2 papers
cs.IT2026
L2T-Hyena: Enhancing State-Space Models with an Adaptive Learn-to-Teach Framework
Fatemeh Sohbati, Farzan Haddadi, Hamid Salahinejad
State-space models (SSMs) have recently emerged as efficient alternatives to computationally intensive architectures such as Transformers for sequence modeling. However, their trai…
quant-ph2025
Hybrid Quantum-Classical Selective State Space Artificial Intelligence
Amin Ebrahimi, Farzan Haddadi
Hybrid Quantum Classical (HQC) algorithms constitute one of the most effective paradigms for exploiting the computational advantages of quantum systems in large-scale numerical tas…