Quantum and Quantum-Inspired AI Solutions: Bridging Innovation and Industry Readiness

Quantum and quantum-inspired AI have the potential to reshape how we approach and solve complex computational challenges. While universal quantum computing is still in its early stages, quantum-inspired methodologies already offer significant improvements in the efficiency, scalability, and expressiveness of AI solutions. These technologies are making a tangible impact on industry-relevant challenges, improving outcomes across various sectors*.

In this presentation, we will showcase a portfolio of our projects in which we implement quantum-inspired AI solutions to address industry relevant use-cases, including synthetic data generation, fraud detection, and differential privacy. These applications not only highlight the capabilities of quantum-inspired techniques but also demonstrate how they can improve the privacy, robustness, and scalability of AI systems in real-world environments. Additionally, we will provide an overview of our exploratory quantum AI projects, aimed at uncovering the technical challenges and potential of quantum AI for industry relevant applications.

We will also discuss the importance of developing quantum project concepts and strategies within the industry sector to ensure that the sector is prepared for a seamless transition into the transformative future of quantum computing.

*CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks