ED-9-2-INV

Overcoming leakage in quantum error correction

15:15-15:45 30/11/2023

*Kevin C. Miao, Matthew J. McEwen, Juan Atalaya, Daniel T. Sank, Yu Chen
Google Quantum AI, Santa Barbara, CA 93111, USA
Abstract Body

Leakage of quantum information out of the two computational states of a qubit into other energy states represents a major challenge in the pursuit of quantum error correction. During an error-corrected algorithm, leakage builds over time and spreads through multi-qubit interactions. This leads to correlated errors that degrade the exponential suppression of logical error with scale, challenging the feasibility of quantum error correction as a path towards fault-tolerant quantum computation. Here, we demonstrate a distance-3 surface code and distance-21 bit-flip code on a quantum processor where leakage is removed from all qubits in each cycle. This shortens the lifetime of leakage and curtails its ability to spread and induce correlated errors. We report a ten-fold reduction in steady-state leakage population on the data qubits encoding the logical state and an average leakage population of less than 1×10-3 throughout the entire device. Our leakage removal process efficiently returns the system back to the computational basis, and adding it to a code circuit prevents leakage from inducing correlated error across cycles. With this demonstration that leakage can be contained, we resolve a key challenge for practical quantum error correction at scale.

References

Overcoming leakage in scalable quantum error correction, K.C. Miao, M. McEwen, et al.,
https://arxiv.org/abs/2211.04728

Acknowledgment

We acknowledge the Google Quantum AI hardware team for device fabrication, as well as experimental set-up, operation, and maintenance.

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