Google Willow - Quantum AI Training in Ontario

Google Willow - Quantum AI Training in Ontario, Canada

This course provides a deep, practical understanding of Google Willow, Google’s next-generation experimental Quantum AI architecture.

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Google Willow - Quantum AI Training is a professional training program delivered by ProgNXT in Ontario, Canada. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Google Willow - Quantum AI Training course with hands-on, instructor-led sessions. This course provides a deep, practical understanding of Google Willow, Google’s next-generation experimental Quantum AI architecture. Participants...

Expert Panel

Designed and delivered by the ProgNXT Cloud Computing Expert Panel — a vetted team of industry professionals with 17+ years of hands-on experience in AWS, Microsoft Azure, Google Cloud, and cloud architecture

ProgNXT Cloud Computing Expert Panel

Course Code: FSR60
21 Hrs
Last Updated: May 2026

Course Rating5/5

This course provides a deep, practical understanding of Google Willow, Google’s next-generation experimental Quantum AI architecture. Participants will explore quantum computing foundations, Cirq programming, quantum machine learning, Willow hardware characteristics, and quantum workload deployment on Google’s Quantum AI infrastructure.
The program combines theory, hands-on labs, and real-world simulations to prepare learners for advanced quantum research, algorithm development, and quantum AI integration.

Welcome to the official Google Willow - Quantum AI Training certification program in Ontario, Canada. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Participants should have:

Basic Python programming knowledge
Understanding of linear algebra & probability (recommended)
Familiarity with classical machine learning concepts (optional but useful)
Basic understanding of quantum computing concepts (preferred but not mandatory)
A laptop with Python 3.10+ and Google Cloud SDK (for labs)

By the end of this training, participants will be able to:

Understand Google Willow’s quantum architecture and qubit model
Develop and simulate quantum circuits using Cirq and qsim
Build hybrid quantum–classical ML models using TensorFlow Quantum
Implement key quantum algorithms (QFT, Grover, VQE, QAOA)
Optimize circuits for Willow hardware constraints
Handle noise, error modeling, and basic error mitigation techniques
Submit, run, and analyze quantum jobs using Google Quantum AI tools
Build end-to-end Quantum AI pipelines

Quantum Computing Skills
Google Willow & Quantum AI Skills
Programming and ML Skills
Cloud and Integration Skillls

Quantum circuit creation & simulation tasks
Cirq programming assignments
Implementing and running classical–quantum hybrid ML models
Hardware-aware optimization for Willow architecture
Noise modeling and error mitigation exercises

Participants who attend all sessions and successfully complete the course assessments will receive a ProgNXT Certificate of Completion.

Quantum Foundations & Google Willow Architecture

Quantum Computing Foundations

Classical vs quantum logic
Qubits, Bloch sphere, superposition
Quantum gates: X, Y, Z, H, S, T, CX
Measurement and amplitudes

Google Quantum AI Ecosystem

Google Quantum AI research labs
Willow vs Sycamore architecture
Quantum processor environment & control electronics
Google’s “quantum supremacy” experiments

Google Willow Architecture

Willow qubit specifications
Qubit connectivity, fidelity & coherence
Processor size, topology & noise models
Use cases and performance characteristics

Cirq Fundamentals

Installing Cirq & qsim
Understanding circuits & moments
Creating custom gates
Visualizing and testing circuits

Quantum Algorithms, Variational Models & Quantum ML

Quantum Algorithms for Willow

Grover’s Algorithm
Quantum Fourier Transform (QFT)
Variational Quantum Algorithms (VQE, QAOA)
Random Circuit Sampling

TensorFlow Quantum

Hybrid classical–quantum architecture
Handling quantum data & circuits
Creating QML models in TFQ

Quantum AI Applications

Optimization challenges
Chemistry & material simulation
Machine learning speedups
Quantum-enhanced AI scenarios

Advanced Cirq, Error Mitigation & Cloud Deployment

Advanced Cirq Features

Parametric circuits
Advanced gates & operations
Circuit transpilation and optimization
Running tasks using Google Quantum AI APIs

Error Mitigation & Calibration

Types of quantum noise
Readout, gate, decoherence errors
Willow’s error characteristics
Mitigation techniques

Future & Ethical Considerations

Post-quantum cryptography
Responsible AI in quantum applications
Industry readiness & roadmap

Hands-on Exercises

Summary and Conclusion

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants will be evaluated based on: Daily quizzes, mock questions and query resolution. Group Discussion and Case Study Discussion. Assessment will be through hands-on labs, quizzes, and hands-on exercises.

ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Google Willow - Quantum AI Training Events in ontario

Online Events

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More Upcoming Session Dates

October 2026

📍 Ontario, Canada

20th Oct 2026→22nd Oct 2026

🌐 Online Instructor-Led

26th Oct 2026→28th Oct 2026

November 2026

📍 Ontario, Canada

6th Nov 2026→8th Nov 2026

🌐 Online Instructor-Led

7th Nov 2026→9th Nov 2026

📍 Ontario, Canada

25th Nov 2026→27th Nov 2026

🌐 Online Instructor-Led

27th Nov 2026→29th Nov 2026

December 2026

📍 Ontario, Canada

3rd Dec 2026→5th Dec 2026

🌐 Online Instructor-Led

4th Dec 2026→6th Dec 2026

📍 Ontario, Canada

26th Dec 2026→28th Dec 2026

🌐 Online Instructor-Led

28th Dec 2026→30th Dec 2026

Events for other courses in Ontario, Canada

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Google Willow - Quantum AI Training in Ontario