教員一覧 List of faculty members
KATO Yuzuru 准教授
KATO, Yuzuru Associate Professor
KATO Yuzuru Associate professor
KATO YuzuruBelongs:
Department of Complex and Intelligent Systems; Complex Systems Information Science
Field of Study
Applied mathematics, mathematical engineering (nonlinear science, quantum mechanics, control engineering)Previous employment/history
Tokyo Institute of TechnologySubjects in charge (undergraduate)
Analysis I, II, Numerical Analysis, Information TheorySubjects taught (Graduate School)
Complex SystemsBachelor of Science
Doctor (Engineering)
KATO, Yuzuru Associate Professor
Affiliation:
Department of Complex and Intelligent Systems
Research Fields
Applied mathematics and mathematical enginerring (nonlinear dynamics, quantum mechanics, control engineering)Academic Background
Tokyo Institute of TechnologySubjects in Charge (Undergraduate)
Analysis I & II, Numerical analysis, Information theoryDegree
Doctor of EngineeringRelated Links
Related Links
Research Projects
Our research focuses on analyzing physical systems exhibiting nonlinear phenomena in the real world, using mathematical sciences and numerical computation. We address issues such as how to model the system, how it behaves mechanically, what information can be extracted from the data it outputs, and what kind of controllers can be designed for it. We cover a wide range of systems, from micro-scale systems described by quantum mechanics to macro-scale systems described by classical mechanics. In particular, we are interested in synchronization phenomena observed in a wide range of fields, including atomic ensembles, nerve cells, pedestrian steps, and chemical reactions.
The appeal of research
Unraveling the simple, universal mathematical structures underlying complex nonlinear phenomena offers the same enjoyment as solving a difficult mathematical puzzle. Furthermore, based on such mathematical structures, we can design practical and versatile engineering methods.
Achievements
Analysis of quantum synchronization phenomena using semiclassical phase reduction theory
Phase reduction theory is a theory that reduces the dimensionality of the equations of motion for stable periodic orbits in multidimensional nonlinear dynamical systems to a one-dimensional phase equation that summarizes the characteristics of the oscillator. Phase reduction theory has served as a guide for elucidating the mechanisms of synchronization phenomena in complex real-world systems and exploring control methods, and has greatly contributed to the development of fundamental science and technological applications related to synchronization phenomena. In this study, we formulated a phase reduction theory based on the semiclassical approximation of quantum systems for nonlinear oscillation phenomena in open quantum systems for the first time. Under the semiclassical approximation, we defined a phase variable for the deterministic limit cycle in the classical limit of the quantum system, systematically derived a one-dimensional stochastic differential equation for that phase variable, and formulated the phase reduction theory. As an example, we analyzed the synchronization phenomenon between a quantum limit cycle oscillator and a harmonic external force using the derived phase equation, and numerically demonstrated that the system synchronizes with the harmonic external force within an appropriate parameter range, and that the quantum state and power spectrum of the system can be approximately reconstructed. Furthermore, we formulated an optimization theory for quantum synchronization phenomena under the semiclassical approximation using the semiclassical phase reduction theory.
Global optimization of periodic waveforms in synchronization phenomena between nonlinear oscillators and periodic external forces.
Controlling synchronization phenomena is crucial in technological applications of synchronization, such as cardiac pacemakers. By using phase reduction theory, an optimization theory for controlling synchronization phenomena can be formulated. For example, in the synchronization phenomenon between a nonlinear oscillator and a periodic input, the optimal waveform of the periodic input can be analytically derived for optimization problems such as local maximization of the convergence rate. In this study, we propose a method for finding numerically optimal solutions to global and complex optimization problems for which analytical solutions are difficult to derive. More specifically, we formulated the optimization problem based on the Fourier series expansion of the periodic input and obtained the numerically optimal solution of its expansion coefficients using nonlinear programming. As an example, we derived numerically optimal solutions for two optimization problems: optimization to obtain a desired steady-state phase distribution and global maximization of the convergence rate, demonstrating its effectiveness.
Structure estimation and initial state generation of spin networks under limited access.
