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Tensor networks for quantum computing

Fuente: arXiv

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Hauptverfasser:	Berezutskii, Aleksandr, Liu, Minzhao, Acharya, Atithi, Ellerbrock, Roman, Gray, Johnnie, Haghshenas, Reza, He, Zichang, Khan, Abid, Kuzmin, Viacheslav, Lyakh, Dmitry, Lykov, Danylo, Mandrà, Salvatore, Mansell, Christopher, Melnikov, Alexey, Melnikov, Artem, Mironov, Vladimir, Morozov, Dmitry, Neukart, Florian, Nocera, Alberto, Perlin, Michael A., Perelshtein, Michael, Steinberg, Matthew, Shaydulin, Ruslan, Villalonga, Benjamin, Pflitsch, Markus, Pistoia, Marco, Vinokur, Valerii, Alexeev, Yuri
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Quantum Physics
Online-Zugang:	Acceder al recurso
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_version_	1866911457554202624
author	Berezutskii, Aleksandr Liu, Minzhao Acharya, Atithi Ellerbrock, Roman Gray, Johnnie Haghshenas, Reza He, Zichang Khan, Abid Kuzmin, Viacheslav Lyakh, Dmitry Lykov, Danylo Mandrà, Salvatore Mansell, Christopher Melnikov, Alexey Melnikov, Artem Mironov, Vladimir Morozov, Dmitry Neukart, Florian Nocera, Alberto Perlin, Michael A. Perelshtein, Michael Steinberg, Matthew Shaydulin, Ruslan Villalonga, Benjamin Pflitsch, Markus Pistoia, Marco Vinokur, Valerii Alexeev, Yuri
author_facet	Berezutskii, Aleksandr Liu, Minzhao Acharya, Atithi Ellerbrock, Roman Gray, Johnnie Haghshenas, Reza He, Zichang Khan, Abid Kuzmin, Viacheslav Lyakh, Dmitry Lykov, Danylo Mandrà, Salvatore Mansell, Christopher Melnikov, Alexey Melnikov, Artem Mironov, Vladimir Morozov, Dmitry Neukart, Florian Nocera, Alberto Perlin, Michael A. Perelshtein, Michael Steinberg, Matthew Shaydulin, Ruslan Villalonga, Benjamin Pflitsch, Markus Pistoia, Marco Vinokur, Valerii Alexeev, Yuri
contents	In the rapidly evolving field of quantum computing, tensor networks serve as an important tool due to their multifaceted utility. In this paper, we review the diverse applications of tensor networks and show that they are an important instrument for quantum computing. Specifically, we summarize the application of tensor networks in various domains of quantum computing, including simulation of quantum computation, quantum circuit synthesis, quantum error correction and mitigation, and quantum machine learning. Finally, we provide an outlook on the opportunities and the challenges of the tensor-network techniques.
format	Preprint
id	arxiv_https___arxiv_org_abs_2503_08626
institution	arXiv
publishDate	2025
record_format	arxiv
spellingShingle	Tensor networks for quantum computing Berezutskii, Aleksandr Liu, Minzhao Acharya, Atithi Ellerbrock, Roman Gray, Johnnie Haghshenas, Reza He, Zichang Khan, Abid Kuzmin, Viacheslav Lyakh, Dmitry Lykov, Danylo Mandrà, Salvatore Mansell, Christopher Melnikov, Alexey Melnikov, Artem Mironov, Vladimir Morozov, Dmitry Neukart, Florian Nocera, Alberto Perlin, Michael A. Perelshtein, Michael Steinberg, Matthew Shaydulin, Ruslan Villalonga, Benjamin Pflitsch, Markus Pistoia, Marco Vinokur, Valerii Alexeev, Yuri Quantum Physics In the rapidly evolving field of quantum computing, tensor networks serve as an important tool due to their multifaceted utility. In this paper, we review the diverse applications of tensor networks and show that they are an important instrument for quantum computing. Specifically, we summarize the application of tensor networks in various domains of quantum computing, including simulation of quantum computation, quantum circuit synthesis, quantum error correction and mitigation, and quantum machine learning. Finally, we provide an outlook on the opportunities and the challenges of the tensor-network techniques.
title	Tensor networks for quantum computing
topic	Quantum Physics
url	https://arxiv.org/abs/2503.08626