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  Tensor networks and efficient descriptions of classical data

Lu, S., Kanasz-Nagy, M., Kukuljan, I., & Cirac, J. I. (submitted). Tensor networks and efficient descriptions of classical data.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-A268-A Version Permalink: https://hdl.handle.net/21.11116/0000-000A-A269-9
Genre: Preprint
Other : Preprint arXiv: 2103.06872 Submitted on 11 Mar 2021

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6306.pdf (Preprint), 483KB
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 Creators:
Lu, Sirui1, 2, Author           
Kanasz-Nagy, Marton1, 2, Author           
Kukuljan, Ivan1, 2, Author           
Cirac, J. Ignacio1, 2, Author           
Affiliations:
1Theory, Max Planck Institute of Quantum Optics, Max Planck Society, ou_1445571              
2MCQST - Munich Center for Quantum Science and Technology, External Organizations, ou_3330166              

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Language(s): eng - English
 Dates: 2021-03-11
 Publication Status: Submitted
 Pages: -
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 Rev. Type: -
 Identifiers: arXiv: 2103.06872
 Degree: -

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Project name : ERC Advanced Grant QUENOCOBA
Grant ID : 742102
Funding program : EU Horizon 2020 program
Funding organization : European Commission (EC)
Project name : Project number 414325145 in the framework of the Austrian Science Fund (FWF): SFB F7104
Grant ID : -
Funding program : -
Funding organization : Deutsche Forschungsgemeinschaft (DFG, German Research Foundation
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Funding organization : Max-Planck-Harvard Research Center for Quantum Optics (MPHQ)

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