Cryptographic Hardware and Embedded Systems
Volume2021
Issue number1
DOIs
Publication statusPublished - 2021

Keywords

  • Elliptic curves
  • Quantum cryptanalysis
  • Quantum gates
  • Quantum resource estimation
  • Shor’s algorithm

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