13 citations · 28 across the 9 of their papers we have counts for
9 papers
Universal Relations for Neutron Stars from Asymptotic Analysis
Syo Kamata, Josuke Minamiguchi, Shuhei Minato
Dimensionless observables of neutron stars, such as the moment of inertia, the tidal deformability, the spin-induced quadrupole moment, and the compactness, satisfy the I--Love--Q…
Algebraic Tomography of Non-Hermitian Floquet Systems from Observable Traces
Syo Kamata
We formulate a framework of Floquet algebraic tomography for finite-dimensional non-Hermitian monodromy matrices from observable trace sequences . Since t…
Exact WKB analysis of inverted triple-well: resonance, PT-symmetry breaking, and resurgence
Syo Kamata, Tatsuhiro Misumi, Cihan Pazarbaşı +1
We study non-Hermitian quantum mechanics of an inverted triple-well potential within the exact WKB framework. For a single classical potential, different Siegert boundary condition…
Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data
Kenji Fukushima, Syo Kamata
We study the performance of the Topological Uncertainty (TU) constructed with a trained feedforward neural network (FNN) for Anomaly Detection. Generally, meaningful information ca…
Exact Sum Rules and Zeta Generating Formulas from the ODE/IM correspondence
Syo Kamata
We develop a spectral-zeta framework for quantum mechanics with the -symmetric potential and…
Stochastic quantization and diffusion models
Kenji Fukushima, Syo Kamata
This is a pedagogical review of the possible connection between the stochastic quantization in physics and the diffusion models in machine learning. For machine-learning applicatio…
Exact quantization conditions and full transseries structures for symmetric anharmonic oscillators
Syo Kamata
We study exact Wentzel-Kramers-Brillouin analysis (EWKB) for a symmetric quantum mechanics (QM) defined by the potential that $V_{\cal PT}(x) = ω^2 x^2 + g x^{2 K} (i x…
Uncertainty quantification in the machine-learning inference from neutron star probability distribution to the equation of state
Yuki Fujimoto, Kenji Fukushima, Syo Kamata +1
We discuss the machine-learning inference and uncertainty quantification for the equation of state (EoS) of the neutron star (NS) matter directly using the NS probability distribut…
Exact WKB analysis for symmetric quantum mechanics: Study of the Ai-Bender-Sarkar conjecture
Syo Kamata
We consider exact WKB analysis to a symmetric quantum mechanics defined by the potential, with ,…