From the 1 of 6 linked papers with an AI index.
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Multi-Stage Mamba-Based Architecture for Fast and Scalable Superconducting Qubit Readout
Luca Otting, Xiaorang Guo, Emmanouil Giortamis +3
The paper proposes a lightweight, multi-stage neural architecture based on the Mamba model to improve the speed and fidelity of superconducting qubit readout, especially in frequen…
MCMit: Hardware-Software Co-Design for Mid-Circuit Measurement Error Mitigation
Emmanouil Giortamis, Felix Gust, Aleksandra Świerkowska +8
Distributed Quantum Computing (DQC) and Quantum Error Correction (QEC) rely on dynamic circuits that include Mid-Circuit Measurements (MCMs) and classical feedback. These operation…
KLiNQ: Knowledge Distillation-Assisted Lightweight Neural Network for Qubit Readout on FPGA
Xiaorang Guo, Tigran Bunarjyan, Dai Liu +2
Superconducting qubits are among the most promising candidates for building quantum information processors. Yet, they are often limited by slow and error-prone qubit readout -- a c…
Design of an FPGA-Based Neutral Atom Rearrangement Accelerator for Quantum Computing
Xiaorang Guo, Jonas Winklmann, Dirk Stober +2
Neutral atoms have emerged as a promising technology for implementing quantum computers due to their scalability and long coherence times. However, the execution frequency of neutr…