A scalable edge-pass Purcell filter for high-fidelity readout of superconducting qubits

Quantum Physics arXiv:2608.13627 (quant-ph) [Submitted on 13 Aug 2026] Title:A scalable edge-pass Purcell filter for high-fidelity readout of superconducting qubits Authors:Xudong Liao, Yuan Li, Sainan Huai, Shuyi Pan, Zhenxing Zhang, Zhiwen Zong, Kunliang Bu, Yulei Ye, Wen Zheng, Xinsheng Tan, Yang Yu, Xiaopei Yang, Tianqi Cai, Shengyu Zhang View a PDF of the paper titled A scalable edge-pass Purcell filter for high-fidelity readout of superconducting qubits, by Xudong Liao and 13 other authors View PDF HTML (experimental) Abstract:High-fidelity readout with strong Purcell protection of qubit coherence is essential for scalable superconducting quantum processors, yet the finite passband and sizable footprint of conventional band-pass Purcell filters make them hard to scale. Here we introduce a scalable edge-pass Purcell filter that separates the readout band from the protected qubit band by a single transmission edge, freeing the readout resonators from bandwidth constraint. Depending on whether the transmitting band lies above or below the cutoff, the compact network is realized as a high-pass filter (HPF) or a low-pass filter (LPF). The HPF reaches an average readout fidelity of 99.46(4)% (up to 99.56%) with a 150-ns pulse, and the LPF reaches 99.49(3)% (up to 99.57%) with a 130-ns pulse. The average single-qubit gate fidelities are 99.94% (HPF) and 99.93% (LPF). Relative to the filter-free Purcell limit, the filters substantially extend the qubit lifetime, and the Purcell protection deepens at higher filter order. In addition, an intrinsic dissipation mode of the filter offers a qubit-reset channel. This leads to a compact architecture that unifies fast, high-fidelity readout, Purcell protection, and effective reset within a single filter for large-scale fault-tolerant quantum computation. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2608.13627 [quant-ph] (or arXiv:2608.13627v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2608.13627 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Zhenxing Zhang [view email] [v1] Thu, 13 Aug 2026 06:11:52 UTC (11,822 KB) Full-text links: Access Paper: View a PDF of the paper titled A scalable edge-pass Purcell filter for high-fidelity readout of superconducting qubits, by Xudong Liao and 13 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-08 References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators 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. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)