A thermal quantum classifier

Ufuk Korkmaz, Deniz Türkpençe*, Tahir Çetin Akinci, Serhat Şeker

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


We find that the additivity of quantum information channels enables one to introduce a quantum classifier or a quantum decision maker. Proper measurement and sensing of temperature are of central importance to the realization of nanoscale quantum devices. Minimal classifiers may constitute the basic units for the physical quantum neural networks. We introduce a binary temperature classifier quantum model that operates in a thermal environment. In the present study, first the mathematical model was introduced through a two-level quantum system weakly coupled to the thermal reservoirs and it was demonstrated that the model faithfully classifies the temperature information of the reservoirs in the thermal steady state limit. A physical model by superconducting circuits composed of transmon qubits was also suggested.

Original languageEnglish
Pages (from-to)969-986
Number of pages18
JournalQuantum Information and Computation
Issue number11-12
Publication statusPublished - 2020

Bibliographical note

Publisher Copyright:
© Rinton Press.


  • Open quantum systems
  • Quantum classifier
  • Quantum neural network
  • Quantum thermalization


Dive into the research topics of 'A thermal quantum classifier'. Together they form a unique fingerprint.

Cite this