A new framework for error semi-transparent gates {X, H, T} achieves five-fold lower infidelity from photon loss and extended lifetimes under quantum error correction for bosonic logical qubits.
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quant-ph 2years
2026 2representative citing papers
Two machine learning models reconstruct continuous Wigner functions from sparse phase-space measurements: a provably efficient regression model for sparse states (O(s⁴ log d) samples) and a self-supervised neural network for general states including experimental GKP code data.
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Error semitransparent universal control of a bosonic logical qubit
A new framework for error semi-transparent gates {X, H, T} achieves five-fold lower infidelity from photon loss and extended lifetimes under quantum error correction for bosonic logical qubits.
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Learning to Reconstruct Wigner Functions in Phase Space
Two machine learning models reconstruct continuous Wigner functions from sparse phase-space measurements: a provably efficient regression model for sparse states (O(s⁴ log d) samples) and a self-supervised neural network for general states including experimental GKP code data.