5 citations · 8 across the 13 of their papers we have counts for
4 papers · 1 filter
A Hybrid Classical-Quantum Fine Tuned BERT for Text Classification
Abu Kaisar Mohammad Masum, Naveed Mahmud, M. Hassan Najafi +1
Fine-tuning BERT for text classification can be computationally challenging and requires careful hyper-parameter tuning. Recent studies have highlighted the potential of quantum al…
Quantum Hyperdimensional Computing: a foundational paradigm for quantum neuromorphic architectures
Fabio Cumbo, Rui-Hao Li, Bryan Raubenolt +4
A significant challenge in quantum computing (QC) is developing learning models that truly align with quantum principles, as many current approaches are complex adaptations of clas…
All-in-Memory Stochastic Computing using ReRAM
João Paulo C. de Lima, Mehran Shoushtari Moghadam, Sercan Aygun +3
As the demand for efficient, low-power computing in embedded and edge devices grows, traditional computing methods are becoming less effective for handling complex tasks. Stochasti…
Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing
Mehran Shoushtari Moghadam, Sercan Aygun, M. Hassan Najafi
Data encoding is a fundamental step in emerging computing paradigms, particularly in stochastic computing (SC) and hyperdimensional computing (HDC), where it plays a crucial role i…