Quantum-wave pattern recognition: From simulations towards implementation
Mitja Perus, Horst Bischof
TL;DR
This paper proposes a quantum holography-based neural network model for quantum associative memory and pattern recognition, transitioning from simulations to practical implementation.
Contribution
It introduces a novel quantum holography-based neural network model for pattern recognition, bridging the gap between simulation and real-world implementation.
Findings
Model successfully simulates quantum associative memory
Potential for practical quantum pattern recognition systems
Advances towards real quantum neural network hardware
Abstract
A simulated Hopfield-type neural-net-like model, which is realizable using quantum holography, is proposed for quantum associative memory and pattern recognition.
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Quantum optics and atomic interactions