Shuttling check qubits in a spin-qubit railway and using the XZZX surface code under dephasing bias achieves a distance-7 megaquop footprint at 10^{-3} physical error rate.
Chadwick, Willers Yang, Joshua Viszlai, and Frederic T
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CAbLECAR provides a robotics-inspired shuttle scheduler that enables QLDPC codes on tileable spin-qubit hardware, yielding up to 86% faster schedules and orders-of-magnitude gains in encoding efficiency and logical error rates over surface codes.
Resource estimation for magic-state distillation on silicon spin qubits finds 42% overhead reduction via optimized pulses and ~3x physical footprint reduction with biased codes versus surface code.
A review summarizing spin qubit platforms, long-range coupling methods, and a proposal for topological linking toward scalable quantum information processing.
citing papers explorer
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Surface-Code Thresholds and Qubit Footprints in Shuttling-Based Spin-Qubit Railways
Shuttling check qubits in a spin-qubit railway and using the XZZX surface code under dephasing bias achieves a distance-7 megaquop footprint at 10^{-3} physical error rate.
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CAbLECAR: efficiently scheduling QLDPC codes on a tileable spin qubit chip with shuttling
CAbLECAR provides a robotics-inspired shuttle scheduler that enables QLDPC codes on tileable spin-qubit hardware, yielding up to 86% faster schedules and orders-of-magnitude gains in encoding efficiency and logical error rates over surface codes.
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Hardware-Tailored Resource Estimation for Magic-State Distillation on Silicon Spin Qubits
Resource estimation for magic-state distillation on silicon spin qubits finds 42% overhead reduction via optimized pulses and ~3x physical footprint reduction with biased codes versus surface code.
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Theory of spin qubits and the path to scalability
A review summarizing spin qubit platforms, long-range coupling methods, and a proposal for topological linking toward scalable quantum information processing.