Introduction to Quantum AI Training Course

This instructor-led, live training in Slovakia (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.

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.

Google Willow serves as a cloud-based quantum computing platform, empowering developers and researchers to design, test, and run quantum algorithms.

This instructor-led live training, available either online or on-site, targets intermediate-level professionals aiming to develop quantum algorithms and execute them using Google Willow.

Upon completing this training, participants will be capable of:

• Constructing and organizing quantum circuits for both experimental and practical applications.
• Deploying quantum algorithms via Google Willow’s interface and APIs.
• Assessing algorithm behavior and refining quantum workflows.
• Integrating quantum methods into larger computational pipelines.

Course Format

• Guided presentations supported by technical demonstrations.
• Practical assignments and coding exercises.
• Hands-on experimentation within a live Google Willow environment.

Course Customization Options

• Bespoke training programs for specialized quantum algorithm research can be requested.

In this instructor-led live training in Slovakia, participants will learn the fundamentals of quantum computing by stepping 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 begin creating quantum circuits.
• Control gate behavior using the gate's native counterpart.
• Mitigate qubit inaccuracies using Cirq.
• Write and execute a quantum circuit to run against a NISQ-based quantum computer simulator.

This instructor-led, live training in Slovakia (online or in-person) is designed for beginners who want to understand the fundamentals of quantum computing, explore Google Willow's capabilities, and learn how to start with quantum programming.

Upon completing this training, participants will be able to:

• Grasp the core concepts of quantum computing and qubits.
• Investigate Google Willow and its progress in quantum error correction.
• Create and run basic quantum programs using Qiskit.
• Recognize practical applications of quantum computing.

ProjectQ is an open-source quantum computing software framework written in Python that allows users to define quantum circuits and translate them for various backend quantum hardware platforms or simulators. The framework offers advanced optimization capabilities, compiler engines, and back-end targeting features.

This instructor-led live training (available online or onsite) is designed for intermediate-level developers who want to understand and apply ProjectQ for practical quantum programming and back-end translation.

Upon completion of this training, participants will be able to:

• Explain the architecture and purpose of ProjectQ.
• Create quantum circuits using ProjectQ’s Python API.
• Utilize ProjectQ’s compiler engines and optimization tools.
• Target various quantum back-ends or simulators using ProjectQ.

Course Format

• Interactive lectures and discussions.
• Practical coding exercises and circuit construction.
• Live-lab implementation targeting simulator or hardware back-ends.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

Quantum cryptography represents an emerging security paradigm that utilizes the fundamental principles of quantum mechanics.

This instructor-led live training, available both online and onsite, is designed for intermediate-level specialists seeking to design secure systems using quantum-resistant and quantum-enhanced techniques on Google Willow.

After completing this training, participants will be equipped to:

• Develop quantum-safe communication workflows utilizing Google Willow.
• Assess the quantum threats posed 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 specific needs, please contact us to explore customization options.

Quantum error correction is essential for achieving reliable computation on noisy quantum hardware.

This instructor-led live training (available online or onsite) is designed for advanced specialists who want to design, test, and optimize fault-tolerant quantum algorithms using Google Willow.

Upon completing this training, participants will be able to:

• Apply quantum error correction principles in both real and simulated Willow environments.
• Build and analyze logical qubits to enable fault-tolerant computation.
• Assess quantum code performance under various noise models.
• Create workflows for scalable and resilient quantum algorithm design.

Course Format

• Expert-led discussions backed by technical demonstrations.
• Comprehensive practical exercises focused on error correction and stability testing.
• Hands-on experimentation with Google Willow within a dedicated quantum-lab environment.

Customization Options

• If your organization needs a customized version of this training, please reach out to us to discuss customization options.

This instructor-led, live training in Slovakia (online or onsite) is designed for beginner to intermediate business and technology leaders who want to understand the fundamentals of quantum computing and its potential impact on sectors like 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.

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.