62 citations · 85 across the 10 of their papers we have counts for
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cs.AR2020★ 17 cited
Deep-PowerX: A Deep Learning-Based Framework for Low-Power Approximate Logic Synthesis
Ghasem Pasandi, Mackenzie Peterson, Moises Herrera +2
This paper aims at integrating three powerful techniques namely Deep Learning, Approximate Computing, and Low Power Design into a strategy to optimize logic at the synthesis level.…
quant-ph2020★ 2 cited
NISQ+: Boosting quantum computing power by approximating quantum error correction
Adam Holmes, Mohammad Reza Jokar, Ghasem Pasandi +3
Quantum computers are growing in size, and design decisions are being made now that attempt to squeeze more computation out of these machines. In this spirit, we design a method to…