Machine Learning Assisted Superconducting Qubit Readout. - Benjamin Lienhard (2021)

Hardware Efficient Neural Network Assisted Qubit Readout. - Satvik Maurya; Chaithanya Naik Mude; William D. Oliver; Benjamin Lienhard; Swamit S. Tannu (CoRR, 2022)

Scaling Qubit Readout with Hardware Efficient Machine Learning Architectures. - Satvik Maurya; Chaithanya Naik Mude; William D. Oliver; Benjamin Lienhard; Swamit S. Tannu (ISCA, 2023)

Understanding Side-Channel Vulnerabilities in Superconducting Qubit Readout Architectures. - Satvik Maurya; Chaithanya Naik Mude; Benjamin Lienhard; Swamit Tannu (QCE, 2024)

Enabling Leakage Reduction via Fast and High-Fidelity Qutrit Readout. - Chaithanya Naik Mude; Satvik Maurya; Benjamin Lienhard; Swamit Tannu (CoRR, 2024)

Low-latency machine learning FPGA accelerator for multi-qubit state discrimination. - Pradeep Kumar Gautam; Shantharam Kalipatnapu; Shankaranarayanan H; Ujjawal Singhal; Benjamin Lienhard; Vibhor Singh; Chetan Singh Thakur (CoRR, 2024)

Qubit-State Discrimination using Neural Networks with Rapid and Energy-Efficient Compute Arrays. - Yuntian Liu; Yi Sheng Chong; Benjamin Lienhard; Minghao Fan; Wang Ling Goh; Vishnu P. Nambiar; Anh Tuan Do (ISCAS, 2025)

KLiNQ: Knowledge Distillation-Assisted Lightweight Neural Network for Qubit Readout on FPGA. - Xiaorang Guo; Tigran Bunarjyan; Dai Liu; Benjamin Lienhard; Martin Schulz 001 (CoRR, 2025)

Superconducting Qubit Readout Using Next-Generation Reservoir Computing. - Robert M. Kent; Benjamin Lienhard; Gregory Lafyatis; Daniel J. Gauthier (CoRR, 2025)