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Low crosstalk in a scalable superconducting quantum lattice

Abstract:
Superconducting quantum circuits are a key platform for advancing quantum information processing and simulation. Scaling efforts currently encounter challenges such as Josephson-junction fabrication yield, design frequency targeting, and long-range crosstalk arising both from spurious microwave modes and intrinsic interactions between qubits. We demonstrate a scalable 4x4 square lattice with low crosstalk, comprising 16 fixed-frequency transmon qubits with nearest-neighbor capacitive coupling that is implemented in a tileable, 3D-integrated circuit architecture with off-chip inductive shunting to mitigate spurious enclosure modes. We report on the design and comprehensive characterization, and show that our implementation achieves targeted device parameters with very low frequency spreads, long-range parasitic couplings and simultaneous single-qubit gate errors across the device. Our results provide a promising pathway toward a scalable superconducting square lattice topology for quantum error correction and simulation.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1140/epjqt/s40507-026-00465-3

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Physics - Central
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Physics - Central
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Physics - Central
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Physics - Central
Role:
Author


More from this funder
Funder identifier:
https://ror.org/0439y7842
Grant:
EP/W024772/1


Publisher:
SpringerOpen
Journal:
EPJ Quantum Technology More from this journal
Volume:
13
Issue:
1
Article number:
19
Publication date:
2026-01-26
Acceptance date:
2026-01-05
DOI:
EISSN:
2196-0763
ISSN:
2662-4400


Language:
English
Keywords:
Source identifiers:
3773654
Deposit date:
2026-02-18
ARK identifier:
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