Quantum routing of information using chiral quantum walks

Year: 2023

Authors: Bottarelli A., Frigerio M., Paris MGA.

Autors Affiliation: Univ Trento, Pitaevskii BEC Ctr, CNR INO, I-38123 Trento, Italy; Univ Trento, Dipartimento Fis, I-38123 Trento, Italy; Trento Inst Fundamental Phys & Applicat, INFN TIFPA, Trento, Italy; Univ Milan, Dept Phys A Pontremoli, Quantum Technol Lab, I-20133 Milan, Italy; Univ Milan, Dept Phys A Pontremoli, Quantum Mech Grp, I-20133 Milan, Italy; Ist Nazl Fis Nucl, Sez Milano, I-20133 Milan, Italy.

Abstract: We address routing of classical and quantum information over quantum network and show how to exploit chirality (directionality) to achieve nearly optimal and robust transport. In particular, we prove how continuous-time chiral quantum walks over a minimal graph are able to model directional transfer of information over a network. At first, we show how classical information, encoded onto an excitation localized at one vertex of a simple graph, may be sent to any other chosen location with nearly unit fidelity by tuning a single phase. Then, we prove that high-fidelity transport is also possible for coherent superpositions of states, i.e., for routing of quantum information. Furthermore, we show that by tuning the phase parameter, one obtains universal quantum routing, i.e., independent on the input state. In our scheme, chirality is governed by a single phase, and the routing probability is robust against fluctuations of this parameter. Finally, we address characterization of quantum routers and show how to exploit the self-energies of the graph to achieve high precision in estimating the phase parameter.

Journal/Review: AVS QUANTUM SCIENCE

Volume: 5 (2)      Pages from: 25001-1  to: 25001-8

More Information: This work was performed under the auspices of GNFM-INdAM. M.G.A.P. thanks Claudia Benedetti, Alessandro Candeloro, and Emilio Annoni for useful discussions.
KeyWords: Transport; Complex; Search; Graphs; State
DOI: 10.1116/5.0146805

Citations: 4
data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2024-11-17
References taken from IsiWeb of Knowledge: (subscribers only)
Connecting to view paper tab on IsiWeb: Click here
Connecting to view citations from IsiWeb: Click here