Quantum majority vote

Open Access
Authors
Publication date 01-2023
Host editors
  • Y.T. Kalai
Book title 14th Innovations in Theoretical Computer Science Conference
Book subtitle ITCS 2023, January 10-13, 2023, MIT, Cambridge, Massachusetts, USA
ISBN (electronic)
  • 9783959772631
Series Leibniz International Proceedings in Informatics
Event 14th Innovations in Theoretical Computer Science Conference
Article number 29
Number of pages 1
Publisher Saarbrücken/Wadern: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
  • Faculty of Science (FNWI) - Korteweg-de Vries Institute for Mathematics (KdVI)
  • Faculty of Science (FNWI) - Institute of Physics (IoP)
Abstract
Majority vote is a basic method for amplifying correct outcomes that is widely used in computer science and beyond. While it can amplify the correctness of a quantum device with classical output, the analogous procedure for quantum output is not known. We introduce quantum majority vote as the following task: given a product state |ψ_1⟩ ⊗ … ⊗ |ψ_n⟩ where each qubit is in one of two orthogonal states |ψ⟩ or |ψ^⟂⟩, output the majority state. We show that an optimal algorithm for this problem achieves worst-case fidelity of 1/2 + Θ(1/√n). Under the promise that at least 2/3 of the input qubits are in the majority state, the fidelity increases to 1 - Θ(1/n) and approaches 1 as n increases.We also consider the more general problem of computing any symmetric and equivariant Boolean function f: {0,1}ⁿ → {0,1} in an unknown quantum basis, and show that a generalization of our quantum majority vote algorithm is optimal for this task. The optimal parameters for the generalized algorithm and its worst-case fidelity can be determined by a simple linear program of size O(n). The time complexity of the algorithm is O(n⁴ log n) where n is the number of input qubits.
Document type Conference contribution
Note Full version available on ArXiv
Language English
Published at
Downloads
LIPIcs.ITCS.2023.29 (Final published version)
2211.11729v1 (Other version)
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