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Time-evolution methods for matrix-product states

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arxiv 1901.05824 v3 pith:Y76Z5GFG submitted 2019-01-17 cond-mat.str-el cond-mat.stat-mechquant-ph

classification cond-mat.str-elcond-mat.stat-mechquant-ph
keywords matrix-productmethodsmethodstateswilldifferentkrylovquantum
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

Matrix-product states have become the de facto standard for the representation of one-dimensional quantum many body states. During the last few years, numerous new methods have been introduced to evaluate the time evolution of a matrix-product state. Here, we will review and summarize the recent work on this topic as applied to finite quantum systems. We will explain and compare the different methods available to construct a time-evolved matrix-product state, namely the time-evolving block decimation, the MPO $W^\mathrm{II}$ method, the global Krylov method, the local Krylov method and the one- and two-site time-dependent variational principle. We will also apply these methods to four different representative examples of current problem settings in condensed matter physics.

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  1. Quantum Solvers: Predictive Aeroacoustic & Aerodynamic modeling

    quant-ph 2025-07 conditional novelty 4.0 of 10

    The paper archives a winning Airbus/BMW challenge solution that compresses CFD operators into matrix product states and quantum circuits, reporting 0.1%-accurate cylinder flow at compression greater than 10.

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