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Harry Levine

IQUIST Seminar: "Demonstrating a long-coherence dual-rail erasure qubit using tunable transmons," Harry Levine, Amazon Web Services

Event Type
190 Engineering Sciences Building, 1101 W Springfield Ave, Urbana, IL 61801
Nov 7, 2023   11:00 - 11:50 am  
Harry Levine, Amazon Web Services
Hannah Stites
Originating Calendar
IQUIST Seminar Series

Demonstrating a long-coherence dual-rail erasure qubit using tunable transmons

Abstract: Quantum error correction with erasure qubits promises significant advantages over standard error correction due to favorable thresholds for erasure errors. To realize this advantage in practice requires a qubit for which erasure errors are the dominant error, and the ability to check for erasure errors without dephasing the qubit. We demonstrate that a “dual-rail qubit” consisting of a pair of resonantly-coupled transmons can form a highly coherent erasure qubit, where transmon T1 errors are converted into erasure errors and residual dephasing is strongly suppressed, leading to millisecond-scale coherence within the qubit subspace. We show that single-qubit gates are limited primarily by erasure errors while the residual error rates are ~ 40 times lower. We further demonstrate mid-circuit erasure detection while introducing < 0.1% dephasing error per check. Finally, we show that the suppression of transmon noise allows this dual-rail qubit to preserve high coherence over a broad tunable operating range, offering an improved capacity to avoid frequency collisions. This work establishes transmon-based dual-rail qubits as an attractive building block for hardware-efficient quantum error correction.

Bio: Harry Levine is a research scientist at the AWS Center for Quantum Computing, based in Pasadena, CA. He received his Ph.D from Harvard University in 2021 where he contributed to the development of the neutral atom platform for quantum information processing in the group of Mikhail Lukin. Harry was the 2022 recipient of the Deborah Jin Thesis Prize for his Ph.D work. His current research at AWS focuses on hardware-efficient strategies for quantum error correction with superconducting qubits.

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