Entanglement Dynamics of the Non-Unitary Holographic Channel

Kavli Affiliate: Masahiro Nozaki | First 5 Authors: Kanato Goto, Masahiro Nozaki, Kotaro Tamaoka, Mao Tian Tan, | Summary: We study the dynamical properties of a strongly scrambling quantum circuit involving a projective measurement on a finite-sized region by studying the operator entanglement entropy and mutual information (OEE and BOMI) of the dual operator state […]


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Spin hydrodynamic generation in unsteady flows

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Takumi Funato, Mamoru Matsuo, , , | Summary: We theoretically investigate a spin-mediated conversion from fluid dynamics to voltage, known as spin hydrodynamic generation (SHDG), in oscillatory and transient unsteady flows. We consider unsteady flows of liquid metal between two parallel infinite planes and then calculate its […]


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Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities

Kavli Affiliate: Cheng Peng | First 5 Authors: Hongwei Chen, Sathya R. Chitturi, Rajan Plumley, Lingjia Shen, Nathan C. Drucker | Summary: The advent of next-generation X-ray free electron lasers will be capable of delivering X-rays at a repetition rate approaching 1 MHz continuously. This will require the development of data systems to handle experiments […]


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Traces of Electron-Phonon Coupling in One-Dimensional Cuprates

Kavli Affiliate: Cheng Peng | First 5 Authors: Ta Tang, Brian Moritz, Cheng Peng, Z. X. Shen, Thomas P. Devereaux | Summary: The appearance of certain spectral features in one-dimensional (1D) cuprate materials has been attributed to a strong, extended attractive coupling between electrons. Here, using time-dependent density matrix renormalization group methods on a Hubbard-extended […]


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Superconductivity in doped triangular Mott insulators: the roles of parent spin backgrounds and charge kinetic energy

Kavli Affiliate: Zheng Zhu | First 5 Authors: Zheng Zhu, Qianqian Chen, , , | Summary: We study the prerequisites for realizing superconductivity in doped triangular-lattice Mott insulators by considering three distinct parent spin backgrounds, i.e., $120^{circ}$ antiferromagnets, quantum spin liquid, and stripy antiferromagnets, and all possible sign combinations $(tau_1, tau_2)$ of nearest-neighbor hopping and […]


Continue.. Superconductivity in doped triangular Mott insulators: the roles of parent spin backgrounds and charge kinetic energy

Superconductivity in doped triangular Mott insulators: the roles of parent spin backgrounds and charge kinetic energy

Kavli Affiliate: Zheng Zhu | First 5 Authors: Zheng Zhu, Qianqian Chen, , , | Summary: We study the prerequisites for realizing superconductivity in doped triangular-lattice Mott insulators by considering three distinct parent spin backgrounds, i.e., $120^{circ}$ antiferromagnets, quantum spin liquid, and stripy antiferromagnets, and all possible sign combinations $(tau_1, tau_2)$ of nearest-neighbor hopping and […]


Continue.. Superconductivity in doped triangular Mott insulators: the roles of parent spin backgrounds and charge kinetic energy

Superconductivity in doped triangular Mott insulators: the roles of parent spin backgrounds and charge kinetic energy

Kavli Affiliate: Zheng Zhu | First 5 Authors: Zheng Zhu, Qianqian Chen, , , | Summary: We study the prerequisites for realizing superconductivity in doped triangular-lattice Mott insulators by considering three distinct parent spin backgrounds, i.e., $120^{circ}$ antiferromagnets, quantum spin liquid, and stripy antiferromagnets, and all possible sign combinations $(tau_1, tau_2)$ of nearest-neighbor hopping and […]


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OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions

Kavli Affiliate: Zheng Zhu | First 5 Authors: Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu | Summary: The pretrain-finetune paradigm in modern computer vision facilitates the success of self-supervised learning, which tends to achieve better transferability than supervised learning. However, with the availability of massive labeled data, a natural question emerges: how […]


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