

Episode 78: Quantum Machine Learning with Bruna Shinohara
May 31, 2024
Bruna Shinohara, an expert from CMC Microsystems, dives into the cutting-edge realm of quantum machine learning. She contrasts quantum techniques with traditional methods and discusses the unique complexities of quantum data. Bruna highlights the power of qubits and quantum algorithms like Grover's in enhancing machine learning efficiency. The conversation also covers the challenges of dimensionality reduction and the iterative nature of integrating quantum computing with classical methods, revealing exciting potential for future advancements.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Intro
00:00 • 3min
Exploring the Nuances of Quantum Machine Learning
02:43 • 4min
Exploring Quantum Algorithms and Complexity
06:29 • 16min
Navigating Quantum Machine Learning
22:01 • 21min
Quantum Machine Learning and PCA
43:12 • 5min
Understanding Dimensionality Reduction in Quantum Machine Learning
47:52 • 3min