A measurement-adapted coarse-graining method derives a fourth-order effective quantum master equation for open quantum systems, with analytical parameters, regularization for singularities, and demonstration on superconducting qubit readout dynamics.
Rapid high-fidelity multiplexed readout of superconducting qubits
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LUNA achieves up to 10.95x area reduction and 30% lower latency for qubit readout using integrator-based preprocessing and LogicNet LUT synthesis with minimal fidelity loss.
MCMit mitigates mid-circuit measurement errors via a new multi-control branch instruction, CNN and transformer discriminators, and software techniques, reporting up to 70% latency reduction and 80% lower logical error rates in QEC.
A review summarizing superconducting qubit types, DiVincenzo criteria implementations, coherence limits from defects, and large-scale integration strategies for quantum computing.
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Model Order Reduction for Open Quantum Systems Based on Measurement-adapted Time-coarse Graining
A measurement-adapted coarse-graining method derives a fourth-order effective quantum master equation for open quantum systems, with analytical parameters, regularization for singularities, and demonstration on superconducting qubit readout dynamics.
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LUNA: LUT-Based Neural Architecture for Fast and Low-Cost Qubit Readout
LUNA achieves up to 10.95x area reduction and 30% lower latency for qubit readout using integrator-based preprocessing and LogicNet LUT synthesis with minimal fidelity loss.
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MCMit: Mid-Circuit Measurement Error Mitigation
MCMit mitigates mid-circuit measurement errors via a new multi-control branch instruction, CNN and transformer discriminators, and software techniques, reporting up to 70% latency reduction and 80% lower logical error rates in QEC.
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Review of Superconducting Qubit Devices and Their Large-Scale Integration
A review summarizing superconducting qubit types, DiVincenzo criteria implementations, coherence limits from defects, and large-scale integration strategies for quantum computing.