Quantum collocation framework for 1D linear and nonlinear BVPs that uses a residual-threshold oracle on joint spatial-parameter registers to produce coherent superposition of spatially conditioned amplitude amplification with poly-log gate complexity.
Childs, Robin Kothari, and Rolando D
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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quant-ph 2years
2026 2representative citing papers
A hybrid quantum-classical pipeline pairs signature kernel feature layers with QCNNs for binary MNIST digit classification, finding modest accuracy gains for some ansatzes but VQLS-based kernel computation is infeasible beyond 5-6 time steps.
citing papers explorer
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A Quantum Collocation Approach to One-Dimensional Boundary Value Problems with Coherent Amplitude Amplification
Quantum collocation framework for 1D linear and nonlinear BVPs that uses a residual-threshold oracle on joint spatial-parameter registers to produce coherent superposition of spatially conditioned amplitude amplification with poly-log gate complexity.
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QCNN with Rough Path Signature Kernels
A hybrid quantum-classical pipeline pairs signature kernel feature layers with QCNNs for binary MNIST digit classification, finding modest accuracy gains for some ansatzes but VQLS-based kernel computation is infeasible beyond 5-6 time steps.