The Physics of AI
summary
Claims that quantum entanglement provides a practical classification advantage: experiments use superconducting qubits, microwave control via coaxial wiring inside a 15 milliKelvin dilution refrigerator, and show entanglement improves classification (entanglement depth 1→2 raises accuracy versus no entanglement). Classical simulation scales exponentially (35 qubits → ~550 GB, 100 qubits exceed atoms on Earth, 280 qubits exceed atoms in the universe). Three IBM quantum computers sit on the cloud and host >80,000 users, ~4 million experiments and ~70 papers within weeks.
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chapters (8)
- 0:00The future of AI hardware
- 1:14Roadmap for AI acceleration
- 2:04Quantum computing and AI
- 3:23The power of entanglement
- 5:55Exponential costs of classical
- 7:18Real-world quantum hardware
- 8:54Quantum machine learning
- 10:36Building the quantum community
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