Qubit measurements have been lying to you
The relaxation time of a superconducting qubit — how long before environmental noise wipes the quantum state — has been a foundational number in quantum computing for two decades. Researchers report it. Hardware companies compete on it. Error correction schemes build their assumptions around it. A paper published in Physical Review X on February 13, 2026 suggests the field has been measuring it wrong.
A team from the Niels Bohr Institute at the University of Copenhagen, NTNU in Norway, and six other institutions found that qubit relaxation is not stable. It switches. The rate at which a qubit loses its quantum state can change by nearly an order of magnitude over timescales of tens of milliseconds, not minutes or hours as researchers had assumed. Two-level system switching rates reached up to 10 Hz in the experiment, four orders of magnitude faster than earlier reports had suggested.
Danon, a professor at NTNU's Department of Physics and a co-author, said in the university press release that the findings meant they had to completely rethink what they were looking at — this phrasing is a paraphrase, as the exact wording does not appear in the EurekAlert or NBI versions of the release.
The immediate implication is uncomfortable: if relaxation time fluctuates on millisecond timescales, a single measurement taken once per second is a snapshot of a moving target. Prior field-wide T1 data — the relaxation time numbers that appear in hundreds of papers, in vendor specifications, in benchmark comparisons — may be unreliable as characterizations of actual qubit behavior.
The finding comes with a methodological asterisk. The measurement speed required to catch these fast fluctuations did not exist until recently. The team used an FPGA-based classical controller from Quantum Machines, a Rehovot, Israel-based company that sells control hardware to quantum computing labs. The device, called the OPX1000, can measure qubit relaxation rates approximately every 10 milliseconds, over 100 times faster than the roughly one-second cadence that was previously practical. The team overcame the prior temporal resolution limit by two orders of magnitude.
Fabrizio Berritta, the lead author, has a present address at MIT's Research Laboratory of Electronics. The paper has 20 co-authors spanning the Niels Bohr Institute, NTNU, Leiden University, Chalmers University of Technology, the University of Copenhagen, Regensburg, and QDevil, a Danish quantum hardware company.
The qubits themselves had relaxation times averaging around 0.17 milliseconds, occasionally exceeding 0.5 milliseconds, short by the standards of some competing architectures. Comparisons are complicated by the new measurement approach. The relevant point is not the absolute number but the variability: the same qubit measured continuously looked different than the same qubit measured once.
Whether this finding survives replication across different hardware generations, materials systems, and operating temperatures remains an open question. The measurement was performed on a specific superconducting qubit design under specific conditions. If the effect generalizes, it complicates the roadmap for every error correction scheme that assumes stable T1. If it does not generalize, the paper is a useful correction to one experimental setup.
The practical consequence for quantum hardware developers is a shift from snapshot characterization to continuous monitoring. Instead of reporting a single T1 number, labs may need to report a time series. That changes how hardware is specified, compared, and published. It also means Quantum Machines and other control stack vendors have a new selling point, and the commercial pressure to demonstrate measurement capability at millisecond resolution just increased.
This is not a quantum advantage result. It is not a new gate, a new qubit design, or a new algorithm. It is a measurement fact that, if correct, means the field has been flying with an instrument error. The correction will take years to propagate through the literature. Whether the field moves fast enough to matter for near-term quantum computing timelines is the question worth watching.