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Thursday, December 19, 2024
12:30 PM - 1:30 PM
T-4 Conference Room (TA03, Building 524, Room 105)

Seminar

Logical computation demonstrated with a neutral atom quantum processor

Jonathan King (Atom Computing Chief Scientist) and Ben Reichardt (Microsoft Principal Researcher)

Transitioning from quantum computation on physical qubits to quantum computation on encoded, logical qubits can improve the error rate of operations, and will be essential for realizing valuable quantum computational advantages. Using a neutral atom quantum processor with 256 qubits, each an individual Ytterbium atom, we demonstrate the entanglement of 24 logical qubits using the distance-two 4,2,2 code, simultaneously detecting errors and correcting for lost qubits. We also implement the Bernstein-Vazirani algorithm with up to 28 logical qubits encoded in the 4,1,2 code, showing better-than-physical error rates. We demonstrate fault-tolerant quantum computation in our approach, guided by the proposal of Gottesman (2016), by performing repeated loss correction for both structured and random circuits encoded in the 4,2,2 code. Finally, since distance-two codes can correct qubit loss, but not other errors, we show repeated loss and error correction using the distance-three 9,1,3 Bacon-Shor code. These results begin to clear a path for achieving scientific quantum advantage with a programmable neutral atom quantum processor.

Host: Andrew Sornberger (CCS-3)