Two matched-filter algorithms for neutral-atom qubit readout reduce measurement errors by 32-43% versus Gaussian thresholds and use 100x fewer parameters than CNNs while remaining scalable.
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A closed-form resource estimation tool for concatenated quantum error correction reveals that magic-state operations rarely dominate qubit costs, with general optimizations providing orders-of-magnitude larger reductions than magic-specific ones.
A millikelvin superconducting DAC integrated with fluxonium qubits generates persistent flux tuning signals via SFQ pulses without measurable coherence degradation.
Reservoir computing using polynomial features from measurement signals achieves up to 50% error reduction on single-qubit and 11% on five-qubit datasets with 100x fewer multiplications than neural networks while reducing crosstalk.
Simulations show non-local CNOT achieves up to 10x lower logical error than teleportation and distributed qLDPC needs d≈11 at p=10^{-4} or d≈29 at p=10^{-3} (with p_ebit=10p) for <10^{-12} error.
Proposes a transmon-based co-designed quantum processor using a central resonator and QCR to enable NISQ simulation of nanoscale NMR with major SWAP reduction and non-unitary hyperpolarization operations.
citing papers explorer
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Efficient measurement of neutral-atom qubits with matched filters
Two matched-filter algorithms for neutral-atom qubit readout reduce measurement errors by 32-43% versus Gaussian thresholds and use 100x fewer parameters than CNNs while remaining scalable.
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Magic states are rarely the best resource to optimize: An analytical tool for qubit resource estimation in concatenated codes
A closed-form resource estimation tool for concatenated quantum error correction reveals that magic-state operations rarely dominate qubit costs, with general optimizations providing orders-of-magnitude larger reductions than magic-specific ones.
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Millikelvin digital-to-analog converter for superconducting quantum processors
A millikelvin superconducting DAC integrated with fluxonium qubits generates persistent flux tuning signals via SFQ pulses without measurable coherence degradation.
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Superconducting Qubit Readout Using Next-Generation Reservoir Computing
Reservoir computing using polynomial features from measurement signals achieves up to 50% error reduction on single-qubit and 11% on five-qubit datasets with 100x fewer multiplications than neural networks while reducing crosstalk.
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Transversal Fault Tolerant Distributed Quantum Computing Operations
Simulations show non-local CNOT achieves up to 10x lower logical error than teleportation and distributed qLDPC needs d≈11 at p=10^{-4} or d≈29 at p=10^{-3} (with p_ebit=10p) for <10^{-12} error.
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Co-Design quantum simulation of nanoscale NMR
Proposes a transmon-based co-designed quantum processor using a central resonator and QCR to enable NISQ simulation of nanoscale NMR with major SWAP reduction and non-unitary hyperpolarization operations.