Applied Quantum Computing III: Algorithm and Software from edX

This course is part III of the series of Quantum computing courses, which covers aspects from fundamentals to present-day hardware platforms to quantum software and programming.

The goal of part III is to discuss some of the key domain-specific algorithms that are developed by exploiting the fundamental quantum phenomena (e.g. entanglement)and computing models discussed in part I. We will begin by discussing classic examples of quantum Fourier transform and search algorithms, along with its application for factorization (the famous Shor’s algorithm). Next, we will focus on the more recently developed algorithms focusing on applications to optimization, quantum simulation, quantum chemistry, machine learning, and data science.

A particularly exciting recent development has been the emergence of near-intermediate scale quantum (NISQ) computers. We will also discuss how these machines are driving new algorithmic development. A key aspect of the course is to provide hands-on training for running (few qubit instances of) the quantum algorithms on present-day quantum hardware. For this purpose, we will take advantage of the availability of cloud-based access to quantum computers and quantum software.

The material will appeal to engineering students, natural sciences students, and professionals whose interests are in using as well as developing quantum technologies.

Attention:

Quantum Computing 1: Fundamentals is an essential prerequisite to Quantum Computing 2: Hardware and Quantum Computing 3: Algorithm and Software. Learners should plan to complete Fundamentals (1) before enrolling in the Hardware (2) or the Algorithm and Software (3) courses.

Alternatively, learners can enroll in courses 2 or 3 if they have solid experience with or knowledge of quantum computing fundamentals, including the following: 1) postulates of quantum mechanics; 2) gate-based quantum computing; 3) quantum errors and error correction; 3) adiabatic quantum computing; and 5) quantum applications and NISQ-era.

What's inside

Learning objectives

Quantum fourier transform and search algorithms
Hybrid quantum-classical algorithms
Quantum annealing, simulation, and optimization algorithms

Quantum machine-learning algorithms
Cloud-based quantum programming

Quantum fourier transform and search algorithms
Hybrid quantum-classical algorithms
Quantum annealing, simulation, and optimization algorithms
Quantum machine-learning algorithms
Cloud-based quantum programming

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Covers quantum Fourier transform, search, and optimization algorithms, which are foundational in the field

Designed for learners with a background in quantum computing fundamentals, including knowledge of quantum mechanics, error correction, and quantum applications

Offers hands-on training for running quantum algorithms on present-day quantum hardware through cloud-based access

Taught by Pramey Upadhyaya, who has extensive experience in quantum computing research and teaching

Part of a series of courses on quantum computing, covering fundamentals, hardware, algorithms, and software

Applicable to students and professionals in engineering, natural sciences, machine learning, and data science who want to develop expertise in quantum technologies

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 Applied Quantum Computing III: Algorithm and Software with these activities:

Quantum mechanics review

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Review the basics of quantum mechanics to strengthen your understanding of the fundamental concepts that underpin quantum computing algorithms.

Browse courses on Quantum Mechanics

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Read textbooks or online resources covering quantum mechanics.
Solve practice problems related to quantum mechanics concepts.
Attend online lectures or tutorials on quantum mechanics.

Quantum computing resource collection

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Compile a list of valuable resources, including books, articles, videos, and online courses related to quantum computing to enhance your learning and stay informed about the field.

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Conduct research to identify relevant resources.
Categorize and organize the resources based on topic or type.
Create a document or spreadsheet to store and share the collection.

Qiskit tutorials

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Follow guided tutorials using the Qiskit framework to gain practical experience in quantum programming and algorithm implementation.

Browse courses on Qiskit

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Complete the Qiskit tutorials on quantum computing basics and algorithms.
Explore the Qiskit documentation to learn about different features and functionalities.
Build small quantum programs using Qiskit and run them on real quantum hardware.

Two other activities

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Quantum computing meetups

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Attend quantum computing meetups to connect with other learners, professionals, and experts in the field to exchange ideas and stay updated on the latest advancements.

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Find quantum computing meetups in your area or online.
Attend meetups regularly to engage in discussions and learn from others.
Network with attendees to expand your professional connections.

Contribute to Quantum Computing projects

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Contribute to open-source projects related to quantum computing to gain practical experience, collaborate with others, and enhance your understanding of the field.

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Identify open-source quantum computing projects that align with your interests.
Join the project community and learn about their goals and contributions.
Make contributions to the project, such as bug fixes, feature additions, or documentation improvements.

Career center

Learners who complete Applied Quantum Computing III: Algorithm and Software will develop knowledge and skills that may be useful to these careers:

Quantum Algorithm Researcher

Quantum Algorithm Researchers are responsible for developing novel quantum algorithms that can solve complex problems more efficiently than classical algorithms. The Applied Quantum Computing III: Algorithm and Software course can be highly beneficial for aspiring Quantum Algorithm Researchers as it provides a strong foundation in quantum algorithms and their applications. The hands-on training in running quantum algorithms on present-day quantum hardware can also be invaluable for researchers seeking to develop and test new algorithms.

See salaries and explore the career path for Quantum Algorithm Researcher

Quantum Computing Software Developer

Quantum Computing Software Developers are responsible for the design, creation, and maintenance of quantum computing software. They typically work on developing algorithms and software tools that enable the efficient utilization of quantum computers. The Applied Quantum Computing III: Algorithm and Software course can be highly beneficial for individuals seeking to become Quantum Computing Software Developers as it provides a deep understanding of quantum algorithms and their applications. The course covers topics such as quantum Fourier transform and search algorithms, as well as quantum machine-learning algorithms, which are essential for developing and optimizing software for quantum computers.

