Quantum Sensing via Superconducting Qubit Control

Borisenok S.

International Conference on Nonlinear Science and Complexity (ICNSC23), İstanbul, Türkiye, 10 - 15 Temmuz 2023, ss.162

  • Yayın Türü: Bildiri / Özet Bildiri
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.162
  • Abdullah Gül Üniversitesi Adresli: Evet

Özet

The quantum sensing mechanism studied here is following our approach developed in [1]-[2], and it is based on coupling the measuring qubits with magnetic materials. The Holstein–Primakoff transformation [3] describing the ferromagnet excitations (magnons) as a superposition of the spin waves instead of dealing with each spin individually serves as a basic model for the Hamiltonian. The magnonic system is coupled to the superconducting qubits [4]. We consider the 2D case of the system like YIG (Yttrium Iron Garnet) or similar types [5]. The coupling parameter plays the role of control function maximizing the quantum Fisher information [6] under the application of a few alternative algorithms: speed gradient [7] and target attractor [8] feedback.

Our research has been supported by the Research Fund of Abdullah Gül University; Project Number: BAP FBA-2023-176 "Improving efficiency of qubit-based sensors via feedback control algorithms".

Keywords: Quantum sensors, Superconducting qubits, Quantum Fisher information, Sub-optimal feedback control.

References:

[1] S. Borisenok, Control over Performance of Qubit-Based Sensors, Cybernetics and Physics, vol. 7 (2018), pp. 93-95.

[2] S. Borisenok, Sensing Magnetic Field with Single-Spin Dynamical Probe State: Control over Sensing Precision via Quantum Fisher Information, European Journal of Science and Technology, vol. 48 (2023), pp. 29-33.

[3] T. Holstein, H. Primakoff, Field Dependence of the Intrinsic Domain Magnetization of a Ferromagnet, Physical Review, vol. 58 (1940), pp. 1098-1113.

[4] J. M. Gambetta, J. M. Chow, M. Steffen, Building Logical Qubits in a Superconducting Quantum Computing System, npj Quantum Information, vol. 3 (2017), article number 2.

[5] A. Schneider, Quantum Sensing Experiments with Superconducting Qubits, Experimental Condensed Matter Physics, Band 29, Karlsruhe: KIT Scientific Publishing (2020).

[6] S. Amari, H. Nagaoka, Methods of Information Geometry, Providence: American Mathematical Society (2000).

[7] A. L. Fradkov, Cybernetical Physics. From Control of Chaos to Quantum Control, Berlin, Heidelberg: Springer (2007).

[8] A. A. Kolesnikov, Introduction of synergetic control, 2014 American Control Conference, Portland, USA, pp. 3013-3016 (2014).