Spin network systems, consisting of multiple interacting quantum spins, are being actively studied as candidates for quantum information processing hardware. To maintain the stability and reliability of a spin network system when controlling it, it is necessary to know the system's structure beforehand and prepare an initial state. Furthermore, to reduce the impact of noise caused by system manipulation, the number of spins being manipulated must be minimized. This study proposes a method for estimating the graph structure of a spin network system using single-spin measurements and a method for generating a desired initial state. As an example, the effectiveness of the proposed method is demonstrated numerically in the case of five spins. By using these proposed methods, stable and reliable control of spin network systems can be achieved.
Major publications and papers
- Yuzuru Kato, Jinjie Zhu, Wataru Kurebayashi, Hiroya Nakao, Asymptotic phase and amplitude for classical and semiclassical stochastic oscillators via Koopman operator theory, Mathematics, Mathematics 9, 2188 (2021).
- Yuzuru Kato, Anatoly Zlotnik, Jr-Shin Li, Hiroya Nakao, Optimization of periodic input waveforms for global entrainment of weakly forced limit-cycle oscillators, Nonlinear Dynamics, 105, 2247‒2263 (2021).
- Yuzuru Kato, Hiroya Nakao, Quantum coherence resonance, New Journal of Physics, 23, 043018 1-10 (2021).
- Yuzuru Kato, Hiroya Nakao, Instantaneous phase synchronization of two decoupled quantum limit-cycle oscillators induced by conditional photon detection, Physical Review Research, 3, 013085 1-8 (2021).
- Yuzuru Kato, Hiroya Nakao, Enhancement of quantum synchronization via continuous measurement and feedback control, New Journal of Physics, 23, 013007 1-12 (2021).
- Yuzuru Kato, Hiroya Nakao, Semiclassical optimization of entrainment stability and phase coherence in weakly forced quantum limit-cycle oscillators, Physical Review E, 101, 012210 1-9 (2020).
- Yuzuru Kato, Naoki Yamamoto, Hiroya Nakao, Semiclassical phase reduction theory for quantum synchronization, Physical Review Research, 1, 033012 1-15 (2019).
- Yuzuru Kato, Naoki Yamamoto, Structure identification and state initialization of spin networks with limited access, New Journal of Physics, 16, 023024 1-19 (2014).
Research Contents
My research focuses on the analysis of real-world physical systems that exhibit nonlinear phenomena by using applied mathematics and numerical methods. My approach to these problems is based on concepts from physics as well as mathematical engineering, e.g., system modeling, dynamic analysis, signal processing, and controller design. I deal with both microscale phenomena described by quantum mechanics and macroscale phenomena described by classical mechanics. In particular, I’m interseterd in synchronization phenomena, which can be observed in various systems, such as atomic ensembles, spiking neurons, walking steps, and chemical reactions.
Attractive Factors of My Research
It is fun to elucidate the simple, universal mathematical structures underlying complex nonlinear phenomena, just like solving a difficult mathematical puzzle. Also, we can develop useful and versatile engineering methods based on these mathematical structures.
Achievements
Semiclassical phase reduction theory for quantum synchronization
We formulate the phase-reduction theory for quantum limit-cycle oscillators in the semiclassical regime. The phase-reduction theory has played a central role in analyzing the rhythmic dynamics of classical limit-cycle oscillators. This theory enables us to quantitatively approximate the dynamics of a nonlinear multi-dimensional limit-cycle oscillator by a simple one-dimensional phase equation, which has greatly facilitated systematic analysis of universal properties of limit-cycle oscillators, such as synchronization of oscillators with external periodic forcing, mutual synchronization between coupled oscillators, and the collective synchronization transition in a system of globally coupled phase oscillators. In this study, we generalize the conventional phase-reduction theory to quantum limit-cycle oscillators in the semiclassical regime where the quantum dynamics can be approximately described by a stochastic differential equation representing a system state in the phase space fluctuating along a deterministic classical trajectory due to small quantum noise. The developed semiclassical phase-reduction theory enables us to quantitatively approximate a quantum oscillator exhibiting stable limit-cycle oscillations by a simple one-dimensional phase equation, facilitating a systematic analysis of quantum synchronization in this regime. As a simple example, we analyze synchronization properties of a typical model of quantum limit-cycle oscillators subjected to a harmonic driving and approximately reconstruct the density matrix and power spectrum of the original quantum system from the reduced phase equation. Using the formulated semiclassical phase-reduction theory, we also consider optimal entrainment of a quantum nonlinear oscillator to a periodically modulated weak harmonic drive in the semiclassical regime.
