On Quantum-Enhanced LDPC Decoding for Rayleigh Fading Channels. - Utso Majumder; Aditya Das Sarma; Vishnu Vaidya; M. Girish Chandra (SEC, 2022)

On Quantum-Assisted LDPC Decoding Augmented with Classical Post-processing. - Aditya Das Sarma; Utso Majumder; Vishnu Vaidya; M. Girish Chandra; Achanna Anil Kumar; Sayantan Pramanik (PPAM (2), 2022)

Random Quantum Neural Networks (RQNN) for Noisy Image Recognition. - Debanjan Konar; Erol Gelenbe; Soham Bhandary; Aditya Das Sarma; Attila Cangi (CoRR, 2022)

Machine Learning as an Accurate Predictor for Percolation Threshold of Diverse Networks. - Siddharth Patwardhan; Utso Majumder; Aditya Das Sarma; Mayukha Pal; Divyanshi Dwivedi; Prasanta K. Panigrahi (CoRR, 2022)

Deep Spiking Quantum Neural Network for Noisy Image Classification. - Debanjan Konar; Vaneet Aggarwal; Aditya Das Sarma; Soham Bhandary; Siddhratha Bhattacharyya; Attila Cangi (IJCNN, 2023)

Random Quantum Neural Networks for Noisy Image Recognition. - Debanjan Konar; Erol Gelenbe; Soham Bhandary; Aditya Das Sarma; Attila Cangi (QCE, 2023)

A shallow hybrid classical-quantum spiking feedforward neural network for noise-robust image classification. - Debanjan Konar; Aditya Das Sarma; Soham Bhandary; Siddhartha Bhattacharyya; Attila Cangi; Vaneet Aggarwal (Appl. Soft Comput., 2023)