Pauli Envelope framework enables optimal loss-distance correction (d_loss ~ d) for rotated surface codes via Mid-SWAP circuits and Envelope-MLE decoder, with simulations showing up to 40% higher thresholds.
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A donor-cluster array architecture in silicon uses shared electrons and natural hyperfine distributions for individual spin addressability, tunable inter-cluster exchange, and high-fidelity gates to enable scalable quantum computing.
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Achieving Optimal-Distance Atom-Loss Correction via Pauli Envelope
Pauli Envelope framework enables optimal loss-distance correction (d_loss ~ d) for rotated surface codes via Mid-SWAP circuits and Envelope-MLE decoder, with simulations showing up to 40% higher thresholds.
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Scalable Spin Qubit Architecture with Donor-Cluster Arrays in Silicon
A donor-cluster array architecture in silicon uses shared electrons and natural hyperfine distributions for individual spin addressability, tunable inter-cluster exchange, and high-fidelity gates to enable scalable quantum computing.