Presentation
NIAQ: Adaptive Non-Ideality-Aware Qubit Readout for Long-Term Accuracy
DescriptionHigh-accuracy qubit-state readout is critical for quantum computation. While existing hardware-based qubit-state discriminators assume stable readout statistics across measurement shots, realistic long-running tasks like chemistry simulation suffer from slow noise fluctuations and drift that severely degrade fidelity over time. We present NIAQ, an adaptive software–hardware co-design combining Kalman filtering for drift tracking with MLP discriminators for robustness against noise, together with degradation rate (%/hour) as a novel metric to quantify long-term stability. NIAQ achieves 88% qubit-state-readout accuracy in multi-qubit dataset that is equivalent to 1-day runtime, compared to the 61% baseline qubit-state discriminator, and yields 19× lower degradation rate. Optimized for low-power real-time operation on ASIC, post-synthesis results in 28-nm CMOS show 148mW power and 5ns delay, achieving 7.7× power and 6.4× latency improvements compared to the state-of-the-art.
Event Type
Research Manuscript
TimeTuesday, July 2811:36am - 11:50am PDT
LocationMtg Room 201B