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}).
Fractal decomposition of exponential operators with applications to many- body theories and Monte Carlo simulations.Physics Letters A, 146(6):319–323, 1990
2 Pith papers cite this work. Polarity classification is still indexing.
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Quantum algorithm for photodissociation wavefunction propagation on quantum computers via split-operator, QFT, dilated non-unitary absorber, and Hadamard-test autocorrelation, matching benchmarks on NOCl under ideal conditions with noise robustness.
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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 Mechanical Studies of Photodissociation Dynamics on Quantum Computers
Quantum algorithm for photodissociation wavefunction propagation on quantum computers via split-operator, QFT, dilated non-unitary absorber, and Hadamard-test autocorrelation, matching benchmarks on NOCl under ideal conditions with noise robustness.