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Competition & Workshop�A Sandbox for Teaching and Learning in Quantum Computational Intelligence�for Pre-University and Undergraduate Students

Chih-Ni Lu Tsai-Chen Lee Yu-Hsin Chen Yen-Yu Tien Yun-Hsi Cheng

National University of Tainan, Taiwan

June 5, 2024

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Outline

  • Main Points of the Concept-based Learning
  • QCI Data Model
  • QCI Inference Model
  • Fine-Tuned QCI Model
  • Real-World Application
    • QCI&AI Learning Tools Demonstration (Video)
    • Explanation to Quantum CI Circuit (Option)
  • Learning Experience Sharing

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Main Points of Fuzzy Systems

RULE HARUS SATISFY SEMUA ELEMEN: INPUT, NUMBER OF RULES.

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Main Points of Evolutionary Computation

PSO

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Main Points of Quantum Computing

BIT→ Circuit

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QCI Data Model�Data Collection Process

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QCI Data Model�Human Intelligence (HI) vs. Fuzzy Systems

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QCI Data Model�Human Intelligence (HI) vs. Generative AI

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QCI Inference Model�Knowledge Model and Inference Model

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QCI Inference Model�QCI&AI Learning Tools Demonstration Video

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Fine-Tuned QCI Model�Model Evaluation and Validation

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Extra Credit Opportunity�Explain Quantum Circuit

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Learning Experience Sharing

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Thank you very much for your listening !