109 citations · 112 across the 11 of their papers we have counts for
3 papers · 1 filter
Dependence-Driven, Scalable Quantum Circuit Mapping with Affine Abstractions
Marouane Benbetka, Merwan Bekkar, Riyadh Baghdadi +1
Qubit Mapping is a critical task in Quantum Compilation, as modern Quantum Processing Units (QPUs) are constrained to nearest-neighbor interactions defined by a qubit coupling grap…
Neural Architecture Search with Mixed Bio-inspired Learning Rules
Imane Hamzaoui, Riyadh Baghdadi
Bio-inspired neural networks are attractive for their adversarial robustness, energy frugality, and closer alignment with cortical physiology, yet they often lag behind back-propag…
Sign-Symmetry Learning Rules are Robust Fine-Tuners
Aymene Berriche, Mehdi Zakaria Adjal, Riyadh Baghdadi
Backpropagation (BP) has long been the predominant method for training neural networks due to its effectiveness. However, numerous alternative approaches, broadly categorized under…