A Cryogenic Muon Tagging System Based on Kinetic Inductance Detectors for Superconducting Quantum Processors
Ambra Mariani, Laura Cardani, Mustafa Bal, Nicola Casali, Ivan Colantoni, Angelo Cruciani, Giorgio Del Castello, Daniele Delicato, Francesco De Dominicis, Matteo del Gallo Raccagiovine, Matteo Folcarelli, Sabrina Garattoni, Anna Grassellino, Mehmood Khan Yasir Raja

TL;DR
This paper introduces a cryogenic muon-tagging system using Kinetic Inductance Detectors designed to detect muons at millikelvin temperatures, aiming to mitigate radiation-induced errors in superconducting quantum processors.
Contribution
The paper presents the first operational prototype of a cryogenic muon-tagging system based on KIDs, demonstrating high efficiency and feasibility for integration with quantum processors.
Findings
Achieved about 90% muon-tagging efficiency.
Observed muon-induced coincidence rate of (192 ± 9)×10^{-3} events/sec.
Validated system performance with Monte Carlo simulations.
Abstract
Ionizing radiation has emerged as a potential limiting factor for superconducting quantum processors, inducing quasiparticle bursts and correlated errors that challenge fault-tolerant operation. Atmospheric muons are particularly problematic due to their high energy and penetration power, making passive shielding ineffective. Therefore, monitoring the real-time muon flux is crucial to guide the development of alternative error-correction or mitigation strategies. We present the design, simulation, and first operation of a cryogenic muon-tagging system based on Kinetic Inductance Detectors (KIDs), developed as a stand-alone cryogenic particle-tagging module for superconducting quantum processors. The system consists of two KIDs arranged in a vertical stack and operated at 20 mK. Monte Carlo simulations based on Geant4 guided the prototype design and provided reference expectations…
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Taxonomy
TopicsNeutrino Physics Research · Particle Detector Development and Performance · Particle physics theoretical and experimental studies
