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Automated AI system flags qubit drift and instability, speeding quantum calibration
NPL, the UK’s National Metrology Institute (NMI), plays a central role in providing accurate and trusted measurement across emerging technology. Within its Institute for Quantum Standards and Technology (IQST), the team is developing methods to characterize and calibrate quantum devices, particularly quantum computing.
As part of a new collaboration, NPL is integrating NVIDIA’s Ising AI tools into its quantum measurement systems to automate key calibration tasks. This approach will help address one of the major challenges facing quantum computing: the need to manage large numbers of qubits, each affected by multiple sources of noise and instability.
Qubit performance is commonly assessed using metrics such as the qubit relaxation time, usually referred to as T1 time, which is a metric for the timescale at which a qubit decays from its excited state to the ground state. These values can fluctuate or drift due to interactions with the environment, requiring frequent checks to ensure reliable operation. Traditionally, such checks are carried out manually by experts.