國立虎尾科技大學 |

Sparse-Tensor Methods in Physics.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Sparse-Tensor Methods in Physics./
Author:	Candanedo, Julio J.
Description:	1 online resource (216 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-06, Section: B.
Contained By:	Dissertations Abstracts International85-06B.
Subject:	Physics. -
Online resource:	click for full text (PQDT)
ISBN:	9798381159998

Sparse-Tensor Methods in Physics.
Candanedo, Julio J.

Sparse-Tensor Methods in Physics. - 1 online resource (216 pages)

Source: Dissertations Abstracts International, Volume: 85-06, Section: B.

Thesis (Ph.D.)--Arizona State University, 2023.

Includes bibliographical references

In this thesis, applications of sparsity, specifically sparse-tensors are motivated in physics. An algorithm is introduced to natively compute sparse-tensor's partial-traces, along with direct implementations in popular python libraries for immediate use. These applications include the infamous exponentially-scaling (with system size) Quantum-Many-Body problems (both Heisenberg/spin-chain-like and Chemical Hamiltonian models). This sparsity aspect is stressed as an important and essential feature in solving many real-world physical problems approximately-and-numerically. These include the original motivation of solving radiation-damage questions for ultrafast light and electron sources.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798381159998Subjects--Topical Terms:

564049
Physics.
Subjects--Index Terms:

Partial-tracingIndex Terms--Genre/Form:

554714
Electronic books.

Sparse-Tensor Methods in Physics.
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100 1 $a Candanedo, Julio J. $3 1468420
245 1 0 $a Sparse-Tensor Methods in Physics.
264 0 $c 2023
300 $a 1 online resource (216 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 85-06, Section: B.
500 $a Advisor: Beckstein, Oliver;Arenz, Christian.
502 $a Thesis (Ph.D.)--Arizona State University, 2023.
504 $a Includes bibliographical references
520 $a In this thesis, applications of sparsity, specifically sparse-tensors are motivated in physics. An algorithm is introduced to natively compute sparse-tensor's partial-traces, along with direct implementations in popular python libraries for immediate use. These applications include the infamous exponentially-scaling (with system size) Quantum-Many-Body problems (both Heisenberg/spin-chain-like and Chemical Hamiltonian models). This sparsity aspect is stressed as an important and essential feature in solving many real-world physical problems approximately-and-numerically. These include the original motivation of solving radiation-damage questions for ultrafast light and electron sources.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Physics. $3 564049
650 4 $a Chemistry. $3 593913
650 4 $a Computer science. $3 573171
653 $a Partial-tracing
653 $a Sparse-tensors
653 $a Tensor-networks
653 $a Radiation-damage
653 $a Physical problems
655 7 $a Electronic books. $2 local $3 554714
690 $a 0605
690 $a 0485
690 $a 0984
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Arizona State University. $b Physics. $3 1179833
773 0 $t Dissertations Abstracts International $g 85-06B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30691579 $z click for full text (PQDT)