121 citations · 775 across the 27 of their papers we have counts for
27 papers
A new approach to rating scale definition with quantum-inspired optimization
Patrizio Spada, Laura Cappelli, Francesca Cibrario +7
In finance, assessing the creditworthiness of loan applicants requires lenders to cluster borrowers using rating scales. Financial institutions must define the scales in compliance…
gCAMB: A GPU-accelerated Boltzmann solver for next-generation cosmological surveys
L. Storchi, P. Campeti, M. Lattanzi +3
Inferring cosmological parameters from Cosmic Microwave Background (CMB) data requires repeated and computationally expensive calculations of theoretical angular power spectra usin…
A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures
Serena Curzel, Fabrizio Ferrandi, Leandro Fiorin +15
Given their increasing size and complexity, the need for efficient execution of deep neural networks has become increasingly pressing in the design of heterogeneous High-Performanc…
Design and simulation of a transmon qubit chip for Axion detection
Roberto Moretti, Hervè Atsè Corti, Danilo Labranca +54
Quantum Sensing is a rapidly expanding research field that finds one of its applications in Fundamental Physics, as the search for Dark Matter. Devices based on superconducting qub…
Quantifying memory in spin glasses
Janus Collaboration, I. Paga, J. He +24
Rejuvenation and memory, long considered the distinguishing features of spin glasses, have recently been proven to result from the growth of multiple length scales. This insight, e…
A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms
Cristina Silvano, Daniele Ielmini, Fabrizio Ferrandi +19
Recent trends in deep learning (DL) have made hardware accelerators essential for various high-performance computing (HPC) applications, including image classification, computer vi…