Tensor Network Studies on Steady States of one-dimensional Infinite-size Dissipative Quantum Chain

碩士 === 國立臺灣大學 === 物理學研究所 === 104 === Using tensor netwrok to simulate quantum system has been rapidly developed recently. A well-developed tensor network algorithm called infinite time-evolving block decimation (iTEBD) allows us to find the ground state and detect the phase transitions of various qu...

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Main Authors: TE I, 易德
Other Authors: Ying-Jer Kao
Format: Others
Language:en_US
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/51822585938654656016
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spelling ndltd-TW-104NTU051980282017-05-14T04:32:18Z http://ndltd.ncl.edu.tw/handle/51822585938654656016 Tensor Network Studies on Steady States of one-dimensional Infinite-size Dissipative Quantum Chain 張量網絡演算法研究一維無限長耗散量子鏈的穩定態 TE I 易德 碩士 國立臺灣大學 物理學研究所 104 Using tensor netwrok to simulate quantum system has been rapidly developed recently. A well-developed tensor network algorithm called infinite time-evolving block decimation (iTEBD) allows us to find the ground state and detect the phase transitions of various quantum systems with great accuracy. In this work, we show that using iTEBD we can also determine the nonequilibrium steady states of one-dimensional dissipative quantum lattices in the thermodynamic limit. Besides conventional iTEBD algorithm, we propose some improvements on this algorithm, including four-local gate evolving block operator and k-th root on evolving block operator. By this means, we make the iTEBD algorithm more suitable for simulating dissipative quantum system. The primary benefit of using iTEBD algorithm on dssipative quantum systems is allowing one to bypass the potentially high entanglement during the transient dynamis of real time evolution to the steady states. We provide a demonstration with the transversed dissipative quantum Ising chain. We validate our results using real time evolution and some numerical methods. Ying-Jer Kao 高英哲 2016 學位論文 ; thesis 66 en_US
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description 碩士 === 國立臺灣大學 === 物理學研究所 === 104 === Using tensor netwrok to simulate quantum system has been rapidly developed recently. A well-developed tensor network algorithm called infinite time-evolving block decimation (iTEBD) allows us to find the ground state and detect the phase transitions of various quantum systems with great accuracy. In this work, we show that using iTEBD we can also determine the nonequilibrium steady states of one-dimensional dissipative quantum lattices in the thermodynamic limit. Besides conventional iTEBD algorithm, we propose some improvements on this algorithm, including four-local gate evolving block operator and k-th root on evolving block operator. By this means, we make the iTEBD algorithm more suitable for simulating dissipative quantum system. The primary benefit of using iTEBD algorithm on dssipative quantum systems is allowing one to bypass the potentially high entanglement during the transient dynamis of real time evolution to the steady states. We provide a demonstration with the transversed dissipative quantum Ising chain. We validate our results using real time evolution and some numerical methods.
author2 Ying-Jer Kao
author_facet Ying-Jer Kao
TE I
易德
author TE I
易德
spellingShingle TE I
易德
Tensor Network Studies on Steady States of one-dimensional Infinite-size Dissipative Quantum Chain
author_sort TE I
title Tensor Network Studies on Steady States of one-dimensional Infinite-size Dissipative Quantum Chain
title_short Tensor Network Studies on Steady States of one-dimensional Infinite-size Dissipative Quantum Chain
title_full Tensor Network Studies on Steady States of one-dimensional Infinite-size Dissipative Quantum Chain
title_fullStr Tensor Network Studies on Steady States of one-dimensional Infinite-size Dissipative Quantum Chain
title_full_unstemmed Tensor Network Studies on Steady States of one-dimensional Infinite-size Dissipative Quantum Chain
title_sort tensor network studies on steady states of one-dimensional infinite-size dissipative quantum chain
publishDate 2016
url http://ndltd.ncl.edu.tw/handle/51822585938654656016
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