Quantum Computing Training in Dartmouth

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 Dartmouth (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 Dartmouth (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 Dartmouth (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 Dartmouth (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 Dartmouth, 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.