Theoretical Physics Seminar
Continuous Bayesian Estimation and Direct Feedback for Exploiting Low-Frequency Noise in Spin Qubits
Miejsce
Institute of Physics PAS; Room D, Building I
Strona WWW
Speaker
dr Jan Krzywda
Affiliation
Leiden University, The Netherlands
Sala
Room D (Building I)
The interaction with a slowly evolving environment is often considered the limiting factor for many spin qubits. However, in principle, the associated timescales extend far beyond a single qubit cycle, presenting an opportunity for the application of feedback control. In this presentation, I will:
- Explore the concept of actively controlled quantum computation,
- Showcase cutting-edge active control techniques applied to spin qubits in GaAs [1],
- Introduce a novel machine learning algorithm designed for adaptive Hamiltonian estimation [2],
- Provide new insights into the microscopic origins of low-frequency charge noise [3,4]
[1] F. Berritta, T. Rasmussen, J. A. Krzywda et al., arXiv:2308.02012 (2023)
[2] J. Benestad, J. A. Krzywda et al, arXiv:2309.15014 (2023)
[3] M. Kępa, Ł. Cywiński, J. A. Krzywda Appl. Phys. Lett. 123, 034005 (2023)
[4] M. Kępa, N. Focke, Ł. Cywiński, J. A. Krzywda Appl. Phys. Lett. 123, 034003 (2023)
Lista terminów (Strona szczegółów wydarzenia)
- 11-10-2023 10:30 - 11:30
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