matrix product state
PulseAugur coverage of matrix product state — every cluster mentioning matrix product state across labs, papers, and developer communities, ranked by signal.
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Quantum Model Certification Cost Tied to Measurement Correlation, Not Parameters
This paper delves into the computational cost of certifying quantum models, proposing that measurement correlation, rather than parameter count, is the key factor. The research outlines a formula for estimating the circ…
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GenQAS framework uses generative replay to boost quantum architecture search
Researchers have developed GenQAS, a novel reinforcement learning framework designed to improve the efficiency of quantum architecture search. This framework utilizes generative replay, where a learned model creates syn…
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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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New Tensor Network Learning Approach Inspired by Quantum Physics
Researchers have introduced a new machine learning approach utilizing Tensor Networks, drawing inspiration from quantum many-body physics simulations. The proposed architecture, based on the matrix product state (MPS) o…
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Tensor Network ML framework maps wildfire risk with quantum insights
A new tensor network machine learning framework has been developed for mapping wildfire susceptibility, utilizing AlphaEarth embeddings and Matrix Product State models. This approach offers a quantum-inspired method for…
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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…
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New Sketch Tomography Method Enhances Quantum State Estimation
Researchers have developed a new quantum state tomography procedure called Sketch Tomography, which hybridizes the classical shadow protocol with Matrix Product States (MPS). This method estimates the tensor components …
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New algorithms offer efficient finite initialization for tensorized neural networks
Researchers have developed novel algorithms for initializing layers in tensorized neural networks and tensor network algorithms. These methods utilize partial computations of Frobenius norms and positive lineal entrywis…