Quantum Robotics, Neural Networks and the Quantum Force Interpretation

Abstract

We are using, within the technological context, the concept of cyber-physicalcognitive system worked in Ivancevic (et al., 2018), which addresses the integration of the ICT's in physical systems (the cyber-physical technological transformation) and of the CogTech (cyber-physical-cognitive transformation). Since the Fourth Industrial Revolution involves the merge of the ICTs with the CogTech, the CogTech pillar is explicitly addressed in the acronym CPC (cyber-physical-cognitive). transformations, CPC systems form the basis for a distributed intelligent artificial cognition and includes smart devices embedded in different physical systems, linked to the Internet (Schwab, 2017), such that the current technological transformation can be described by an acronym SDO (Smart, Digital, Online). However, quantum technologies, in particular quantum computers, threaten the current infrastructure of this technological basis, in the sense that quantum computers can solve cryptographic problems that are central for secure communications, making cryptographic quantum resistance one of the major problems to the SDO-based transformation (

Quantum Neural Machine Learning: Theory and Experiments

“…The basic computational unit of a QUANN is a neuron with a two-level firing dynamics that can be described by the neural firing operator [5,6]:…”

“…Therefore, the eigenvector 0 ji corresponds to a neural activity where the firing frequency is 0 Hz, while the eigenvector 1 jicorresponds to a neural activity where the firing frequency is 1 Hz. This means that there are two quantized energy levels associated with the artificial neuron, and these energy levels are obtained from the single neuron Hamiltonian, expressed in terms of the neural firing frequency operator as follows [5,6]…”

“…The general computational dynamics of a d-neuron QUANN can be addressed, in the quantum circuit model, by a computational chain of unitary operators, where the networked computation is implemented by conditional unitary operators that follow the structure of the neural links [4][5][6], which means that not all conditional unitary operators can be implemented in the neural network, but only those that respect the network's topology and processing direction.…”

“…The above fundamental computational dynamics is characteristic of quantum mechanics, and not limited to QUANNs or quantum computation, nor is it dependent on one's interpretation of quantum mechanics. It arises when one considers the structure of a general density operator for a quantum system [6].…”

“…Gonçalves in [6] addressed the relation between the echo and Bohm's proposal recovering the Bohmian concept of quantum force [9,10].…”