Calibration of the Cross-Resonance Gate using Closed-Loop Optimal Control
ORAL
Abstract
The cross-resonance gate is an appealing entangling gate for scaling up superconducting quantum processors because of its modest hardware requirements and low error rates. However, reliably achieving coherence-limited fidelity for this gate is challenging due to the multitude of parameters to calibrate, especially in the presence of crosstalk and spectator qubits. Further, optimal parameters for the gate are sensitive to the detuning between the qubits and hence to fabrication variation. For calibrating cross-resonance gates on a large quantum processor, a method that can efficiently optimize parameters across a set of qubits with a spread of qubit frequencies and crosstalk dynamics is desired.
We present a closed-loop, optimization-based protocol to calibrate the cross-resonance gate. To simultaneously calibrate the gate parameters, we use a physically-motivated parameterized ansatz that targets the dominant error sources of the gate. With this protocol, we are able to calibrate several parameters of the gate simultaneously, for multiple pairs of qubits. The efficiency and flexibility of this protocol may simplify the calibration of larger quantum processors that use the cross-resonance gate as a native entangling operation.
We present a closed-loop, optimization-based protocol to calibrate the cross-resonance gate. To simultaneously calibrate the gate parameters, we use a physically-motivated parameterized ansatz that targets the dominant error sources of the gate. With this protocol, we are able to calibrate several parameters of the gate simultaneously, for multiple pairs of qubits. The efficiency and flexibility of this protocol may simplify the calibration of larger quantum processors that use the cross-resonance gate as a native entangling operation.
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This work was funded by The Army Research Office.
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Presenters
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Brad Mitchell
- University of California, Berkeley
- Univ of California – Berkeley
- University of California - Berkeley