| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction | |||
| 1 - Introduction.mp4 | 68.4 MB | ||
| 10 - Milestone Project | |||
| 10 - Free Access To Ibm Quantum Platform.txt | 102.4 B | ||
| 10 - Milestone Project.mp4 | 54.1 MB | ||
| 10 - project-problem-statement.pdf | 198.4 KB | ||
| 11 - Milestone Project Solution | |||
| 11 - Free Access To Ibm Quantum Platform.txt | 102.4 B | ||
| 11 - Milestone Project Solution.mp4 | 125.3 MB | ||
| 11 - qaoa-vs-vqe-maxcut-qiskit2-4.ipynb | 30 KB | ||
| 11 - qaoa-vs-vqe-maxcut-qiskit2-executed-cells.ipynb | 205.6 KB | ||
| 12 - Outro | |||
| 12 - Bonus.mp4 | 402.9 MB | ||
| 12 - Course Feedback.txt | 0 B | ||
| 2 - History Of Computing | |||
| 2 - History Of Computing.mp4 | 192.3 MB | ||
| 3 - Foundations For Understanding Quantum Systems | |||
| 3 - Foundations For Understanding Quantum Systems.mp4 | 212 MB | ||
| 4 - Principles Of Quantum Mechanics | |||
| 4 - Principles Of Quantum Mechanics.mp4 | 271.2 MB | ||
| 5 - Quantum Evolution Dynamics | |||
| 5 - Quantum Evolution Dynamics.mp4 | 464.6 MB | ||
| 6 - Quantum Composition Entanglement | |||
| 6 - EPR-Paper.pdf | 618.3 KB | ||
| 6 - Quantum Composition Entanglement.mp4 | 702.7 MB | ||
| 7 - Quantum Algorithms | |||
| 7 - Quantum Algorithms.mp4 | 252.6 MB | ||
| 8 - Variational Quantum Eigensolver | |||
| 8 - Variational Quantum Eigensolver.mp4 | 205.6 MB | ||
| 9 - Quantum Approximate Optimization Algorithm | |||
| 9 - Quantum Approximate Optimization Algorithm.mp4 | 252.7 MB |
Quantum Computing Foundations
https://WebToolTip.com
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.13 GB | Duration: 2h 20m
Theory to Hands-On Practice with Qiskit
What you'll learn
Explain fundamental quantum principles like superposition and entanglement and how they differ from classical computing constraints
Apply linear algebra, Dirac notation, and Hamiltonians to model quantum states, gates, and the evolution of multi-qubit systems
Construct hybrid algorithms like VQE and QAOA to solve combinatorial optimization problems by mapping them to Ising Hamiltonians
Program quantum circuits using Qiskit to run experiments on simulators and real IBM Quantum hardware to solve the Max-Cut problem
Requirements
Skills & Experience
Familiarity with matrices, vectors, and basic operations (the course uses Dirac notation and matrix multiplication)
High School Physics: A fundamental understanding of basic physical concepts (e.g., energy, motion) to help contextualize quantum phenomena.
Basic Programming Knowledge: Final project involves programming in Python using Qiskit and Jupyter Notebooks, so basic coding comfort is highly recommended.
Tools & Equipment
Computer: A desktop or laptop capable of running Python and Jupyter Notebooks.
Internet Access: Required to access course materials and connect to IBM’s quantum processors via the cloud.
IBM Quantum Account: You will need to create a free account with IBM Quantum to deploy your project code to real hardware.
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| 2.4 GB | freecoursewb | 2 weeks | 1 | 35 | |
| 1.4 GB | freecoursewb | 2 weeks | 1 | 70 | |
| 3.7 GB | freecoursewb | 2 weeks | 1 | 18 | |
| 775.5 MB | freecoursewb | 3 weeks | 0 | 0 | |
| 3.8 GB | freecoursewb | 3 weeks | 1 | 79 |
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