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UID:dac_DAC 2026_sess315_RESEARCH1200@linklings.com
SUMMARY:NIAQ: Adaptive Non-Ideality-Aware Qubit Readout for Long-Term Accu
 racy
DESCRIPTION:Yuyang Du (Nanyang Technological University); Yi Sheng Chong (
 Institute of Microelectronics, Agency for Science, Technology and Research
 ); Wang Ling Goh (Nanyang Technological University); Benjamin Lienhard (Te
 chnical University of Munich); and Anh Tuan Do (Institute of Microelectron
 ics, Agency for Science, Technology and Research)\n\nHigh-accuracy qubit-s
 tate readout is critical for quantum computation. While existing hardware-
 based qubit-state discriminators assume stable readout statistics across m
 easurement shots, realistic long-running tasks like chemistry simulation s
 uffer from slow noise fluctuations and drift that severely degrade fidelit
 y over time. We present NIAQ, an adaptive software–hardware co-design comb
 ining Kalman filtering for drift tracking with MLP discriminators for robu
 stness against noise, together with degradation rate (%/hour) as a novel m
 etric to quantify long-term stability. NIAQ achieves 88% qubit-state-reado
 ut accuracy in multi-qubit dataset that is equivalent to 1-day runtime, co
 mpared to the 61% baseline qubit-state discriminator, and yields 19× lower
  degradation rate. Optimized for low-power real-time operation on ASIC, po
 st-synthesis results in 28-nm CMOS show 148mW power and 5ns delay, achievi
 ng 7.7× power and 6.4× latency improvements compared to the state-of-the-a
 rt.\n\nTopics: Quantum\n\nTrack: DES6. Quantum Computing, Systems\n\nSessi
 on Chairs: Hokeun Kim (Arizona State University); BaekGyu Kim (Daegu Gyeon
 gbuk Institute of Science and Technology); Xiang Chen (Peking University);
  Sangyeob Kim (Yonsei University); Robert M. Radway (University of Pennsyl
 vania); Prashanth Mohan (University of Pittsburgh); Xiaoxuan Yang (Univers
 ity of Virginia, Stanford University); Ramtin Zand (University of South Ca
 rolina); Hadi Kamali (University of Central Florida); Jiafeng Xie (Villano
 va University); Prabuddha Chakraborty (University of Maine); Junichiro Kad
 omoto (University of Tokyo); and Yosuke Ueno (RIKEN)\n\n
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