001     1050560
005     20260113204525.0
024 7 _ |a 10.48550/ARXIV.2504.10298
|2 doi
037 _ _ |a FZJ-2026-00317
100 1 _ |a Lange, F.
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Cross-talk in superconducting qubit lattices with tunable couplers -- comparing transmon and fluxonium architectures
260 _ _ |c 2025
|b arXiv
336 7 _ |a Preprint
|b preprint
|m preprint
|0 PUB:(DE-HGF)25
|s 1768309529_19070
|2 PUB:(DE-HGF)
336 7 _ |a WORKING_PAPER
|2 ORCID
336 7 _ |a Electronic Article
|0 28
|2 EndNote
336 7 _ |a preprint
|2 DRIVER
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a Output Types/Working Paper
|2 DataCite
520 _ _ |a Cross-talk between qubits is one of the main challenges for scaling superconducting quantum processors. Here, we use the density-matrix renormalization-group to numerically analyze lattices of superconducting qubits from a perspective of many-body localization. Specifically, we compare different architectures that include tunable couplers designed to decouple qubits in the idle state, and calculate the residual ZZ interactions as well as the inverse participation ratio in the computational basis states. For transmon qubits outside of the straddling regime, the results confirm that tunable C-shunt flux couplers are significantly more efficient in mitigating the ZZ interactions than tunable transmons. A recently proposed fluxonium architecture with tunable transmon couplers is demonstrated to also maintain its strong suppression of the ZZ interactions in larger systems, while having a higher inverse participation ratio in the computational basis states than lattices of transmon qubits. Our results thus suggest that fluxonium architectures may feature lower cross talk than transmon lattices when designed to achieve similar gate speeds and fidelities.
536 _ _ |a 5221 - Advanced Solid-State Qubits and Qubit Systems (POF4-522)
|0 G:(DE-HGF)POF4-5221
|c POF4-522
|f POF IV
|x 0
588 _ _ |a Dataset connected to DataCite
650 _ 7 |a Quantum Physics (quant-ph)
|2 Other
650 _ 7 |a FOS: Physical sciences
|2 Other
700 1 _ |a Heunisch, L.
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Fehske, H.
|0 P:(DE-HGF)0
|b 2
700 1 _ |a DiVincenzo, D. P.
|0 P:(DE-Juel1)143759
|b 3
|u fzj
700 1 _ |a Hartmann, M. J.
|0 P:(DE-HGF)0
|b 4
773 _ _ |a 10.48550/ARXIV.2504.10298
909 C O |o oai:juser.fz-juelich.de:1050560
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)143759
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-522
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Quantum Computing
|9 G:(DE-HGF)POF4-5221
|x 0
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)PGI-2-20110106
|k PGI-2
|l Theoretische Nanoelektronik
|x 0
980 _ _ |a preprint
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)PGI-2-20110106
980 _ _ |a UNRESTRICTED


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