10 citations · 17 across the 4 of their papers we have counts for
4 papers
AMARETTO: Enabling Efficient Quantum Algorithm Emulation on Low-Tier FPGAs
Christian Conti, Deborah Volpe, Mariagrazia Graziano +2
Researchers and industries are increasingly drawn to quantum computing for its computational potential. However, validating new quantum algorithms is challenging due to the limitat…
A Predictive Approach for Selecting the Best Quantum Solver for an Optimization Problem
Deborah Volpe, Nils Quetschlich, Mariagrazia Graziano +2
Leveraging quantum computers for optimization problems holds promise across various application domains. Nevertheless, utilizing respective quantum computing solvers requires descr…
Towards an Automatic Framework for Solving Optimization Problems with Quantum Computers
Deborah Volpe, Nils Quetschlich, Mariagrazia Graziano +2
Optimizing objective functions stands to benefit significantly from leveraging quantum computers, promising enhanced solution quality across various application domains in the futu…
Custom Memory Design for Logic-in-Memory: Drawbacks and Improvements over Conventional Memories
Fabrizio Ottati, Giovanna Turvani, Marco Vacca +1
The speed of modern digital systems is severely limited by memory latency (the ``Memory Wall'' problem). Data exchange between Logic and Memory is also responsible for a large part…