Practical Quantum Computing Training Course

This instructor-led, live training in New Zealand (online or onsite) is designed for advanced-level professionals seeking to harness 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.
• Optimise AI models using quantum computing resources.
• Overcome challenges in scaling and integrating quantum AI systems.

This instructor-led, live training in New Zealand (online or on-site) is aimed at data scientists who wish to leverage the Anaconda ecosystem to capture, manage, and deploy packages and data analysis workflows within a single platform.

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

• Install and configure Anaconda components and libraries.
• Understand the core concepts, features, and benefits of Anaconda.
• Manage packages, environments, and channels using Anaconda Navigator.
• Use Conda, R, and Python packages for data science and machine learning.
• Explore practical use cases and techniques for managing multiple data environments.

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 on-site) 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.

Course Format

• Expert-led presentations and applied discussions.
• Hands-on exercises incorporating quantum tools and workflows.
• Real-time experimentation within the Google Willow environment.

Course Customisation Options

• Customised versions of this course can be arranged to support specific industry requirements or research objectives.

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.

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

• Create and structure quantum circuits for both experimental and practical applications.
• Deploy quantum algorithms using Google Willow's interface and APIs.
• Assess algorithm behaviour and optimise quantum workflows.
• Integrate quantum techniques into broader computational pipelines.

Course Format

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

Course Customisation Options

• Custom-tailored training programmes for specialised quantum algorithm research are available upon request.

In this instructor-led, live training in New Zealand, participants will learn the fundamentals of quantum computing as they progress through the development of algorithms targeted at 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 behaviour using the gate's native counterpart.
• Improve 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 New Zealand (online or on-site) is designed for 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 New Zealand (available online or on-site) is tailored for data scientists and developers who aspire to learn and advance their careers in data science using Kaggle.

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

• Gain a solid understanding of data science and machine learning.
• Explore the fundamentals of data analytics.
• Learn how Kaggle operates and leverage its features effectively.

This instructor-led, live training in New Zealand (available online or on-site) is tailored for data scientists and developers who wish to utilise Modin to build and implement parallel computations with Pandas, enabling faster data analysis.

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

• Set up the necessary environment to begin developing scalable Pandas workflows with Modin.
• Understand the features, architecture, and advantages of Modin.
• Identify the key differences between Modin, Dask, and Ray.
• Execute Pandas operations more efficiently using Modin.
• Implement the full Pandas API and its associated functions.

ProjectQ is an open-source quantum computing software framework written in Python that enables users to define quantum circuits and compile them for execution on a variety of quantum hardware back ends or simulators. The framework supports advanced optimisation, custom compiler engines, and flexible back-end targeting.

This instructor-led, live training (available online or on-site) is designed for intermediate-level developers who wish to understand and apply ProjectQ for practical quantum programming and back-end compilation.

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

• Explain the architecture and purpose of ProjectQ.
• Write quantum circuits using ProjectQ's Python API.
• Leverage ProjectQ's compiler engines and optimisation techniques.
• Target different quantum back ends or simulators using ProjectQ.

Course Format

• Interactive lectures and discussion.
• Hands-on coding exercises and circuit construction.
• Live lab sessions targeting simulator or hardware back ends.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

Quantum cryptography is an emerging security paradigm that leverages the principles of quantum mechanics.

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

Upon completing 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.

Course Format

• Instructor-led presentations and guided discussions.
• Extensive hands-on exercises and applied problem-solving.
• Practical experimentation using Google Willow in a controlled lab environment.

Course Customisation Options

• To tailor this training to your organisation's needs, please contact us for customisation 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 optimise 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 analyse 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 Customisation Options

• If your organisation requires a tailored version of this training, please contact us for customisation options.

This instructor-led, live training in New Zealand (available online or on-site) is designed for computer scientists and engineers seeking to understand the principles underpinning quantum computing and apply 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 within computational methods.
• Create algorithms tailored for quantum computers.
• Solve computational problems efficiently using quantum computers.
• Integrate quantum behaviours into existing computational models.
• Appreciate the potential of quantum computing to advance other technologies.

This instructor-led, live training in New Zealand (online or on-site) is designed for beginner to intermediate-level AI professionals and 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 how quantum algorithms work and how they are implemented.
• Recognise the potential of Quantum AI to revolutionise various industries.
• Develop a foundational quantum machine learning model.
• Evaluate the challenges and ethical considerations associated with Quantum AI.

In this instructor-led, live training in New Zealand, participants will explore the fundamentals of quantum computing and Q# by working 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 core concepts underpinning 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 New Zealand (available online or on-site) is intended for data scientists and developers who wish to use RAPIDS to build GPU-accelerated data pipelines, workflows, and visualisations, applying machine learning algorithms such as XGBoost, cuML, and others.

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

• Set up the necessary development environment to build data models with NVIDIA RAPIDS.
• Understand the features, components, and benefits of RAPIDS.
• Leverage GPUs to accelerate end-to-end data and analytics pipelines.
• Implement GPU-accelerated data preparation and ETL processes using cuDF and Apache Arrow.
• Learn how to perform machine learning tasks with XGBoost and cuML algorithms.
• Build data visualisations and carry out graph analysis using cuXfilter and cuGraph.