Online or onsite, instructor-led live Quantum Computing training courses demonstrate through interactive discussion and hands-on practice the fundamentals of Quantum Computing as the participants step through the development of simple quantum programs.
Quantum Computing training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Quantum Computing training can be carried out locally on customer premises in Pointe Claire or in NobleProg corporate training centers in Pointe Claire.
NobleProg -- Your Local Training Provider
Pointe Claire - Transcanada
6500 TransCanada Service Road, Pointe Claire, Canada, H9R 0A5
Designed by an industry-leading architect and equipped with the latest energy-efficient technology. Host overseas clients and travel for business easily from this sought-after location, with Montréal-Trudeau airport a 10-minute drive away.
Google Willow is an emerging quantum platform designed to accelerate research and development in quantum-AI systems.
This instructor-led, live training (online or onsite) is aimed at advanced-level practitioners who wish to explore, design, and implement next-generation quantum-AI workflows using Google Willow.
Upon completion of this training, participants will be able to:
Integrate quantum capabilities into AI pipelines using Willow’s development tools.
Evaluate hybrid computation models for performance, scalability, and precision.
Develop and test quantum-enhanced machine learning algorithms.
Assess the future potential and limitations of quantum-AI convergence.
Format of the Course
Theory-driven sessions enriched with hands-on experimentation.
Extensive practice exercises focused on hybrid modeling and algorithm design.
Practical lab work using Willow and supporting ML frameworks.
Course Customization Options
Should your team require a tailored version of this course, we invite you to contact us to discuss customization options.
Quantum error correction is a foundational approach for ensuring reliable computation on noisy quantum hardware.
This instructor-led, live training (online or onsite) is aimed at advanced-level specialists who wish to design, test, and optimize fault-tolerant quantum algorithms using Google Willow.
On successful completion of this training, participants will be able to:
Apply quantum error correction principles using real and simulated Willow environments.
Construct and analyze logical qubits for fault-tolerant computation.
Evaluate the performance of quantum codes under different noise models.
Develop workflows for scalable, resilient quantum algorithm design.
Format of the Course
Expert-led discussions supported by technical demonstrations.
Extensive applied exercises focused on error correction and stability testing.
Hands-on experimentation with Google Willow in a dedicated quantum-lab environment.
Course Customization Options
If your organization requires a tailored version of this training, please contact us for customization options.
Quantum cryptography is an emerging security paradigm leveraging the principles of quantum mechanics.
This instructor-led, live training (online or onsite) is aimed at intermediate-level specialists who wish to design secure systems using quantum-resistant and quantum-enhanced techniques on Google Willow.
Upon completion of this training, participants will be able to:
Build quantum-safe communication workflows using Google Willow.
Evaluate quantum threats to classical security protocols.
Apply quantum key distribution concepts to modern infrastructures.
Implement and test quantum-enhanced cryptographic primitives.
Format of the Course
Instructor-led presentations and guided discussions.
Extensive hands-on exercises and applied problem-solving.
Practical experimentation using Google Willow in a controlled lab setup.
Course Customization Options
To tailor this training to your organization’s needs, please contact us for customization options.
Google Willow is a cloud-based quantum computing platform that enables developers and researchers to design, test, and execute quantum algorithms.
This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to build quantum algorithms and run them on Google Willow.
At the conclusion of this training, participants will be equipped to:
Create and structure quantum circuits for experimental and applied use.
Deploy quantum algorithms using Google Willow’s interface and APIs.
Evaluate algorithm behavior and optimize quantum workflows.
Integrate quantum techniques into broader computational pipelines.
Format of the Course
Guided presentations with technical demonstrations.
Practical assignments and coding exercises.
Hands-on experimentation in a live Google Willow environment.
Course Customization Options
Custom-tailored training programs for specialized quantum algorithm research are available upon request.
Google Willow is a cloud-accessible quantum computing platform designed to support experimentation, algorithm development, and applied quantum research.
This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to explore practical industry use cases of quantum computing using Google Willow.
Upon completing this training, participants will gain the ability to:
Navigate the Google Willow environment effectively.
Evaluate real-world quantum computing applications across industries.
Run and interpret quantum algorithms for business and research contexts.
Assess the feasibility and impact of emerging quantum solutions.
