Introduces a quantum-analogue cloud-function model for large-scale sensory processing in the brain and uses it to account for post-decisional changes of mind via interplay of fast and slow neural dynamics.
1997.Spectral graph theory
4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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New degree-sequence lower bounds on hard-core independent set sizes via multivariate local occupancy and spectral analysis.
GeneCS compiler reduces ancillary qubits and checks by over 85% on average for single- and cross-code logical operations on stabilizer codes while preserving error rates and scaling to over 10,000 qubits.
A physics-constrained inverse-problem framework identifies graph-based lumped-parameter thermal models from temperature measurements for spacecraft digital-twin applications.
citing papers explorer
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A Quantum-Analogue Formalism for Modeling Supraliminal Information Processing
Introduces a quantum-analogue cloud-function model for large-scale sensory processing in the brain and uses it to account for post-decisional changes of mind via interplay of fast and slow neural dynamics.
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Degree-sequence bounds for independent sets via multivariate local occupancy
New degree-sequence lower bounds on hard-core independent set sizes via multivariate local occupancy and spectral analysis.
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GeneCS: Synthesizing Resource-Efficient Code Surgery for Arbitrary Quantum Stabilizer Codes
GeneCS compiler reduces ancillary qubits and checks by over 85% on average for single- and cross-code logical operations on stabilizer codes while preserving error rates and scaling to over 10,000 qubits.
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Physics-constrained identification of graph-based thermal networks for spacecraft digital twins
A physics-constrained inverse-problem framework identifies graph-based lumped-parameter thermal models from temperature measurements for spacecraft digital-twin applications.