A resource-reusing FPGA architecture for GARI-structured message-passing decoding of quantum LDPC codes with correlated errors achieves 596 ns average latency and 6x lower resource use than prior GARI hardware on a VCU19P device.
Neural and Computational Mechanisms Underlying One -Shot Perceptual Learning in Humans
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A new measurement schedule turns the heavy-hex subsystem code into the dynamic compass code, which demonstrates a threshold for stability and supports fault-tolerant lattice surgery.
Dynamic compass code on heavy-hex lattice yields competitive threshold and experimental 38.3% logical error rate improvement for distance-5 via ACES noise characterization and leakage-aware post-selection.
Bath memory reshapes transport patterns in the extended phase of the AAH transition but mainly renormalizes timescales in the localized phase.
A d_x2-y2 orbital bilayer t-J model with first-principles parameters unifies experimental Tc controls in La3Ni2O7 via particle-hole asymmetry and J_perp dependence, proposing electron doping to enhance Tc.
Neural networks learn via sparse retrospective updates triggered internally when prediction error exceeds a threshold derived from recent error statistics, leading to stepwise parameter changes in simulations.
citing papers explorer
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A Scalable FPGA Architecture for Real-Time Decoding of Quantum LDPC Codes Using GARI
A resource-reusing FPGA architecture for GARI-structured message-passing decoding of quantum LDPC codes with correlated errors achieves 596 ns average latency and 6x lower resource use than prior GARI hardware on a VCU19P device.
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Low-valency scalable quantum error correction with a dynamic compass code
A new measurement schedule turns the heavy-hex subsystem code into the dynamic compass code, which demonstrates a threshold for stability and supports fault-tolerant lattice surgery.
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Scalable quantum error correction tailored for a heavy-hex qubit array
Dynamic compass code on heavy-hex lattice yields competitive threshold and experimental 38.3% logical error rate improvement for distance-5 via ACES noise characterization and leakage-aware post-selection.
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Phase-dependent role of dissipation across the Aubry-Andr\'e-Harper transition
Bath memory reshapes transport patterns in the extended phase of the AAH transition but mainly renormalizes timescales in the localized phase.
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A Unified Understanding of the Experimental Controlling of the T$_\text{c}$ of La$_3$Ni$_2$O$_7$
A d_x2-y2 orbital bilayer t-J model with first-principles parameters unifies experimental Tc controls in La3Ni2O7 via particle-hole asymmetry and J_perp dependence, proposing electron doping to enhance Tc.
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Internally triggered retrospective learning in neural networks
Neural networks learn via sparse retrospective updates triggered internally when prediction error exceeds a threshold derived from recent error statistics, leading to stepwise parameter changes in simulations.