Cyclic quantum walks: Photonic realization and decoherence analysis

F. Nejadsattari, Y. Zhang, M. N. Jayakody, F. Bouchard, H. Larocque, A. Sit, R. Fickler, E. Cohen, E. Karimi

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


Quantum walks serve as novel tools for performing efficient quantum computation and simulation. In a recent experimental demonstration [1] we have realized photonic quantum walks for simulating cyclic quantum systems, such as hexagonal lattices or aromatic molecules like benzene. In that experiment we explored the wave function dynamics and the probability distribution of a quantum particle located on a six-site system (with periodic boundary conditions), alongside with simpler demonstration of three- and four-site systems, under various initial conditions. Localization and revival of the wave function were demonstrated. After revisiting that experiment we will theoretically analyze the case of noisy quantum walks by implementing the bit-phase flip channel. This will allow us to draw conclusions regarding the performance of our photonic quantum simulation in noisy environments. Finally, we will briefly outline some future directions.

Original languageEnglish
Title of host publicationAdvanced Optical Techniques for Quantum Information, Sensing, and Metrology
EditorsPhilip R. Hemmer, Alan L. Migdall, Zameer Ul Hasan
ISBN (Electronic)9781510633537
StatePublished - 2020
EventAdvanced Optical Techniques for Quantum Information, Sensing, and Metrology 2020 - San Francisco, United States
Duration: 4 Feb 20205 Feb 2020

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering


ConferenceAdvanced Optical Techniques for Quantum Information, Sensing, and Metrology 2020
Country/TerritoryUnited States
CitySan Francisco


  • Decoherence
  • Photonic quantum walks
  • Quantum simulation

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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