Quantum Mixed-State Self-Attention Network

arXiv:2403.02871v1 Announce Type: cross
Abstract: The rapid advancement of quantum computing has increasingly highlighted its potential in the realm of machine learning, particularly in the context of natural language processing (NLP) tasks. Quantum machine learning (QML) leverages the unique capabilities of quantum computing to offer novel perspectives and methodologies for complex data processing and pattern recognition challenges. This paper introduces a novel Quantum Mixed-State Attention Network (QMSAN), which integrates the principles of quantum computing with classical machine learning algorithms, especially …

abstract advancement arxiv attention capabilities computing context cs.lg data data processing language language processing machine machine learning mixed natural natural language natural language processing network nlp novel pattern recognition perspectives processing qml quant-ph quantum quantum computing recognition self-attention state tasks type