Learn about The Qiskit Ecosystem in this comprehensive AI & Artificial Intelligence tutorial. Terra, Aer, Ignis, and Aqua.
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Qiskit is built on a four-pillar architecture. Terra (Core), Aer (Simulators), Ignis (Noise), and Aqua (Algorithms). For QML, we primarily use Terra and the dedicated Machine Learning module.
By providing access to real hardware, Qiskit has democratized quantum research, allowing anyone with a Python environment to run experiments on state-of-the-art processors.
Pascual Vila
Frontend Instructor // Code Syllabus
A tool that converts logical circuits to hardware-specific ones.
// Transpiler contextThe Qiskit simulator framework.
// Aer contextA dictionary of measurement results.
// Counts contextChallenges In Quantum Hardware
Grover And Shor Algorithms
Intro To Quantum Machine Learning
Intro To Quantum Mechanics
Capstone Building A Quantum Classifier
Penny Lane For Quantum ML