Holographic isoTNS represent volume-law entangled states including arbitrary fermionic Gaussian states, Clifford states, and certain short-time evolved states using an extra network dimension with isometric constraints.
Vidal, Efficient simulation of one-dimensional quantum many-body systems, Phys
4 Pith papers cite this work. Polarity classification is still indexing.
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A local transverse-field Ising model reproduces the Page curve through kinematic subsystem resizing, even with zero boundary coupling.
QFAMES is a quantum algorithm that identifies clusters of closely spaced dominant eigenvalues and their multiplicities in quantum Hamiltonians under physically motivated assumptions, enabling observable estimation within energy clusters.
Analytical predictions and MPS simulations show that magnetic fields or single-ion anisotropy can probe spinon interactions in the critical phase of the spin-1 bilinear-biquadratic chain.
citing papers explorer
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Holographic Representation of One-Dimensional Many-Body Quantum States via Isometric Tensor Networks
Holographic isoTNS represent volume-law entangled states including arbitrary fermionic Gaussian states, Clifford states, and certain short-time evolved states using an extra network dimension with isometric constraints.
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Kinematic Emergence of the Page Curve in a Local Transverse-Field Ising Model
A local transverse-field Ising model reproduces the Page curve through kinematic subsystem resizing, even with zero boundary coupling.
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Quantum Filtering and Analysis of Multiplicities in Eigenvalue Spectra
QFAMES is a quantum algorithm that identifies clusters of closely spaced dominant eigenvalues and their multiplicities in quantum Hamiltonians under physically motivated assumptions, enabling observable estimation within energy clusters.
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Probing spinon interactions in the spin-1 bilinear-biquadratic chain
Analytical predictions and MPS simulations show that magnetic fields or single-ion anisotropy can probe spinon interactions in the critical phase of the spin-1 bilinear-biquadratic chain.