Introduction to Quantum Computing with Google Willow Training Course
Quantum computing is revolutionizing problem-solving in fields like cryptography, material science, and AI (artificial intelligence). Google's Willow chip represents a significant breakthrough in quantum computing efficiency and error correction.
This instructor-led, live training (online or onsite) is aimed at beginner-level participants who wish to understand the fundamentals of quantum computing, explore Google Willow’s capabilities, and learn how to get started with quantum programming.
By the end of this training, participants will be able to:
- Understand the principles of quantum computing and qubits.
- Explore Google Willow and its advancements in quantum error correction.
- Write and execute basic quantum programs using Qiskit.
- Identify real-world applications of quantum computing.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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Course Outline
Introduction to Quantum Computing
- Classical vs. quantum computing
- Fundamental principles: superposition and entanglement
- Quantum gates and circuits
Overview of Google Willow
- Google’s advancements in quantum computing
- Willow’s architecture and 105-qubit design
- Error correction breakthroughs with Willow
Quantum Programming Fundamentals
- Setting up Qiskit for quantum programming
- Writing and running basic quantum circuits
- Simulating quantum computations
Quantum Algorithms and Applications
- Introduction to quantum algorithms
- Applications in cryptography and optimization
- How Google Willow enhances quantum performance
Hands-on Labs and Real-World Use Cases
- Building simple quantum circuits
- Exploring quantum computing simulations
- Analyzing industry applications of quantum computing
Future of Quantum Computing
- Challenges and opportunities in quantum computing
- Emerging trends in quantum hardware and software
- Next steps for learning and career paths
Summary and Next Steps
Requirements
- Basic understanding of mathematics and linear algebra
- Familiarity with programming (preferably Python)
- No prior quantum computing knowledge required
Audience
- IT professionals transitioning into quantum computing
- Tech enthusiasts exploring quantum computing
14 Hours
Open Training Courses require 5+ participants.
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Testimonials (1)
Quantum computing algorithms and related theoretical background know-how of the trainer is excellent. Especially I'd like to emphasize his ability to detect exactly when I was struggling with the material presented, and he provided time&support for me to really understand the topic - that was great and very beneficial! Virtual setup with Zoom worked out very well, as well as arrangements regarding training sessions and breaks sequences. It was a lot of material/theory to cover in "only" 2 days, wo the trainer had nicely adjusted the amount according to the progress related to my understanding of the topics. Maybe planning 3 days for absolute beginners would be better to cover all the material and content outlined in the agenda. I very much liked the flexibility of the trainer to answer my specific questions to the training topics, even additionally coming back after the breaks with more explanation in case neccessary. Big thank you again for the sessions! Well done!
Giorgi Ediberidze
Course - Quantum Computing with IBM Quantum Experience
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