A neural-network-like quantum information processing system

TL;DR

This paper introduces a quantum information processing system inspired by neural networks, enabling associative memory and processing within a quantum-physical framework, and discusses neuro-quantum interactions affecting quantum computation readouts.

Contribution

It develops a novel quantum information processing model based on neural network analogies, integrating neuro-quantum interactions for quantum computation readout regulation.

Findings

Proposes a quantum neural network model inspired by Hopfield and holographic networks.

Demonstrates potential for associative processing and memory storage in quantum systems.

Explores neuro-quantum interactions influencing quantum measurement outcomes.

Abstract

The Hopfield neural networks and the holographic neural networks are models which were successfully simulated on conventional computers. Starting with these models, an analogous fundamental quantum information processing system is developed in this article. Neuro-quantum interaction can regulate the "collapse"-readout of quantum computation results. This paper is a comprehensive introduction into associative processing and memory-storage in quantum-physical framework.