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Quantum computers don’t just fail because qubits are “noisy.” A big reason they fail is that a qubit can be good… then suddenly bad… in fractions of a second — fast enough that normal calibration can’t even catch it. In this Enginerds Tech Explainer, we break down a new Physical Review X result showing real-time tracking of qubit performance fluctuations in superconducting quantum hardware. The key idea: stop thinking in averages, and start thinking like real infrastructure — live monitoring, fast updates, and adaptive control loops. You’ll learn: what “T one” relaxation time actually measures (and why it matters) why older methods hide the very fluctuations that wreck performance how real-time tracking works, and what it reveals about sub-second drift why this changes scaling, manufacturing, and day-to-day operation of quantum processors what “quantum observability” could look like as these systems mature If quantum computing is going to scale, this is the unglamorous layer that has to exist. Check out our channel for more insightful content! This video is part of the Enginerds Tech Explainer series—clear, calm explanations of the technologies shaping modern software and systems. CHAPTERS: 0:00 - Your “Good” Qubit Can Turn Bad 0:41 - What Real-Time Tracking Reveals 1:22 - Superconducting Qubit Basics 2:04 - Why Qubit Behavior Isn’t Stable 2:46 - What This Unlocks for Scaling 3:29 - Why Averages Hide the Problem 4:10 - Fast Real-Time Estimation 4:52 - Sub-Second Shifts in the Lab 5:34 - The “Bad Qubit” Problem 6:15 - The Bigger Takeaway 6:56 - Control Loops and Quantum Infrastructure Sources & Further Reading: Physical Review X paper (DOI): https://doi.org/10.1103/gk1b-stl3 Niels Bohr Institute / University of Copenhagen summary: https://nbi.ku.dk/english/news/news26... Additional coverage (Phys.org): https://phys.org/news/2026-02-qubits-... Additional coverage (ScienceDaily): https://www.sciencedaily.com/releases... --- Website: https://www.enginerds.com X: https://x.com/EnginerdsNews