Quantum Computing with Python
summary
Hands-on Python notebooks demonstrate building circuits, creating Bell and GHZ entangled states, and running them on a simulator and on IBM cloud hardware via Kiskit and IBM runtime; examples show measurement counts (≈515 vs 509) and explain transpiling to device ISAs, samplers versus estimators, and how phase/entanglement affects readout. Notebooks live on a Google Drive link and run in Colab with an API token giving ~10 free minutes on real backends, QR code provided for access.
AI-written summary · about
chapters (8)
- 0:00Quantum computing with Python
- 3:45Quantum technology basics
- 11:20Classical vs quantum bits
- 28:08Entanglement and states
- 35:25First circuit with Qiskit
- 55:56Single-qubit exercises
- 1:05:00Running on real hardware
- 1:27:01Q&A
related talks
27mQuantum Computing with Python: From Qubits to Circuits
03h 06mQiskit for Python Developers – Workshop
42mQuantum computing without leaving Python behind
27mWhat are quantum computers, and how can we train them in Python?
43mAlternative Introduction to Quantum Computers
30m"Quantum Computing with Qiskit in Galaxy"
26mBuilding Quantum Computers with Python: Hardware Design Lessons
01h 36mHands on Quantum Computer
