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20232026
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quant-ph2026

Optimal control theory for measured quantum Schrödinger bridges

Masayuki Ohzeki, Andrew N. Jordan

Schrödinger bridges and entropic optimal transport are usually formulated as stochastic interpolation problems between initial and final probability distributions. In their computa…

quant-ph2026

Slepian Bounds on the Success Probability of Virtual Distillation

Masayuki Ohzeki, Sasuke Kimata, Xinwei Lee +1

Virtual distillation is a powerful near-term error-mitigation primitive, but it is also a spectral filter: it amplifies the dominant eigenvector component already present in the no…

quant-ph2026

Coherent Quantum Schrodinger Bridge: Two-Boundary Optimal Control for Quantum Algorithm Design

Masayuki Ohzeki

Quantum algorithms are intrinsically two-boundary processes: an input state is prepared, and an output state or subspace is selected as the computational answer. We formulate this…

quant-ph2026

Attention-Like Hebbian Learning from Quantum Probability Flow and Quantum-Annealer Tests

Masayuki Ohzeki

We propose a quantum probability-flow principle for deriving local learning rules in associative memory. A transverse field defines leakage channels from data states, and minimizin…

quant-ph2026

Analytical Singular-Value Structure of Analytic-Continuation Kernels from Slepian Information Theory

Masayuki Ohzeki

Analytic continuation from imaginary-time Green's functions to real-frequency spectra is a central ill-posed inverse problem in quantum many-body physics. We show that the thermal…

quant-ph2023

Duality analysis in symmetric group and its application to random tensor network model

Masayuki Ohzeki

The Ising model is the simplest to describe many-body effects in classical statistical mechanics. Duality analysis leads to a critical point under several assumptions. The Ising mo…