3 papers
quant-ph2025
QuIRK: Quantum-Inspired Re-uploading KAN
Vinayak Sharma, Ashish Padhy, Lord Sen +4
Kolmogorov-Arnold Networks or KANs have shown the ability to outperform classical Deep Neural Networks, while using far fewer trainable parameters for regression problems on scient…
cs.DC2025
SAF: Scalable Acceleration Framework for dynamic and flexible scaling of FPGAs
Masudul Hassan Quraishi, Michael Riera, Fengbo Ren +2
FPGAs are increasingly gaining traction in cloud and edge computing environments due to their hardware flexibility, low latency, and low energy consumption. However, the existing h…
quant-ph2023
QPMeL - Quantum-Aware Classically-Trained Embeddings via Projective Metric Learning
Vinayak Sharma, Ashish Padhy, Sourav Behera +3
Deep metric learning has recently shown extremely promising results in the classical data domain, creating well-separated feature spaces. This idea was also adapted to quantum comp…