SAMOP 2023 – scientific programme
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QI: Fachverband Quanteninformation
QI 36: Quantum Metrology (joint session QI/Q)
QI 36.5: Talk
Friday, March 10, 2023, 12:00–12:15, F428
Closed-loop Quantum Optimal Control for Electronic Spins — •Thomas Reisser1, 2, Marco Rossignolo3, 4, Matthias M. Müller1, Felix Motzoi1, Fedor Jelezko3, Simone Montangero4, 5, and Tommaso Calarco1, 2 — 1Forschungszentrum Jülich GmbH — 2University of Cologne — 3Ulm University — 4Università degli Studi di Padova — 5INFN, Sezione di Padova
To unlock the full potential of many quantum technologies, quantum optimal control (QOC) algorithms and strategies are used to enhance and enable operations on a quantum system. While some methods depend on simulations and good models of the system, it can be helpful to close the loop with an experiment in order to tweak the given controls for a specific setup. The Quantum Optimal Control Suite (QuOCS) is designed to perform black-box optimization in connection with an arbitrary experiment or simulation. Due to its interface with the experiment control software Qudi [1] is has been used successfully for the optimization of pulses for color centers in diamond and also two-qubit gates with Rydberg Atoms [2]. We show the main features of the QuOCS software package and report on recent developments and applications of QOC on electron spins in crystals with a focus on quantum sensing.
References:
[1] J. M. Binder et al., Qudi: A modular python suite for experiment control and data processing, SoftwareX (2017)
[2] A. Pagano et al., Error budgeting for a controlled-phase gate with strontium-88 rydberg atoms, PRR (2022)