Implementing surface code using time-dynamic circuits (Part 2)
ORAL
Abstract
Quantum Error Correction (QEC) below the surface code threshold has been realized using repeated application of circuits that measure stabilizers. These circuits can be understood using the concept of detecting regions, which track stabilizers as they are deformed by the circuit. Recently, using these detecting regions for circuit design, new families of surface code circuits have been proposed that allow for tradeoffs in hardware, such as the use of iSWAP gates instead of CZ gates, the periodic exchange of data and measure qubits, and operation of the surface code on a hexagonal lattice. In the second part of this two-part talk, we experimentally benchmark these circuits and discuss their performance.
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Presenters
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Alexis Morvan
Google LLC
Authors
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Alexis Morvan
Google LLC
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Alec W Eickbusch
Google Quantum AI
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Matthew J McEwen
Google Quantum AI, Google LLC
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Volodymyr Sivak
Google Quantum AI
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Charles J Neill
Google Quantum AI, University of California, Santa Barbara
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Pedram Roushan
Google LLC
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Yu Chen
Google Quantum AI, Google LLC