001     1044979
005     20251104202044.0
024 7 _ |a 10.34734/FZJ-2025-03469
|2 datacite_doi
037 _ _ |a FZJ-2025-03469
041 _ _ |a English
100 1 _ |a Vyas, Kunal
|0 P:(DE-Juel1)191568
|b 0
|e Corresponding author
|u fzj
111 2 _ |a NIC Symposium 2025
|c Jülich
|d 2025-03-06 - 2025-03-07
|w Germany
245 _ _ |a Studying the scaling behavior of quantum annealing to find the ground-state of the 1D Hubbard model
260 _ _ |c 2025
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
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336 7 _ |a conferenceObject
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336 7 _ |a CONFERENCE_POSTER
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520 _ _ |a The Fermi-Hubbard model has occupied the minds of condensed matter physicists for most part of the last century. With a simplistic form of the Hamiltonian, the model can potentially provide explanation to interesting phenomena in correlated electrons. The interest of our current work is the model in one dimension. The one-dimensional Fermi-Hubbard model has been extensively studied and there exist analytical results for determining its ground-state energy in the thermodynamic limit. We want to find the ground-state from the perspective of quantum computing. In particular, we employ the protocol of quantum annealing and perform high performance simulations of the same using the Juelich Quantum Computer Simulator (JUQCS) for systems with upto 40 qubits. We learn that the time required to find the ground-state would scale sublinearly with system size for the half-filling cases considered.
536 _ _ |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
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536 _ _ |a DFG project G:(GEPRIS)397300368 - Dekohärenz und Relaxation in Quantenspinclustern (397300368)
|0 G:(GEPRIS)397300368
|c 397300368
|x 1
700 1 _ |a Jin, Fengping
|0 P:(DE-Juel1)144355
|b 1
|u fzj
700 1 _ |a Michielsen, Kristel
|0 P:(DE-Juel1)138295
|b 2
|u fzj
856 4 _ |u https://juser.fz-juelich.de/record/1044979/files/nic_poster_vyas.pdf
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909 C O |o oai:juser.fz-juelich.de:1044979
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
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|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
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|v Enabling Computational- & Data-Intensive Science and Engineering
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914 1 _ |y 2025
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