Abstract

Reaching high-speed, high-fidelity qubit operations requires precise control over the shape of the underlying pulses. For weakly anharmonic systems, such as superconducting transmon qubits, short gates lead to leakage to states outside of the computational subspace. Control pulses designed with open-loop optimal control may reduce such leakage. However, model inaccuracies can severely limit the usability of such pulses. We implemented a closed-loop optimization that simultaneously adapts all control parameters based on measurements of a cost function built from Clifford gates. We directly optimize the amplitude and phase of each sample point of the digitized control pulse. We thereby fully exploit the capabilities of the pulse generation electronics and create a 4.16 ns single-qubit pulse with 99.76 % fidelity and 0.044 % leakage. This is a sevenfold reduction of the leakage rate and a threefold reduction in standard errors of the best DRAG pulse we have calibrated at such short durations on the same system.

Highlights

  • Superconducting qubits are a promising candidate to realize large-scale quantum computing systems[1,2,3]

  • When the system model is accurate enough, the optimized control pulses can immediately be applied in experiment, yielding high performance and reliable control[17,18,19]

  • Pulse shaping for superconducting qubits requires closed-loop optimal control, i.e., direct optimization on the experimental system, which limits the amount of tunable parameters defining the pulse shapes[14,30]

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Summary

Introduction

Superconducting qubits are a promising candidate to realize large-scale quantum computing systems[1,2,3]. With the powerful tools provided by open-loop optimal control theory preparing target states[10,11,12] and gates[13,14] can be realized with high fidelity. In these methods, numerically simulated system models are used to optimize hundreds of parameters that determine the shape of the control fields applied to the quantum system[15,16]. Pulse shaping for superconducting qubits requires closed-loop optimal control, i.e., direct optimization on the experimental system, which limits the amount of tunable parameters defining the pulse shapes[14,30]

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