Getting Started with Quantum Machine Learning from Coursera

In this 2-hour long project-based course, you will learn basic principles of how machine learning can benefit from work, and how this can be implemented in Python using the Pennylane library by Xanadu. The Future is Quantum. You've heard the hype. Quantum Computing represents a completely new paradigm in the computing realm, posed to revolutionize entire industries and bring amazing new innovations as they are used for purposes such as material design, pharmaceutical design, genetic and molecular simulations, and weather simulations. The most exciting advancement just may be in the field of Artificial Intelligence and Machine Learning. Quantum computers can theoretically speed up matrix multiplications and process massive amounts of data very quickly, and thus may represent a paradigm shift in AI and ML. Most of this work is yet to be done. That's where you come in. In this project, you will learn how to utilize several software libraries to code quantum algorithms and encode data for use in both classical simulations of quantum devices or actual quantum devices that are available for use over the Internet through vendors such as IBM. I would encourage learners to experiment- How easy is it to add more layers without using frameworks like Tensorflow? What if we add more nodes? What limitations do we come across? The learner is highly encouraged to experiment beyond the scope of the course. Note: This course works best for learners who are based in the North America region. Weâ€™re currently working on providing the same experience in other regions.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

May be a good fit for an academic audience

May align with a learner's personal or professional growth and development goals

May require learners to have some prior experience with the topic or related topics

May benefit learners who seek to gain a foundation in this topic

May be relevant to learners in the North America region

May be more appropriate for learners who have access to additional items and goods

Reviews summary

Quantum machine learning primer

This 2-hour, project-based course provides a basic overview of quantum machine learning using the Pennylane library by Xanadu. Some learners found the course superficial and unoriginal while others appreciated it as a starting point. The course is best suited for learners based in North America due to infrastructure limitations.

Virtual environment had limited functionality.

"the programming setup in virtual environment was almost nonexistent."

Learners should have foundational knowledge in quantum computing and machine learning.

"Perfect to explore and enhance skills in Quantum Machine Learning. However if you want to know how it works - you will need to learn Quantum Computing and Machine Learning prior to this."

Course provides basic overview of quantum machine learning.

"It is not a guided project, but a superficial, guided tour of the Pennylane website and documenation."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Getting Started with Quantum Machine Learning with these activities:

Read Quantum Computing: The Quantum Revolution

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Get a comprehensive overview of quantum computing concepts, from the basics to advanced topics.

View Quantum Computation and Quantum Information:... on Amazon

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Read the book cover-to-cover.
Take notes on key concepts and ideas.
Complete the exercises and problems provided in the book.

Write a Report on a Quantum Computing Research Paper

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Deepen your understanding of a specific quantum computing topic by writing a report on a research paper.

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Select a quantum computing research paper.
Read the paper and take notes on its key points.
Write a report summarizing the research paper.

Build a Quantum Neural Network

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Apply your knowledge of quantum computing to a practical project by building a quantum neural network.

Browse courses on Quantum Machine Learning

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Design the architecture of your quantum neural network.
Implement the quantum neural network using a quantum programming language.
Train the quantum neural network on a dataset.
Evaluate the performance of your quantum neural network.

Show all three activities

Career center

Learners who complete Getting Started with Quantum Machine Learning will develop knowledge and skills that may be useful to these careers:

Quantum Machine Learning Engineer

The field of Quantum Machine Learning is steadily introducing new and exciting jobs to the workforce. Quantum Machine Learning Engineers are tasked with not just developing, but also deploying and maintaining quantum machine learning models. This role in particular requires a deep understanding of quantum computing and machine learning. Getting Started with Quantum Machine Learning provides a solid foundation in the basic principles of quantum machine learning, which is a critical step for any Quantum Machine Learning Engineer. Through projects and hands-on experience, learners will gain the confidence to develop and improve quantum machine learning models.

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Data Scientist

Data Scientists need to be well-versed in many different areas of expertise, including quantum machine learning. Getting Started with Quantum Machine Learning can help any Data Scientist build a foundation in quantum computing and machine learning that they can apply in their work. With this foundation, Data Scientists will be able to develop, deploy, and maintain quantum machine learning models to improve their work.

