10 Things You Should Know About Quantum Computing and ML
summary
Explains practical quantum ML state: NISQ devices run hybrid circuits using Hadamard and CNOT gates and libraries like Qiskit, TensorFlow Quantum, PennyLane and AWS Braket with built‑in simulators. Shows a binary classification demo on a simulator and notes simulators cap around 30–40 qubit simulators. Gives hardware options: superconducting, trapped ion, photonics. Quantifies limits and milestones: coherence times of milliseconds to nanoseconds, circuit depth ~100–200 gates, and the oft‑cited cryptography target of 6000 clean qubits (≈1M noisy). Mentions quantum natural gradients and Grover/Shor use cases.
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chapters (12)
- 0:00Intro
- 1:46Quantum Mechanics
- 3:20Quantum Fundamentals
- 6:47Quantum Algorithms
- 10:24Quantum Eras
- 13:28Error Correction
- 16:06Hardware Differences
- 18:05Quantum Programming SDKs
- 23:05Simulators
- 25:31Binary Classification
- 25:43Quantum Use Cases
- 27:09Highlights
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