AI+ Quantum™

Harness Quantum Power with AI

This course explores AI + Quantum integration, introducing learners to Quantum Gates, Quantum Circuits, and emerging AI applications within quantum computing. It advances into specialised learnings, including Quantum Deep Learning and transformative AI methodologies. With an industry-oriented approach, participants engage with real-world case studies and trend analysis to understand practical implications. The course also emphasises an ethical focus, examining the responsible and efficient use of quantum AI technologies.

Enrollment Fee:

MUR 15,145

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What You'll Learn

Module 1: Overview of Artificial Intelligence (AI) and Quantum Computing

1.1 Artificial Intelligence Refresher
1.2 Quantum Computing Refresher

Module 2: Quantum Computing Gates, Circuits, and Algorithms

2.1 Quantum Gates and their Representation
2.2 Multi Qubit Systems and Multi Qubit Gates

Module 3: Quantum Algorithms for AI

3.1 Core Quantum Algorithms
3.2 QFT and Variational Quantum Algorithms

Module 4: Quantum Machine Learning

4.1 Algorithms for Regression and Classification
4.2 Algorithms for Dimensionality and Clustering

Module 5: Quantum Deep Learning

5.1 Algorithms for Neural Networks – Part I
5.2 Algorithms for Neural Networks – Part II

Module 6: Ethical Considerations

6.1 Ethics for Artificial Intelligence
6.2 Ethics for Quantum Computing

Module 7: Trends and Outlook

7.1 Current Trends and Tools
7.2 Future Outlook and Investment

Module 8: Use Cases & Case Studies

8.1 Quantum Use Cases
8.2 QML Case Studies

Module 9: Workshop

9.1 Project – I: QSVM for Iris Dataset
9.2 Project – II: VQC/QNN on Iris Dataset
9.3 Bonus: IBM Quantum Computers

Optional Module: AI Agents for Quantum

1. What Are AI Agents
2. Key Capabilities of AI Agents in Quantum Computing
3. Applications and Trends for AI Agents in Quantum Computing
4. How Does an AI Agent Work
5. Core Characteristics of AI Agents
6. Types of AI Agents

Prerequisites

A foundational knowledge of AI concepts, no technical skills are required.
Willingness to exploring unconventional approaches to problem-solving within the context of AI and Quantum.
Openness to engage critically with ethical dilemmas and considerations related to AI technology in quantum practices.

Exam Details

Duration:

90 minutes

Passing Score:

70% (35/50)

Format:

50 multiple-choice/multiple-response questions

Delivery Method:

Online via proctored exam platform (flexible scheduling)

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Access learning anytime, anywhere, with built-in quizzes to measure progress.
Enrollment Fee: MUR 15,145

Enroll Now