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Towards Arbitrary QUBO Optimization: Analysis of Classical and
  Quantum-Activated Feedforward Neural Networks

Towards Arbitrary QUBO Optimization: Analysis of Classical and Quantum-Activated Feedforward Neural Networks

16 October 2024
Chia-Tso Lai
Carsten Blank
Peter Schmelcher
Rick Mukherjee
ArXivPDFHTML

Papers citing "Towards Arbitrary QUBO Optimization: Analysis of Classical and Quantum-Activated Feedforward Neural Networks"

3 / 3 papers shown
Title
Diverse Adaptive Bulk Search: a Framework for Solving QUBO Problems on
  Multiple GPUs
Diverse Adaptive Bulk Search: a Framework for Solving QUBO Problems on Multiple GPUs
K. Nakano
Daisuke Takafuji
Yasuaki Ito
Takashi Yazane
Junko Yano
Shiro Ozaki
Ryota Katsuki
Rie Mori
14
11
0
07 Jul 2022
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users
Laurent Valentin Jospin
Wray Buntine
F. Boussaïd
Hamid Laga
Bennamoun
OOD
BDL
UQCV
77
625
0
14 Jul 2020
The Power of Depth for Feedforward Neural Networks
The Power of Depth for Feedforward Neural Networks
Ronen Eldan
Ohad Shamir
205
732
0
12 Dec 2015
1