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QI: Fachverband Quanteninformation
QI 16: Superconducting Qubits (joint session QI/TT)
QI 16.13: Vortrag
Mittwoch, 20. März 2024, 12:45–13:00, HFT-FT 131
Superconducting Qubit reset using Demolition Measurement — •Ashutosh Mishra1, Frank Wilhelm-Mauch1, and Shai Machnes1,2 — 1Peter Grünberg Institute - Quantum computing Analytics (PGI-12) Forschungszentrum Jülich, Jülich, Germany — 2Qruise GmbH, Saarbrücken, Germany
Superconducting qubits have been a popular choice for quantum computing, but still are noisy and have been plagued with errors. The error budget of surface code as presented by Google Quantum AI [1] had almost half the errors due to measurement, leakage and qubit idle during measurement and reset. Measurement and reset of the qubits also constitute a large fraction of the time between two experiments. Since algorithms like VQE, QEC rely on multiple measurements to either estimate better parameters for the anstaz or to detect errors, reducing the time taken to measure and reset the qubit can significantly increase the data taking rate and at the same time reduce qubit idling errors. In this project we look for a scheme for combining the measurement and reset processes of the qubit and the readout resonator using optimal control tools. We demonstrate that one can perform a qubit readout, clear leakage population of the qubit and then empty the resonator and reset the qubit to the ground state within 1µ s.
[1] "Suppressing quantum errors by scaling a surface code logical qubit." Nature 614, no. 7949 (2023): 676-681.
Keywords: Qubit reset; Measurement; Optimal control; Leakage reduction; Resonator reset