Presents a quantum soft PCA framework with Fermi-Dirac filter for principal subspace scoring without eigenvector recovery, claiming dimension-independent sample complexity O(η^{-2}).
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2026 2verdicts
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Quantum algorithm encodes regularized Stokes equations via Schrödingerisation into an explicit circuit with claimed exponential speedup in dimensionality, tested on Qiskit.
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Quantum principal component analysis without eigenvector recovery
Presents a quantum soft PCA framework with Fermi-Dirac filter for principal subspace scoring without eigenvector recovery, claiming dimension-independent sample complexity O(η^{-2}).
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Quantum Simulation of Stokes Flow via Schr\"odingerisation and Artificial Compressibility
Quantum algorithm encodes regularized Stokes equations via Schrödingerisation into an explicit circuit with claimed exponential speedup in dimensionality, tested on Qiskit.