Author

Shunji Matsuura

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Preprint Aug 2026

Krylov Break Times from an Inhomogeneous Lieb--Robinson Light Cone

Krylov and Lanczos approximations are used in quantum dynamics, quantum subspace methods, and Hamiltonian learning. A practical question is how long an $m$-dimensional Krylov truncation can be trusted. We argue that this time is fixed by causal propagation on the associated Jacobi chain. The relevant distance is not th...

Shunji Matsuura, Yoji Kawamura, J. Salfi et al. · 0 citations

Preprint Sep 2026

Discretization-Aware Fine-Tuning for Quantum Machine Learning with Chemical Foundation Models

A key challenge in practical quantum machine learning (QML), particularly for discriminative tasks such as classification, is the limited capacity of near-term quantum devices to encode high-dimensional classical data into small quantum registers. In optimized basis-encoded (bit-bit) settings, this constraint leads to...

Shunji Matsuura, S. Johri · 0 citations