Quantum and AI Marketing

This unit introduces foundational quantum computing concepts and explores how quantum AI/ML and empathetic personalization algorithms can reshape social media marketing strategies. Students examine technical examples (e.g., Shor’s and Grover’s algorithms), evaluate business value and risks, and prepare governance and implementation briefs that bridge emerging technology with real-world marketing use cases.

Learning Objectives

• Analyze foundational quantum computing concepts and provide examples of quantum speedup (e.g., Shor’s and Grover’s algorithms), summarizing their potential computational implications for social media marketing tasks
• Evaluate Quantum AI/ML and empathetic personalization algorithms to identify at least three concrete use cases that could improve audience targeting, content optimization, or ad delivery
• Assess ethical, policy, and partnership considerations related to deploying quantum-enabled AI in marketing by comparing benefits and risks (privacy, bias, security) and recommending at least two mitigation or governance strategies
• Apply knowledge of quantum principles and emerging computing futures to create a high-level implementation brief outlining business value, technical requirements, and stakeholder roles for one proposed quantum-enabled marketing solution