Towards operating an error correcting code with noise biased bosonic qubits Part 2
ORAL
Abstract
Biased noise qubits can improve the hardware efficiency of error correcting codes by allowing them to primarily focus on correcting one type of error. To leverage this advantage, it is critical that the noise bias be preserved not just while idling but during all circuit operations. We perform an experiment to study the performance of an error correcting code in a biased noise architecture using transmons and cat qubits.
In the second part of the talk, we go over the error correction experiment and discuss the performance of our error correcting code.
In the second part of the talk, we go over the error correction experiment and discuss the performance of our error correcting code.
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Presenters
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Harald Putterman
AWS Center for Quantum Computing
Authors
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Harald Putterman
AWS Center for Quantum Computing
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Shahriar Aghaeimeibodi
AWS Center for Quantum Computing
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Fernando G Brandão
AWS Center for Quantum Computing, AWS Center for Quantum Computing; Caltech
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Connor T Hann
AWS Center for Quantum Computing
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Harry Levine
AWS Center for Quantum Computing
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Greg MacCabe
AWS Center for Quantum Computing
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Matthew Matheny
AWS Center for Quantum Computing, Caltech
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Hesam Moradinejad
AWS Center for Quantum Computing
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Kyungjoo Noh
AWS Center for Quantum Computing
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John Owens
AWS Center for Quantum Computing
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Oskar Painter
AWS Center for Quantum Computing
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Rishi Patel
AWS Center for Quantum Computing