Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Springer eBooks

Microtubules as a Quantum Hopfield Network

Elizabeth Behrman, K. Gaddam, James E. Steck, S.R. Skinner

Published Sep 4, 2006• 16 citations
Publisher
DOI
10.1007/3-540-36723-3_10

Related papers

Quantum Hopfield Network Using Single-Electron Circuits

Masamichi Akazawa

International Conference on Solid State Devices and Materials (SSDM)•Sep 18, 1997•3 citations

Hopfield Network and Adiabatic Quantum Computation

Sato Shigeo, Kinjo Mitsunaga, Koji Nakajima

IEICE Technical Report; IEICE Tech. Rep.•Nov 4, 2009•0 citations

Quantum Hopfield Neural Networks: A New Approach and Its Storage Capacity

Nicholas Meinhardt, Niels M. P. Neumann, Frank Phillipson

Lecture notes in computer science•Jan 1, 2020•6 citations

Quantum mechanics in cell microtubules

Nick E. Mavromatos, D.V. Nanopoulos

Advances in structural biology•Jan 1, 1999•8 citations

Modelling microtubules in the brain asn-qudit quantum Hopfield network and beyond

Dayal Pyari Srivastava, Vishal Sahni, Prem Saran Satsangi

The scientific approach to understand the nature of consciousness revolves around the study of the human brain. Neurobiological studies that compare the nervous system of different species have accorded the highest place to humans on account of various factors that include a highly developed cortical area comprising of approximately 100 billion neurons, that are intrinsically connected to form a highly complex network. Quantum theories of consciousness are based on mathematical abstraction and the Penrose–Hameroff Orch-OR theory is one of the most promising ones. Inspired by the Penrose–Hameroff Orch-OR theory, Behrman et al. have simulated a quantum Hopfield neural network with the structure of a microtubule. They have used an extremely simplified model of the tubulin dimers with each dimer represented simply as a qubit, a single quantum two-state system. The extension of this model to n-dimensional quantum states or n-qudits presented in this work holds considerable promise for even higher mathematical abstraction in modelling consciousness systems.

arXiv:1505.00774•International Journal of General Systems•Oct 14, 2015•17 citations

Quantum decoherence in microtubules

Kaushik Naskar, P. S. Joarder

arXiv:2304.06518•Quantum Information Processing•Dec 12, 2024•0 citations
The scientific approach to understand the nature of consciousness revolves around the study of the human brain. Neurobiological studies that compare the nervous system of different species have accorded the highest place to humans on account of various factors that include a highly developed cortical area comprising of approximately 100 billion neurons, that are intrinsically connected to form a highly complex network. Quantum theories of consciousness are based on mathematical abstraction and the Penrose–Hameroff Orch-OR theory is one of the most promising ones. Inspired by the Penrose–Hameroff Orch-OR theory, Behrman et al. have simulated a quantum Hopfield neural network with the structure of a microtubule. They have used an extremely simplified model of the tubulin dimers with each dimer represented simply as a qubit, a single quantum two-state system. The extension of this model to n-dimensional quantum states or n-qudits presented in this work holds considerable promise for even higher mathematical abstraction in modelling consciousness systems.