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From Quantum-Walk-Assisted Optimization to Non-Backtracking Quantum Walks

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

A report of first results on the use of quantum walks in real-life problems. First, an experiment on a quantum computer using quantum walk-assisted QAOA for a graph problem was successful. Next, we defined a non-backtracking quantum walk (NBQW) using a quantum walk on a directed graph. NBQW could have potential applications in network analysis analogous to those of classical non-backtracking random walks. Our first experiments on implementing NBQW on real machines show high noise levels and demonstrate need for more sophisticated methods.
Original languageEnglish
Title of host publicationAnais do <WECIQ|WCQ>: Workshop-Escola de Computação e Informação Quântica e Workshop de Computação Quântica - UFSC
EditorsEduardo Inacio Duzzioni, Demerson Nunes Gonçalves
Number of pages5
Publication statusPublished - 30 Mar 2026
MoE publication typeA4 Article in a conference publication
EventVIII Workshop-Escola de Computação e Informação Quântica e Workshop de Computação Quântica - UFSC - Florianópolis, Brazil
Duration: 8 Dec 202512 Mar 2026
https://workshop-cq.ufsc.br/2025/

Conference

ConferenceVIII Workshop-Escola de Computação e Informação Quântica e Workshop de Computação Quântica - UFSC
Abbreviated title⟨WECIQ∣WCQ⟩
Country/TerritoryBrazil
CityFlorianópolis
Period8/12/2512/03/26
Internet address

Keywords

  • Quantum Walks
  • Non-backtracking walk
  • Quantum circuits
  • Quantum walk assisted QAOA

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