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pro vyhledávání: '"Mori, Takashi"'
Stochastic gradient descent (SGD) is a frequently used optimization technique in classical machine learning and Variational Quantum Eigensolver (VQE). For the implementation of VQE on quantum hardware, the results are always affected by measurement s
Externí odkaz:
http://arxiv.org/abs/2406.09780
The local Gorini-Kossakowski-Sudarshan-Lindblad (GKSL) quantum master equation is a powerful tool for the study of open quantum many-body systems. However, its microscopic derivation applicable to many-body systems is available only in limited cases
Externí odkaz:
http://arxiv.org/abs/2404.14067
Autor:
Mori, Takashi
The Lindblad equation, which describes Markovian quantum dynamics under dissipation, is usually derived under the weak system-bath coupling assumption. Strong system-bath coupling often leads to non-Markov evolution. The singular-coupling limit is kn
Externí odkaz:
http://arxiv.org/abs/2404.10195
Autor:
Mori, Takashi
Recent experiments have reported that novel physics emerge in open quantum many-body sys- tems due to an interplay of interactions and dissipation, which stimulate theoretical studies of the many-body Lindblad equation. Although the strong dissipatio
Externí odkaz:
http://arxiv.org/abs/2311.10304
Autor:
Shirai, Tatsuhiko, Mori, Takashi
Publikováno v:
Phys. Rev. Lett. 133, 040201 (2024)
Markovian open many-body quantum systems display complicated relaxation dynamics. The spectral gap of the Liouvillian characterizes the asymptotic decay rate towards the stationary state, but it has recently been pointed out that the spectral gap doe
Externí odkaz:
http://arxiv.org/abs/2309.03485
Publikováno v:
Phys. Rev. B 109, 104311 (2024)
Dynamical many-body freezing occurs in periodic transverse field-driven integrable quantum spin systems. Under freezing conditions, quantum dynamics causes practically infinite hysteresis in the drive response, maintaining its starting value. We find
Externí odkaz:
http://arxiv.org/abs/2308.03622
Autor:
Mori, Takashi, Shirai, Tatsuhiko
Markovian open quantum systems display complicated relaxation dynamics. The spectral gap of the Liouvillian characterizes the asymptotic decay rate towards the steady state, but it does not necessarily give a correct estimate of the relaxation time b
Externí odkaz:
http://arxiv.org/abs/2212.06317
Publikováno v:
Annals of Physics 454, 169297 (2023)
Time-periodic (Floquet) driving is a powerful way to control the dynamics of complex systems, which can be used to induce a plethora of new physical phenomena. However, when applied to many-body systems, Floquet driving can also cause heating, and le
Externí odkaz:
http://arxiv.org/abs/2212.00041
Autor:
Mori, Takashi
In Floquet engineering, periodic driving is used to realize novel phases of matter which are inaccessible in thermal equilibrium. For this purpose, the Floquet theory provides us a recipe of obtaining a static effective Hamiltonian. Although many exi
Externí odkaz:
http://arxiv.org/abs/2203.16358
Autor:
Mori, Takashi, Ueda, Masahito
It has been recognized that heavily overparameterized deep neural networks (DNNs) exhibit surprisingly good generalization performance in various machine-learning tasks. Although benefits of depth have been investigated from different perspectives su
Externí odkaz:
http://arxiv.org/abs/2201.12082