Quantum collisional classifier driven by information reservoirs

Ufuk Korkmaz, Deniz Türkpençe

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

We investigate the open dynamics of a probe qubit weakly interacting with distinct qubit environments bearing quantum information. We show that the proposed dissipative model yields a binary classification of the reservoir qubits' quantum information in the steady state in the Bloch qubit parameter space, depending on the coupling rates. To describe the dissipation model dynamics, we have adopted the collision model, in which the input information parameters of the reservoir qubits are easily determined. We develop a generalized classification rule based on the results of the micromaserlike master equation where the classification can be described in terms of the Bloch parameters. Moreover, we show that the proposed classification scheme can also be achieved through quantum parameter estimation. Finally, we demonstrate that the proposed dissipative classification scheme is suitable for gradient descent-based supervised learning tasks.

Original languageEnglish
Article number012432
JournalPhysical Review A
Volume107
Issue number1
DOIs
Publication statusPublished - Jan 2023

Bibliographical note

Publisher Copyright:
© 2023 American Physical Society.

Funding

The authors gratefully thank funding from Turkey's Scientific and Technological Research Council (TÜBİTAK-Grant No. 120F353). The authors would also like to thank the Cognitive Systems Laboratory in the Department of Electrical Engineering for providing a supportive atmosphere for the research.

FundersFunder number
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu120F353

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