The Data Exchange with Ben Lorica The Quantum Advantage Is Real—But Where's the Infrastructure?
Jul 24, 2025
Jennifer Prendki, a former DeepMind expert in AI and quantum computing, shares insights on the current landscape of quantum technology. She highlights the rise of specialized quantum accelerators designed for AI in sectors like finance and pharma. The main challenge isn’t just hardware, but the need for innovative software solutions due to fundamental principles like the no-cloning theorem. Prendki emphasizes the importance of integrating quantum data with classical systems and discusses how quantum computing could revolutionize machine learning and data analysis.
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Quantum Computing Use Cases Today
- Jennifer Prendki shared how quantum computers are already used for fast inference in AI applications like finance and pharma.
- These use cases are tangible but not yet widely in production.
Quantum Machine Learning in Recommendations
- Jennifer Prendki cited a realistic quantum machine learning use case: recommendation systems.
- These are tested now in production but quantum advantage is still emerging.
Quantum Technologies Vary in Setup Needs
- Various quantum technologies require different operating conditions like extreme cooling.
- Some quantum computers may soon operate at or near room temperature, easing practical deployment.