MLE for 1D-local sparse Pauli-Lindblad channels reduces to an efficient Bayesian network computation, yielding improved tomography.
Distinguishing types of correlated errors in superconducting qubits
3 Pith papers cite this work. Polarity classification is still indexing.
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A statistical framework models quasiparticle recombination and trapping in transmon qubits after particle impacts, enabling energy reconstruction of impacts through phonon-linked correlated relaxations that match Monte Carlo simulations.
Distributed toric and hyperbolic Floquet codes maintain logical error suppression when entire nodes fail at low rates, with the toric code outperforming a monolithic device below 0.05% physical error rate for node failure probability p/100.
citing papers explorer
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Better Pauli Channel Learning with Maximum Likelihood Estimation
MLE for 1D-local sparse Pauli-Lindblad channels reduces to an efficient Bayesian network computation, yielding improved tomography.
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Measuring quasiparticle dynamics for particle impact reconstruction in a superconducting qubit chip
A statistical framework models quasiparticle recombination and trapping in transmon qubits after particle impacts, enabling energy reconstruction of impacts through phonon-linked correlated relaxations that match Monte Carlo simulations.
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Tolerating Device Failure in Distributed Quantum Computing
Distributed toric and hyperbolic Floquet codes maintain logical error suppression when entire nodes fail at low rates, with the toric code outperforming a monolithic device below 0.05% physical error rate for node failure probability p/100.