2025-11-25 10:41 |
[FZJ-2025-04664]
Preprint
Jiang, Z. ; Geisert, S. ; Ihssen, S. ; et al
Enabling full localization of qubits and gates with a multi-mode coupler
Tunable couplers are a key building block of superconducting quantum processors, enabling high on-off ratios for two-qubit entangling interactions. While crosstalk can be mitigated in idle mode, conventional single-mode couplers lack independent control over interactions in the one- and two-excitation manifolds, leading to unitary errors such as leakage during gate operations. [...]
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2025-11-25 10:00 |
[FZJ-2025-04656]
Preprint
Xu, X. ; Wang, S. ; Joshi, R. ; et al
Parity Cross-Resonance: A Multiqubit Gate
[arXiv:2508.10807]
We present a native three-qubit entangling gate that exploits engineered interactions to realize control-control-target and control-target-target operations in a single coherent step. Unlike conventional decompositions into multiple two-qubit gates, our hybrid optimization approach selectively amplifies desired interactions while suppressing unwanted couplings, yielding robust performance across the computational subspace and beyond. [...]
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2025-11-25 09:59 |
[FZJ-2025-04654]
Preprint
Xu, X. ; Kaur, K. ; Vignes, C. ; et al
Surface-Code Hardware Hamiltonian
[arXiv:2507.06201]
We present a scalable framework for accurately modeling many-body interactions in surface-code quantum processor units (QPUs). Combining a concise diagrammatic formalism with high-precision numerical methods, our approach efficiently evaluates high-order, long-range Pauli string couplings and maps complete chip layouts onto exact effective Hamiltonians. [...]
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2025-11-21 10:27 |
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2025-11-17 12:36 |
[FZJ-2025-04528]
Preprint
Schiffer, C. ; Boztoprak, Z. ; Kropp, J.-O. ; et al
CytoNet: A Foundation Model for the Human Cerebral Cortex
To study how the human brain works, we need to explore the organization of the cerebral cortex and its detailed cellular architecture. We introduce CytoNet, a foundation model that encodes high-resolution microscopic image patches of the cerebral cortex into highly expressive feature representations, enabling comprehensive brain analyses. [...]
OpenAccess: PDF;
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2025-11-12 11:21 |
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2025-10-28 12:51 |
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2025-10-28 12:50 |
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2025-10-27 13:26 |
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2025-10-27 07:03 |
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