High-fidelity two-qubit quantum gates with neutral atoms
ORAL
Abstract
Neutral atom arrays have recently emerged as a leading quantum computing platform, enabling coherent control of hundreds of atoms in programmable two-dimensional arrays [1], as well as digital quantum computation in a dynamically reconfigurable architecture [2]. The platform’s scalability and all-to-all connectivity make it a unique approach for realizing novel quantum circuits and quantum error correction protocols. A key requirement for such applications is high-fidelity two-qubit operations. In particular, fidelities exceeding 99% are important for surpassing most current error correction thresholds. We report experimental realization of a new family of two-qubit quantum entangling gates, demonstrating fidelities of 99.5% while operating on tens of atoms in parallel. Our approach combines robust single-pulse Rydberg gate schemes inspired by Jandura and Pupillo [3], dark-state physics to suppress intermediate state scattering, and improvements to Rydberg excitation and atom cooling. We benchmark this two-qubit gate fidelity by multiple repeated gate applications, characterize the physical error sources, and identify a path toward higher fidelities. This advance, along with the ability to generate nonlocal connectivity through coherent atom transport and natural scalability to 1000s of atoms, lays the groundwork for large-scale control of error-corrected logical qubits. Finally, we provide an overview of ongoing experimental upgrades, including local control and mid-circuit feedback capabilities, and discuss the scientific frontiers opened by this work.
[1] Ebadi et al., Nature 595, 227-232 (2021).
[2] Bluvstein et al., Nature 604, 451-456 (2022).
[3] Jandura and Pupillo, Quantum 6, 712 (2022).
[1] Ebadi et al., Nature 595, 227-232 (2021).
[2] Bluvstein et al., Nature 604, 451-456 (2022).
[3] Jandura and Pupillo, Quantum 6, 712 (2022).
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Presenters
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Simon Evered
Harvard University
Authors
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Simon Evered
Harvard University
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Dolev Bluvstein
Harvard University
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Marcin Kalinowski
Harvard University
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Sepehr Ebadi
Harvard University
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Tom Manovitz
Harvard University
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Hengyun Zhou
Harvard University
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Sophie Li
Harvard University
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Alexandra A Geim
Harvard University
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Tout T Wang
Harvard University
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Giulia Semeghini
Harvard University
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Markus Greiner
Harvard University
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Vladan Vuletic
Massachusetts Institute of Technology MIT, Massachusetts Institute of Technology
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Mikhail D Lukin
Harvard University