Conformalized Quantum DeepONet Ensembles reduce operator inference from quadratic to linear complexity using QOrthoNNs and SPQCs while delivering distribution-free uncertainty guarantees through ensemble conformal prediction.
and Scali, Stefano and Gentile, Antonio A
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Quantum spectral method solves non-periodic Dirichlet boundary value problems with polylogarithmic complexity by extending Fourier discretization with domain doubling, antisymmetric reflection, and quantum sine transform.
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Conformalized Quantum DeepONet Ensembles for Scalable Operator Learning with Distribution-Free Uncertainty
Conformalized Quantum DeepONet Ensembles reduce operator inference from quadratic to linear complexity using QOrthoNNs and SPQCs while delivering distribution-free uncertainty guarantees through ensemble conformal prediction.
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A Quantum Spectral Method for Non-Periodic Boundary Value Problems
Quantum spectral method solves non-periodic Dirichlet boundary value problems with polylogarithmic complexity by extending Fourier discretization with domain doubling, antisymmetric reflection, and quantum sine transform.