Framework for low-latency, mid-circuit drift compensation using syndrome data

Fault-tolerant quantum computing requires error rates that are below the quantum error correction threshold. A key step for meeting this requirement is making sure that control parameters are well calibrated to produce high-fidelity native operations. If underlying parameters drift over time, however, this instability can lead to worsening fidelities and a breakdown of fault tolerance. This talk will explore real-time calibration protocols for mitigating this situation. The defining feature of these protocols is their use of quantum error correction syndrome data for online control parameter updates, enabling active drift compensation concurrently with quantum error correction and quantum algorithm execution. We will discuss the basic protocol, along with recent theoretical developments and an analysis of relevant resource tradeoffs. We will then present a framework leveraging real-time processing capabilities of state-of-the-art control systems for enabling low-latency execution of this concurrent error correction and drift compensation workflow. 

SNL is managed and operated by NTESS under DOE NNSA contract DE-NA0003525. SAND2025-13458A.