aiqbench analysis
This study resolves a critical scaling bottleneck in fluxonium qubits by identifying parasitic capacitances from Josephson junctions as the primary source of loading, rather than fundamental physical limits. The authors provide analytical relations and design principles that enable engineered mitigation strategies for high-fidelity two-qubit gates in 2D architectures. These findings offer concrete pathways to overcome connectivity challenges essential for building large-scale quantum processors.
Capacitive Loading in Two-dimensional Fluxonium Quantum Processors
arXiv:2607.22138v1 Announce Type: new Abstract: Capacitive loading has emerged as a major obstacle to scaling fluxonium qubits from one-dimensional to highly connected two-dimensional (2D) architectures, yet its physical origin remains poorly understood. We derive an analytical relation between the qubit capacitance budget and the achievable capacitive coupling to external circuit elements, identifying the parasitic capacitances of Josephson junctions and Josephson junction arrays as the dominant source of capacitive loading while showing that the qubit-pad geometry can instead be engineered to mitigate it. Building on these insights, we formulate practical design principles and numerically demonstrate ultrafast, high-fidelity two-qubit gates in 2D fluxonium architectures. Our results reveal that capacitive loading does not constitute a fundamental limit for 2D fluxonium quantum processors.
Abstract:Capacitive loading has emerged as a major obstacle to scaling fluxonium qubits from one-dimensional to highly connected two-dimensional (2D) architectures, yet its physical origin remains poorly understood. We derive an analytical relation between the qubit capacitance budget and the achievable capacitive coupling to external circuit elements, identifying the parasitic capacitances of Josephson junctions and Josephson junction arrays as the dominant source of capacitive loading while showing that the qubit-pad geometry can instead be engineered to mitigate it. Building on these insights, we formulate practical design principles and numerically demonstrate ultrafast, high-fidelity two-qubit gates in 2D fluxonium architectures. Our results reveal that capacitive loading does not constitute a fundamental limit for 2D fluxonium quantum processors.
arXiv:2607.22138 [quant-ph]
(or arXiv:2607.22138v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2607.22138 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Full text under the publisher's open licence · 205 words
Related coverage

Engineers Link Fluxonium Gate Speed to Qubit-Pad Geometry
Quantum Zeitgeist · Aug 5, 2026

Superconducting Qubit Chain Drives Dephasing to Zero Without Error Correction
techtimes.com · Aug 16, 2026
Scalable Fluxonium-Transmon Architecture for Error Corrected Quantum Processors
arXiv · Oct 9, 2026
High-Fidelity Entangled States in a Connectivity-Four Fluxonium Quantum Processor
arXiv · Aug 27, 2026