Purdue Quantum AI

March 26th, 2025 Daniela Lopez de Luise
Quantum computing has emerged as a groundbreaking paradigm, offering the promise of unparalleled speed and efficiency in solving complex problems. This transformative technology has spurred rapid advancements in the fields of quantum artificial intelligence (Quantum AI) and beyond. By harnessing the principles of quantum mechanics, Quantum AI holds the potential to revolutionize disciplines such as machine learning, cryptography, optimization, and communication systems, paving the way for innovations that were once considered out of reach. 

This symposium aims to delve into the forefront of Quantum AI research, addressing key questions and exploring emerging possibilities. For more information, visit https://engineering.purdue.edu/IE/PurdueQuantumAIWorkshop2025 . This symposium will cover a wide range of topics at the intersection of quantum computing and artificial intelligence, including but not limited to:

  • Quantum Speedup for AI Algorithms: Harnessing quadratic and exponential speedups for optimization, search, and learning tasks.

  • Quantum Annealing and Combinatorial Optimization: Exploring applications of quantum annealers in solving NP-hard problems and industry-specific use cases.

  • Quantum Generative AI: Developing and analyzing quantum-enhanced generative models for data synthesis, creativity, and simulation.

  • Hybrid Quantum-Classical Architectures: Designing systems that leverage the strengths of both classical and quantum computation for scalable AI solutions.

  • Quantum Neural Networks (QNNs): Advancing the design and application of neural networks operating in the quantum regime.

  • Quantum Computing in Natural Language Processing (NLP): Leveraging quantum algorithms to enhance language understanding and semantic analysis.

  • Quantum Cryptography and Secure AI Models: Addressing the challenges of integrating quantum-based security measures in AI systems.

  • Error Mitigation and Fault Tolerance in Quantum AI: Developing methods to ensure reliability and scalability of quantum computations.

  • Quantum Hardware for AI: Investigating advancements in qubit technologies and their implications for AI workloads.

  • Ethics and Societal Impact of Quantum AI: Analyzing the broader implications of quantum technologies on society, ethics, and policy.

  • Business and Industry Applications of Quantum AI: Exploring viable models for deploying quantum-enhanced AI in sectors like finance, healthcare, logistics, and telecommunications.

  • Role of Quantum AI in Augmenting Human Work: Improving productivity, creativity, and workplace ergonomics with Quantum AI.

  • Quantum Transformation in Industrial Engineering: Transitioning industrial practices to leverage quantum paradigms.

  • Future of Education: Reshaping curricula and research directions to integrate Quantum AI advancements.


    We welcome submissions of regular papers, review papers, tutorials, position papers. Submission deadline is March 29, 2025. Please see https://engineering.purdue.edu/IE/PurdueQuantumAIWorkshop2025 for details. 

    Best,

    Vaneet Aggarwal

    Professor, Purdue University

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