Far-detuned cross-resonance designs cut frequency collisions in transmon processors, achieving 10% collision-free yield for 1024 qubits with qubit-frequency spread reduced to 6.8 MHz.
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4 Pith papers cite this work. Polarity classification is still indexing.
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quant-ph 4years
2026 4verdicts
UNVERDICTED 4roles
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Lighter fluxonium qubits show lower susceptibility to measurement-induced state transitions than heavier counterparts due to reduced multi-photon resonance density, smaller required coupling, and more harmonic charge operator structure.
Superconducting circuit hosts fractional fluxon states (fraxons) in a tailored Josephson potential to realize protected qudits with a STIRAP gate protocol.
A system-level design methodology for scalable fluxonium processors with double-transmon couplers that supports high-fidelity gates, fast reset, and dispersive readout through frequency partitioning under realistic constraints.
citing papers explorer
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Systematic frequency-collision analysis of the cross-resonance gate outside the straddling regime
Far-detuned cross-resonance designs cut frequency collisions in transmon processors, achieving 10% collision-free yield for 1024 qubits with qubit-frequency spread reduced to 6.8 MHz.
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Measurement-induced state transitions across the fluxonium qubit landscape
Lighter fluxonium qubits show lower susceptibility to measurement-induced state transitions than heavier counterparts due to reduced multi-photon resonance density, smaller required coupling, and more harmonic charge operator structure.
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Fraxonium: Fractional fluxon states for qudit encoding
Superconducting circuit hosts fractional fluxon states (fraxons) in a tailored Josephson potential to realize protected qudits with a STIRAP gate protocol.
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System-Level Design of Scalable Fluxonium Quantum Processors with Double-Transmon Couplers
A system-level design methodology for scalable fluxonium processors with double-transmon couplers that supports high-fidelity gates, fast reset, and dispersive readout through frequency partitioning under realistic constraints.