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Bulletin of the American Physical Society

Frequency-domain pulse engineering for fast qubit readout and resonator reset

Riccardo Borgani, Mats O. Tholén, Shan W. Jolin, Daniel Forchheimer, David B. Haviland

Published Mar 5, 2020• 0 citations
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The ability to fast reset a qubit state is crucial for quantum information processing. However, to actively reset a qubit requires engineering a pathway to interact with a dissipative bath, which often comes at the cost of reduced qubit protection from the environment. Here, we present a multipurpose architecture that enables fast reset and protection of superconducting qubits during control and readout. In our design, two on-chip diplexers are connected by two transmission lines. The high-pass branch provides a flat passband for convenient allocation of readout resonators above the qubit frequencies, which is preferred for reducing measurement-induced state transitions. In the low-pass branch, we leverage a standing-wave mode below the maximum qubit frequency for a rapid reset. The qubits are located in the common stopband to inhibit dissipation during coherent operations. We demonstrate resetting a transmon qubit from its first excited state to the ground state in 100 ns, achieving a residual population of 2.7%. The reset time may be further shortened to 27 ns by exploiting the coherent population inversion effect. We further extend the technique to resetting the qubit from its second excited state. Our approach promises scalable implementation of fast reset and qubit protection during control and readout, adding to the toolbox of dissipation engineering.
The unconditional and fast reset of fixed-frequency superconducting qubits is crucial for the operation of near-term quantum computers at elevated trigger rates. Many reset schemes are either conditional (depend on the qubit's state) or require flux tunability. This study presents an all-microwave pulsed reset sequence that uses the readout resonator to unconditionally empty a fixed-frequency transmon qubit, and that also reduces the qubit thermal population. This method could be used to increase the repetition rate of a superconducting quantum computer running, for example, variational eigensolvers requiring many measurements.