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Quantum Machine Learning

Quantum Collaboration: Pioneering the Frontier of Enhanced Artificial Intelligence

Crossref
Authors: Zouhair LAKHYAR

Year

2024

Paper ID

13843

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

88

Citations

0

Abstract

Quantum - Enhanced Artificial Intelligence QAI merges the advanced capabilities of quantum computing with the sophisticated algorithms of artificial intelligence. This paper explores the current challenges in developing quantum algorithms and qubits, addressing issues of fidelity and scalability. It also examines the potential applications of QAI in various industries, including healthcare, cryptography, and optimization. This article also highlights the transformative potential of QAI, showcasing how the integration of quantum computing with AI can overcome current limitations in data processing and optimization, leading to groundbreaking advancements across multiple sectors.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2024 reference point for readers tracking recent quantum research.
  • Quantum - Enhanced Artificial Intelligence QAI merges the advanced capabilities of quantum computing with the sophisticated algorithms of artificial intelligence.

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References & Citation Signals

[1] DOI https://doi.org/10.53469/jrse.2024.06(12).15 [2] Publisher https://doi.org/10.53469/jrse.2024.06(12).15

Local Citation Graph (Related-Paper Links)

Current Paper #13843 #69034 Hardware-aware Low-latency Quan... #69025 Machine-Learning Optimization a... #69003 QBugLM: An Agentic Benchmarking... #68993 Tomography of quantum states wi...

External citation index: OpenAlex citation signal • updated 2026-06-15 04:29:14

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