Optimization schemes for unitary tensor-network circuit

Reza Haghshenas

doi:10.1103/physrevresearch.3.023148

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arXiv · 2009.02606

Optimization schemes for unitary tensor-network circuit

Reza Haghshenas

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Abstract

We discuss the variational optimization of a unitary tensor-network circuit with different network structures. The ansatz is performed based on a generalization of well-developed multi-scale entanglement renormalization algorithm and also the conjugate-gradient method with an effective line search. We present the benchmarking calculations for different network structures by studying the Heisenberg model in a strongly disordered magnetic field and a tensor-network $QR$-decomposition.

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Reza Haghshenas. 2020-09-05. Optimization schemes for unitary tensor-network circuit. https://doi.org/10.1103/physrevresearch.3.023148

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