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Intro to Transpilation - Matthew Treinish - QDC24
Understanding Noise in Near-Term Quantum Computers with Haimeng Zhang: Qiskit Summer School 2024
Superconducting Qubits: design, analysis, energy & Qiskit Metal
Why Quantum What Problem Are We Solving | Roland de Putter | QGSS26
Quantum Algorithms Pt. 4 Optimization | Sabina Dragoi |QGSS26
Qiskit Functions: Faster Quantum Coding with IBM Experts
Run Large-Scale Quantum Circuits (100+ Qubits Explained)
Start Writing Quantum Code with Abby Mitchell: Qiskit Summer School 2024
Single Systems | Understanding Quantum Information & Computation | Lesson 01
Why Qiskit Is the Most Performant Quantum SDK - with Dr. Blake Johnson
03 - Anatomy of a Qiskit Program: Core Components and Workflow
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Last Updated: September 30, 2026
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Quantum computing is rapidly crossing the chasm from low-level physics experiments to practical, enterprise-grade ... Join us in a two-part series to explore all four In this video we cover the primitives available within the When working with near-term quantum computers, it is essential to understand noise and its effect on algorithm implementation. Dr. Zlatko Minev presented on Superconducting Qubits: design, analysis, energy and Roland de Putter speaks about why quantum computing matters and what problems it aims to solve for this year's Sabina Dragoi speaks about quantum algorithms for optimization for this year's In this course we will discuss application areas of importance, error mitigation strategies, and best practices for This is part of the Understanding Quantum Information & Computation series. Watch the full playlist here: ...