Corpus ID: 237581169

Phase diagram of quantum generalized Potts-Hopfield neural networks

  title={Phase diagram of quantum generalized Potts-Hopfield neural networks},
  author={Eliana Fiorelli and Igor Lesanovsky and M. Muller},
Eliana Fiorelli, 2, ∗ Igor Lesanovsky, 4, 5 and Markus Müller 2 Institute for Theoretical Nanoelectronics (PGI-2), Forschungszentrum Jülich, 52428 Jülich, Germany JARA-Institute for Quantum Information, RWTH Aachen University, 52056 Aachen, Germany School of Physics and Astronomy, University of Nottingham, Nottingham, NG7 2RD, UK Centre for the Mathematics and Theoretical Physics of Quantum Non-equilibrium Systems, University of Nottingham, Nottingham NG7 2RD, UK Institut für Theoretische… Expand

Figures from this paper


Microtubules as a Quantum Hopfield Network
Penrose and Hameroff’s orchestrated objective (Orch OR) theory CHEXX[14] suggests the existence of quantum computation in microtubule protein assemblies inside living cells. To investigate thisExpand
Quantum Computation and Quantum Information (10th Anniversary edition)
Containing a wealth of figures and exercises, this well-known textbook is ideal for courses on the subject, and will interest beginning graduate students and researchers in physics, computer science, mathematics, and electrical engineering. Expand
Quantum Neuron: an elementary building block for machine learning on quantum computers
A small quantum circuit is proposed that naturally simulates neurons with threshold activation and defines a building block, the "quantum neuron", that can reproduce a variety of classical neural network constructions while maintaining the ability to process superpositions of inputs and preserve quantum coherence and entanglement. Expand
Global Dynamical Properties of Lotka-Volterra Systems
No wonder you activities are, reading will be always needed. It is not only to fulfil the duties that you need to finish in deadline time. Reading will encourage your mind and thoughts. Of course,Expand
Spin Glass Theory and Beyond
This book contains a detailed and self-contained presentation of the replica theory of infinite range spin glasses. The authors also explain recent theoretical developments, paying particularExpand
Modelling Brain Function: The World of Attractor Neural Networks
From the Publisher: Substantial progress in understanding memory, the learning process, and self-organization by studying the properties of models of neural networks have resulted in discoveries ofExpand
Neural Networks: A Comprehensive Foundation
Simon Haykin Neural Networks A Comprehensive Foundation Simon S. Haykin neural networks a comprehensive foundation pdf PDF Drive. Expand
Journal of Physics A: Mathematical and Theoretical 51
  • 115301
  • 2018
Nonlinear dynamics and chaos: with applications to Physics
  • Biology
  • 1994
  • 2554
  • 1982