Format of the Course
Expert-led presentations and applied discussions.
Hands-on exercises incorporating quantum tools and workflows.
Real-time experimentation within the Google Willow environment.
Course Customization Options
Customized versions of this course can be arranged to support specific industry requirements or research objectives.
This instructor-led, live training in Pointe Claire (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.
This instructor-led, live training in Pointe Claire (online or onsite) is aimed at beginner-level to intermediate-level business and technology leaders who wish to understand the fundamentals of quantum computing and its potential impact on industries such as cryptography, logistics and financial modeling, and learn how quantum computing could be applied within their sectors.
By the end of this training, participants will be able to:
Understand the fundamental principles of quantum computing, including qubits and quantum entanglement.
Identify potential applications of quantum computing in cryptography, logistics, and financial modeling.
Gain insight into the current limitations and future developments of quantum technology.
Recognize the basics of quantum algorithms and their impact on business challenges.
This instructor-led, live training in Pointe Claire (online or onsite) is aimed at advanced-level professionals who wish to leverage quantum computing to enhance AI capabilities.
By the end of this training, participants will be able to:
Understand hybrid AI-quantum systems and their potential applications.
Implement quantum machine learning algorithms.
Optimize AI models using quantum computing resources.
Overcome challenges in scaling and integrating quantum AI systems.
This instructor-led, live training in Pointe Claire (online or onsite) is aimed at beginner-level to intermediate-level AI professionals and AI researchers who wish to understand the fundamentals of Quantum AI and its potential applications.
By the end of this training, participants will be able to:
Grasp the basic principles of quantum mechanics as they apply to quantum computing.
Understand the workings of quantum algorithms and their implementation.
Recognize the potential of Quantum AI in revolutionizing various industries.
Develop a foundational quantum machine learning model.
Evaluate the challenges and ethical considerations of Quantum AI.
ProjectQ is an open-source quantum computing software framework in Python that enables users to express quantum circuits and translate them to multiple backend quantum hardware or simulators. The framework supports advanced optimizations, compiler engines, and back-end targeting.
This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to understand and apply ProjectQ for practical quantum programming and back-end translation.
By the end of this training, participants will be able to:
Describe the architecture and purpose of ProjectQ.
Write quantum circuits using ProjectQ’s Python API.
Use ProjectQ’s compiler engines and optimizations.
Target different quantum back ends or simulators using ProjectQ.
Format of the Course
Interactive lecture and discussion.
Hands-on coding exercises and circuit building.
Live-lab implementation targeting simulator or hardware back ends.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training in Pointe Claire, participants will learn the fundamentals of quantum computing as they step through the development of algorithms targeting quantum computers.
By the end of this training, participants will be able to:
Set up the necessary development environment to start creating quantum circuits.
Control gate behavior using the gate's native counterpart.
Improve on quibit inaccuracies using Cirq.
Write and execute a quantum circuit to run against a NISQ based quantum computer simulator.
This instructor-led, live training in Pointe Claire (online or onsite) is aimed at computer scientists and engineers who wish to understand the principles behind quantum computing and utilize them in developing algorithms for quantum computer implementations.
By the end of this training, participants will be able to:
Comprehend the fundamentals of quantum computing.
Understand and apply quantum physics concepts into computational methods.
Create algorithms for quantum computers.
Solve computational problems efficiently with quantum computers.
Integrate quantum behaviors into existing computational models.
Perceive the potential of quantum computing in the advancement of other technologies.
In this instructor-led, live training in Pointe Claire, participants will learn the fundamentals of quantum computing and Q# as they step through the development of simple quantum programs.
By the end of this training, participants will be able to:
Install and configure Microsoft's Quantum Development Kit.
Understand the concepts behind quantum computing.
Build, test, execute, and troubleshoot a quantum program using Q#, Visual Studio and a local quantum computing simulator.
This instructor-led, live training in Pointe Claire (online or onsite) is aimed at computer scientists who wish to create, edit, and invoke a quantum circuit using IBM Quantum Experience.
By the end of this training, participants will be able to:
Set up the necessary development environment to start creating quantum circuits.
Improve on inaccuracies in quibits using IBM Quantum Experience and its simulations.
Control gate behavior using the gate's native counterpart.
Schedule the time of gate events.
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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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