See salaries and explore the career path for Quantum Computing Software Developer

Quantum Software Engineer

Quantum Software Engineers are responsible for designing, developing, and implementing software solutions for quantum computing applications. The Applied Quantum Computing III: Algorithm and Software course can be highly beneficial for aspiring Quantum Software Engineers as it provides a comprehensive understanding of quantum algorithms, their implementation, and their applications. The course also covers cloud-based quantum programming, which is an essential skill for software engineers working with quantum computers.

See salaries and explore the career path for Quantum Software Engineer

Quantum Computing Consultant

Quantum Computing Consultants are responsible for advising clients on the use of quantum computing technologies. The Applied Quantum Computing III: Algorithm and Software course can be highly beneficial for individuals seeking to become Quantum Computing Consultants as it provides a comprehensive understanding of quantum algorithms and their applications. The course also covers the business implications of quantum computing, which is essential for consultants seeking to provide valuable advice to clients.

See salaries and explore the career path for Quantum Computing Consultant

Quantum Computing Architect

Quantum Computing Architects are responsible for designing and implementing quantum computing systems and applications. The Applied Quantum Computing III: Algorithm and Software course can be highly beneficial for individuals seeking to become Quantum Computing Architects as it provides a deep understanding of quantum algorithms and their applications. The course also covers the latest developments in NISQ computers, which are driving new algorithm development.

See salaries and explore the career path for Quantum Computing Architect

Quantum Computing Educator

Quantum Computing Educators are responsible for teaching students and professionals about quantum computing technologies. The Applied Quantum Computing III: Algorithm and Software course can be highly beneficial for individuals seeking to become Quantum Computing Educators as it provides a deep understanding of quantum algorithms and their applications. The hands-on training in running quantum algorithms on present-day quantum hardware can also be invaluable for educators seeking to provide students with a practical understanding of quantum computing.

See salaries and explore the career path for Quantum Computing Educator

Quantum Computing Researcher

Quantum Computing Researchers are responsible for conducting research on quantum computing technologies and applications. The Applied Quantum Computing III: Algorithm and Software course can be highly beneficial for individuals seeking to become Quantum Computing Researchers as it provides a deep understanding of quantum algorithms and their applications. The course also covers the latest developments in quantum computing hardware and software, which is essential for researchers seeking to contribute to the advancement of the field.

See salaries and explore the career path for Quantum Computing Researcher

Quantum Computing Policy Analyst

Quantum Computing Policy Analysts are responsible for analyzing the policy implications of quantum computing technologies and advising policymakers on how to regulate and promote the development and use of these technologies. The Applied Quantum Computing III: Algorithm and Software course can be highly beneficial for individuals seeking to become Quantum Computing Policy Analysts as it provides a deep understanding of quantum algorithms and their applications. The course also covers the ethical and societal implications of quantum computing, which is essential for analysts seeking to develop and implement sound policies.

See salaries and explore the career path for Quantum Computing Policy Analyst

Theoretical Computer Scientist

Theoretical Computer Scientists are responsible for developing and analyzing theoretical models of computation. The Applied Quantum Computing III: Algorithm and Software course may be helpful for aspiring Theoretical Computer Scientists as it provides a foundation in quantum algorithms and their applications. This knowledge can be helpful for researchers seeking to develop new theoretical frameworks for quantum computing.

See salaries and explore the career path for Theoretical Computer Scientist

Machine Learning Engineer

Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models to solve complex problems. The Applied Quantum Computing III: Algorithm and Software course may be helpful for aspiring Machine Learning Engineers as it provides a foundation in quantum machine-learning algorithms. These algorithms have the potential to significantly improve the efficiency and accuracy of machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists are responsible for collecting, analyzing, and interpreting data to extract valuable insights and make informed decisions. The Applied Quantum Computing III: Algorithm and Software course may be helpful for aspiring Data Scientists as it provides a foundation in quantum machine-learning algorithms. These algorithms have the potential to significantly improve the efficiency and accuracy of data analysis tasks.

See salaries and explore the career path for Data Scientist

Quantum Chemist

Quantum Chemists are responsible for using quantum mechanics to study the properties and behavior of atoms and molecules. The Applied Quantum Computing III: Algorithm and Software course may be helpful for aspiring Quantum Chemists as it provides a foundation in quantum simulation algorithms. These algorithms have the potential to significantly improve the accuracy and efficiency of quantum chemistry simulations.

See salaries and explore the career path for Quantum Chemist

Quantum Physicist

Quantum Physicists are responsible for studying the behavior of matter at the atomic and subatomic level. The Applied Quantum Computing III: Algorithm and Software course may be helpful for aspiring Quantum Physicists as it provides a foundation in quantum algorithms and their applications. This knowledge can be helpful for physicists seeking to develop new quantum technologies and applications.

See salaries and explore the career path for Quantum Physicist

Computer Engineer

Computer Engineers are responsible for designing, developing, and testing computer hardware and software. The Applied Quantum Computing III: Algorithm and Software course may be helpful for aspiring Computer Engineers as it provides a foundation in quantum algorithms and their applications. This knowledge can be helpful for engineers seeking to develop new quantum computing architectures and devices.

See salaries and explore the career path for Computer Engineer

Software Developer

Software Developers are responsible for designing, developing, and testing software applications. The Applied Quantum Computing III: Algorithm and Software course may be helpful for aspiring Software Developers as it provides a foundation in quantum algorithms and their applications. This knowledge can be helpful for developers seeking to develop new quantum computing software and applications.

See salaries and explore the career path for Software Developer

Applied Quantum Computing III

Algorithm and Software

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