Engineering Four-Qubit Fuel States for Protecting Quantum Thermalization Machine from Decoherence


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Ozaydin F., Sarkar R., Bayrakci V., Bayındır C., ALTINTAŞ A. A., Müstecaplıoğlu Ö. E.

Information (Switzerland), vol.15, no.1, 2024 (ESCI) identifier

  • Publication Type: Article / Article
  • Volume: 15 Issue: 1
  • Publication Date: 2024
  • Doi Number: 10.3390/info15010035
  • Journal Name: Information (Switzerland)
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, Academic Search Premier, Aerospace Database, Communication Abstracts, Compendex, INSPEC, Library, Information Science & Technology Abstracts (LISTA), Metadex, Directory of Open Access Journals, Civil Engineering Abstracts
  • Keywords: coherence, Dicke states, entanglement, quantum heat engines, quantum thermalization machine, master, cavity-QED, quantum thermodynamics, W states
  • Istanbul Technical University Affiliated: Yes

Abstract

Decoherence is a major issue in quantum information processing, degrading the performance of tasks or even precluding them. Quantum error-correcting codes, creating decoherence-free subspaces, and the quantum Zeno effect are among the major means for protecting quantum systems from decoherence. Increasing the number of qubits of a quantum system to be utilized in a quantum information task as a resource expands the quantum state space. This creates the opportunity to engineer the quantum state of the system in a way that improves the performance of the task and even to protect the system against decoherence. Here, we consider a quantum thermalization machine and four-qubit atomic states as its resource. Taking into account the realistic conditions such as cavity loss and atomic decoherence due to ambient temperature, we design a quantum state for the atomic resource as a classical mixture of Dicke and W states. We show that using the mixture probability as the control parameter, the negative effects of the inevitable decoherence on the machine performance almost vanish. Our work paves the way for optimizing resource systems consisting of a higher number of atoms.