Five standardized moments of the Ising density of states predict the frustration index of signed graphs with 0.4 mean absolute error, and a proposed QPE-based sampler reaches the same accuracy with orders of magnitude fewer shots than Hadamard-test trace sampling.
The topology of data hides in quantum thermal states.APL Quantum, 1(3):036106, 2024
4 Pith papers cite this work, alongside 5 external citations. Polarity classification is still indexing.
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QRSI spans degenerate quantum eigenspaces almost surely by conjugating the Hamiltonian with random unitaries on g parallel branches and using subspace estimation, while exactly preserving the spectral gap.
Structured state preparation in QCQMC improves energy accuracy over pure variational methods across molecular, condensed-matter, nuclear, and graph problems.
Simulated polariton condensate lattices act as physics-based feature generators for CNNs and improve classification of cliques and asymmetries in point clouds over raw point images in three synthetic tasks.
citing papers explorer
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Learning structural balance of graphs from quantum spectral features
Five standardized moments of the Ising density of states predict the frustration index of signed graphs with 0.4 mean absolute error, and a proposed QPE-based sampler reaches the same accuracy with orders of magnitude fewer shots than Hadamard-test trace sampling.
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Quantum Randomized Subspace Iteration
QRSI spans degenerate quantum eigenspaces almost surely by conjugating the Hamiltonian with random unitaries on g parallel branches and using subspace estimation, while exactly preserving the spectral gap.
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A unified quantum computing quantum Monte Carlo framework through structured state preparation
Structured state preparation in QCQMC improves energy accuracy over pure variational methods across molecular, condensed-matter, nuclear, and graph problems.
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Polaritonic Machine Learning for Graph-based Data Analysis
Simulated polariton condensate lattices act as physics-based feature generators for CNNs and improve classification of cliques and asymmetries in point clouds over raw point images in three synthetic tasks.