Tree Tensor Network State with Variable Tensor Order: An Efficient Multireference Method for Strongly Correlated Systems
PulseAugur coverage of Tree Tensor Network State with Variable Tensor Order: An Efficient Multireference Method for Strongly Correlated Systems — every cluster mentioning Tree Tensor Network State with Variable Tensor Order: An Efficient Multireference Method for Strongly Correlated Systems across labs, papers, and developer communities, ranked by signal.
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New AWT method enhances LLM compression via activation-aware tensorization
Researchers have developed a new method called Activation-Aware Weight Tensorization (AWT) to improve the compression of large language models using tensor-network techniques. AWT acts as a calibration-time wrapper that…
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Parameterised graph theory applied to tensor networks for simulation and learning
Researchers have applied parameterised graph theory to tensor networks, exploring how graph parameters influence the complexity of simulating and learning these networks. The study demonstrates that cutwidth and tree-cu…
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Entanglement geometry constrains quantum circuit scalability and hardness
A new arXiv paper explores the relationship between entanglement geometry and the scalability of quantum computations. The research demonstrates that while certain quantum circuit families, like those using matrix produ…
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Quantum circuit entanglement geometry impacts cutting, hardness, and trainability
A new paper explores the entanglement geometry of quantum circuits to understand the trade-offs between circuit cutting, classical hardness, and trainability. The research demonstrates that while matrix product state an…