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Quantum Computing Researcher

Quantum Computing Researchers are tasked with developing new algorithms and techniques for using quantum computers. Getting Started with Quantum Machine Learning will be enormously helpful to any Quantum Computing Researcher looking to get into the field of quantum machine learning. The projects and hands-on experience in this course will help researchers build the confidence they need to develop new quantum machine learning models and improve existing ones.

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Artificial Intelligence Engineer

Artificial Intelligence Engineers design, develop, and maintain AI systems. Getting Started with Quantum Machine Learning may be helpful to Artificial Intelligence Engineers looking to get into the field of quantum machine learning. This course can help Engineers build the foundation in quantum computing that they need to be successful in this new field.

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Machine Learning Engineer

Machine Learning Engineers develop and maintain machine learning models. Getting Started with Quantum Machine Learning may be helpful to Machine Learning Engineers looking to get into the field of quantum machine learning. This course can help Engineers build the foundation in quantum computing that they need to be successful in this new field.

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Quantum Algorithm Developer

Quantum Algorithm Developers design and implement algorithms for quantum computers. Getting Started with Quantum Machine Learning may be helpful to Quantum Algorithm Developers looking to get into the field of quantum machine learning. With this course, Developers will be able to develop the foundation in quantum computing that they need to be successful in this new field.

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Quantum Software Engineer

Quantum Software Engineers are responsible for writing, testing, and maintaining software for quantum computers that handles quantum algorithms and other quantum tasks. As quantum computing is still very new, Getting Started with Quantum Machine Learning may be helpful to Quantum Software Engineers looking to get into the field of quantum machine learning. With this course, Engineers will be able to develop the foundation in quantum computing that they need to be successful in this new field.

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Cloud Software Engineer

Cloud Software Engineers develop and maintain software for cloud computing platforms. Getting Started with Quantum Machine Learning may be helpful to Cloud Software Engineers looking to get into the field of quantum machine learning. With this course, Engineers will be able to develop the foundation in quantum computing that they need to be successful in this new field.

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Software Developer

Software Developers write, test, and maintain software for a variety of clients and purposes. Getting Started with Quantum Machine Learning may be helpful to Software Developers looking to get into the field of quantum machine learning. With this course, Developers will be able to develop the foundation in quantum computing that they need to be successful in this new field.

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Database Administrator

Database Administrators manage and maintain databases, which can be used to store and organize large amounts of data. Getting Started with Quantum Machine Learning may be helpful to Database Administrators looking to get into the field of quantum machine learning. With this course, Administrators can build a foundation in quantum computing and can begin to apply it to data management.

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Systems Administrator

Systems Administrators are responsible for maintaining and managing computer systems. Getting Started with Quantum Machine Learning may be helpful to Systems Administrators looking to get into the field of quantum machine learning. With this course, Administrators can build a foundation in quantum computing and can begin to apply it to system management.

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Computer Programmer

Computer Programmers write, test, and maintain computer programs. Getting Started with Quantum Machine Learning may be helpful to Computer Programmers looking to get into the field of quantum machine learning. With this course, Programmers will be able to develop the foundation in quantum computing that they need to be successful in this new field.

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Data Analyst

Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. Getting Started with Quantum Machine Learning may be helpful to Data Analysts looking to get into the field of quantum machine learning. With this course, Analysts will be able to develop the foundation in quantum computing that they need to be successful in this new field.

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Information Technology Specialist

Information Technology Specialists provide technical support and guidance to users of computer systems and software. Getting Started with Quantum Machine Learning may be helpful to Information Technology Specialists looking to get into the field of quantum machine learning. With this course, Specialists will be able to develop the foundation in quantum computing that they need to be successful in this new field.

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Computer Scientist

Computer Scientists conduct research in computer science and develop new technologies. Getting Started with Quantum Machine Learning may be helpful to Computer Scientists looking to get into the field of quantum machine learning. With this course, Scientists will be able to develop the foundation in quantum computing that they need to be successful in this new field.

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