A new framework establishes a trade-off between energy cost and complexity in quantum phase estimation, locating a sweet spot for co-optimization at desired precision.
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Maps decohered toric code under GAD and SGAD channels to classical spin models and derives logical failure probabilities versus temperature and squeezing.
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Trade-off between complexity and energy in quantum phase estimation
A new framework establishes a trade-off between energy cost and complexity in quantum phase estimation, locating a sweet spot for co-optimization at desired precision.
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Decohered toric code under quantum damping noise and its mapping to a classical spin model
Maps decohered toric code under GAD and SGAD channels to classical spin models and derives logical failure probabilities versus temperature and squeezing.