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301
Many-Body Magic Via Pauli-Markov Chains—From Criticality to Gauge Theories
Published 2023-10-01“…We describe an efficient sampling procedure using tree tensor networks, that exploit their hierarchical structure leading to a modest O(logN) computational scaling with system size. …”
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302
Learning nonequilibrium statistical mechanics and dynamical phase transitions
Published 2024-02-01“…While a number of methods have been proposed, such as tensor networks for one-dimensional lattices, we lack a method for arbitrary time beyond the steady state and for higher dimensions. …”
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303
From Non-Markovian Dissipation to Spatiotemporal Control of Quantum Nanodevices
Published 2024-04-01“…Exploiting numerically exact many body methods (tensor networks) we study a fully quantum model that allows us to explore how propagating environmental dynamics can instigate and direct the evolution of spatially remote, non-interacting quantum systems. …”
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304
Measurement-Induced Phase Transitions on Dynamical Quantum Trees
Published 2023-09-01“…Recent work made progress in the context of tree tensor networks, which can be related to all-to-all quantum circuit dynamics with forced (postselected) measurement outcomes. …”
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305
Optimal parameter configurations for sequential optimization of the variational quantum eigensolver
Published 2023-11-01“…Sequential optimization methods, which are often used in quantum circuit tensor networks, are popular for optimizing the parameterized gates of PQCs. …”
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306
Deterministic Constant-Depth Preparation of the AKLT State on a Quantum Processor Using Fusion Measurements
Published 2023-04-01“…We elucidate our preparation scheme using the language of tensor networks and, furthermore, show that the Z_{2}×Z_{2} symmetry of the AKLT state directly affords this speed-up over previously known preparation methods. …”
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307
Local constants of motion imply information propagation
Published 2015-01-01“…We perform a detailed perturbation analysis of quasi-local constants of motion and also show that they indeed can be used to construct efficient spectral tensor networks, as recently suggested. Our results provide a detailed and at the same time model-independent picture of information propagation in MBL systems.…”
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308
MS-TR: A Morphologically enriched sentiment Treebank and recursive deep models for compositional semantics in Turkish
Published 2021-01-01“…Comparative results were obtained with the Recursive Neural Tensor Networks (RNTN) model which is operated over MS-TR, and conventional machine learning methods. …”
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309
Non-Parametric Semi-Supervised Learning in Many-Body Hilbert Space with Rescaled Logarithmic Fidelity
Published 2022-03-01“…The proposed QIKF and semi-supervised algorithm can be further combined with the parametric models such as tensor networks, quantum circuits, and quantum neural networks.…”
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310
Constrained HRT Surfaces and their Entropic Interpretation
Published 2024-02-01“…Our results are relevant to some of the issues associated with attempts to use standard random tensor networks to describe time dependent geometries.…”
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311
Geometric entanglement in topologically ordered states
Published 2014-01-01“…Additionally we relate our results to the behaviour of the relative entropy of entanglement in topologically ordered systems, and discuss a number of numerical approaches based on tensor networks that could be employed to extract this topological contribution for large systems beyond exactly solvable models.…”
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312
An Improved Bees Algorithm for Training Deep Recurrent Networks for Sentiment Classification
Published 2021-07-01“…The performance of the RNN model with BA-3+ has as good as for Tree-LSTMs and Recursive Neural Tensor Networks (RNTNs) language models, which achieved accuracy results of up to 90% for some datasets. …”
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