Optimization of periodic input waveforms for global entrainment of weakly forced limit-cycle oscillators
We propose a general method for optimizing periodic input waveforms for global entrainment of weakly forced limit-cycle oscillators based on phase reduction and nonlinear programming. We derive averaged phase dynamics from the mathematical model of a limit-cycle oscillator driven by a weak periodic input and optimize the Fourier coefficients of the input waveform to maximize prescribed objective functions. In contrast to the optimization methods that rely on the calculus of variations, the proposed method can be applied to a wider class of optimization problems including global entrainment objectives. As an illustration, we consider two optimization problems, one for achieving fast global convergence of the oscillator to the entrained state and the other for realizing prescribed global phase distributions in a population of identical uncoupled noisy oscillators. We show that the proposed method can successfully yield optimal input waveforms to realize the desired states in both cases.
Structure identification and state initialization of spin networks with limited access
We provide two methods for structure identification and state initialization of spin networks accessible by only a single node. For reliable and consistent quantum information processing on quantum networks, the network structure must be fully known and a desired initial state must be accurately prepared on it. In this study, we provide two continuous measurement-based methods to achieve the above requirements for spin networks accessible by only a single node. First, we identify an unknown network graph structure based on continuous-time Bayesian updates. We numerically demonstrate that our graph estimator correctly identifies the true graph structure from five possible nominal graphs for three spin cases. Second, we propose a feedback control that deterministically drives an arbitrary mixed state to a spin-coherent state for network initialization. We numerically demonstrate that our feedback control can deterministically stabilize the spin-coherent states of the five spin networks.
Major Books and Papers
- Yuzuru Kato, Jinjie Zhu, Wataru Kurebayashi, Hiroya Nakao, Asymptotic phase and amplitude for classical and semiclassical stochastic oscillators via Koopman operator theory, Mathematics, Mathematics 9, 2188 (2021).
- Yuzuru Kato, Anatoly Zlotnik, Jr-Shin Li, Hiroya Nakao, Optimization of periodic input waveforms for global entrainment of weakly forced limit-cycle oscillators, Nonlinear Dynamics, 105, 2247‒2263 (2021).
- Yuzuru Kato, Hiroya Nakao, Quantum coherence resonance, New Journal of Physics, 23, 043018 1-10 (2021).
- Yuzuru Kato, Hiroya Nakao, Instantaneous phase synchronization of two decoupled quantum limit-cycle oscillators induced by conditional photon detection, Physical Review Research, 3, 013085 1-8 (2021).
- Yuzuru Kato, Hiroya Nakao, Enhancement of quantum synchronization via continuous measurement and feedback control, New Journal of Physics, 23, 013007 1-12 (2021).
- Yuzuru Kato, Hiroya Nakao, Semiclassical optimization of entrainment stability and phase coherence in weakly forced quantum limit-cycle oscillators, Physical Review E, 101, 012210 1-9 (2020).
- Yuzuru Kato, Naoki Yamamoto, Hiroya Nakao, Semiclassical phase reduction theory for quantum synchronization, Physical Review Research, 1, 033012 1-15 (2019).
- Yuzuru Kato, Naoki Yamamoto, Structure identification and state initialization of spin networks with limited access, New Journal of Physics, 16, 023024 1-19 (2014).
Research seeds related to this faculty member
Introduction to Complex Systems Research: Manipulating Complex Phenomena with Mathematics
field of study:
Mathematical Modeling Data science Nonlinear systemskeyword:
# Quantum Mechanics # System control # Synchronization phenomenon
















































