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Yuto Sugimoto (Tohoku University)24/08/2026, 15:00
We investigate the two-dimensional classical ANNNI model using the tensor renormalization group method. At finite next-nearest-neighbor interactions, the model is predicted to exhibit a critical phase known as the floating phase. In this study, we employ the bond-weighted tensor renormalization group method to investigate the floating phase. Using bond dimensions up to D=240, together with a...
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Kaito Wada (International Center for Elementary Particle Physics, The University of Tokyo)24/08/2026, 15:20
Probing ground-state properties is central to understanding quantum matter, yet conventional approaches usually require many independently prepared copies. This becomes prohibitive when ground-state preparation is costly and only a limited number of copies are available. Here we introduce a coherent readout protocol that processes given $P$ ground-state copies in parallel using controlled...
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Seishiro Ono (Institute for Solid State Physics, University of Tokyo)25/08/2026, 11:20
Accurate contraction of tensor networks beyond one dimension is essential in various fields including quantum many-body physics. However, existing approaches typically rely on approximate contraction schemes and do not provide certified error bars. In this talk, we introduce an alternative perspective on tensor-network contraction problems via the numerical bootstrap framework. This technique...
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Dr Donghoon Kim (RIKEN)25/08/2026, 11:40
Understanding the complexity of quantum many-body states requires control not only over entanglement entropy but also over the distribution of entanglement across the Schmidt spectrum. The Small-Incremental-Entangling (SIE) theorem provides a remarkably general bound on the rate of change of bipartite von Neumann entanglement entropy, yet leaves this finer spectral structure unresolved. In...
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Zhiyu Jiang (The University of Osaka)25/08/2026, 12:00
We introduce a gauge-propagation approach for approximately converting generic tensor-network states into an isometric tensor-network state form with a prescribed orthogonality center. In one dimension, this propagation is exact because the non-isometric factor produced by a QR or singular-value decomposition is supported on a single virtual bond. In higher-dimensional networks, however, a...
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Prof. Kouichi Okunishi (Department of Physics, Graduate School of Science, Osaka Metropolitan University)25/08/2026, 15:00
We discuss the angular-time evolution ---a parameter-time evolution generated by the entanglement Hamiltonian--- for the bipartitioned ground state of the S=1 bilinear–biquadratic chain under open boundary conditions. For the exactly sobvable AKLT chain, we first demonstrate the relationship between the angular-time evolution and edge-spin dynamics in a uniform magnetic field applied to the...
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Fengfeng Song (ISSP UTokyo)25/08/2026, 15:20
Genuine multipartite entanglement captures collective quantum correlations that cannot be described by convex mixtures of states separable across different bipartitions. Quantifying such correlations in quantum many-body states is essential for characterizing their irreducibly collective quantum structure and assessing their potential as multipartite quantum resources, yet remains...
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Alessandro Sinibaldi (EPFL)27/08/2026, 11:20
Thermalization in strongly correlated fermionic systems remains a central open problem in quantum many-body physics.
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In this work, we investigate the real-time dynamics and the approach to thermalization in the two-dimensional Hubbard model, a paradigmatic framework for correlated electrons, relevant to high-temperature superconductivity and ultracold quantum simulation.
Focusing on the... -
Wei-Lin Tu (Keio University)27/08/2026, 11:40
High-dimensional correlations present a monumental challenge in both quantum physics and deep learning, typically requiring exponential computational resources or excessively deep architectures to resolve. This talk highlights low-rank tensor structures as a unifying solution to conquer complexity across these two distinct domains. First, we pivot to highly frustrated magnetism...
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Yoshitomo Kamiya (Okinawa Institute of Science and Technology)27/08/2026, 12:00
A faithful reconstruction of a quantum many-body state enables the inference of physical properties not directly accessible from the input marginals. Achieving such predictive reconstruction is challenging because a tractable set of reduced density matrices does not generally determine the global state uniquely, and the many-body Hilbert space grows exponentially with system size. Here we...
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Chia-Min Chung (NYCU)27/08/2026, 15:00
We present an approach to solve two-fermion problems using the Quantic Tensor Train (QTT) method. The QTT format allows us to represent high-resolution wavefunctions and operators with a memory cost that only scales logarithmically with the number of grid points. We demonstrate our method by showing our calculations on the ground state of a hydrogen molecule ($H_2$) and its quantum dynamics...
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Akira Matsumoto (Osaka Metropolitan University)27/08/2026, 15:20
The matrix product state (MPS) can efficiently approximate low-entanglement states in 1D quantum many-body systems. However, applications to the gapless phase, periodic boundary case, and higher-dimensional systems are limited due to rapid growth of entanglement. Recently, Clifford-circuit-augmented MPS has been proposed as a hybrid ansatz of the Clifford circuit and MPS. The Clifford circuit...
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Shimpei Yamaguchi (Keio University)28/08/2026, 11:20
Hypothesis testing is a fundamental framework for making decisions between competing explanations of a system on the basis of observed data. In quantum information science, it underlies tasks such as signal detection, quantum sensing, communication, and the verification of quantum devices, where one must infer which quantum state or physical process generated the observed measurement outcomes....
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Chia-Ho Ou (Graduate School of Information Sciences, Tohoku University, Sendai, Japan)28/08/2026, 11:40
Under increasing environmental pressures, ecological corridor planning is vital for maintaining habitat connectivity. However, traditional approaches such as Minimum Cumulative Resistance (MCR) often generate singular, line-like paths that are highly vulnerable to local disruptions. In this study, we reformulate corridor design as a Quadratic Unconstrained Binary Optimization (QUBO) problem,...
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Ms Shih-Han Huang (National Pingtung University)28/08/2026, 12:00
High-order combinations of genetic and environmental factors may reveal risk-associated subgroups in oral malignant disorders, but their exhaustive evaluation grows combinatorially, while heuristic methods provide no guarantee of global optimality. We formulate corrected-odds-ratio barcode discovery as a feature-level fractional quadratic unconstrained binary optimization (QUBO) problem....
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Wojciech Roga (Keio University)28/08/2026, 15:00
Bell-state measurements are central to photonic quantum information with applications in quantum teleportation, entanglement swapping, quantum repeaters, dense coding, and fusion-based photonic quantum computation. A passive linear optical interferometer with vacuum auxiliary modes and photon number resolving detectors can unambiguously identify at most two of the four equiprobable Bell states...
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Tomohiro Hattori (Keio University)28/08/2026, 15:20
Constrained combinatorial optimization problems (CCOPs) arise in a wide range of practical applications. Quantum optimization methods have attracted considerable attention as heuristic approaches to solving these problems. Because current quantum hardware is limited by short coherence times and gate errors, optimization methods based on relatively short quantum evolutions are desirable....
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