We overview a series of online quantum computer courses and programs on quantum computing and quantum technologies available from EdX, which is one of the world’s largest educational online platforms and allows people to learn topics like quantum computing from just about anywhere. Check out the courses via our sponsored links.

Quantum computing represents a revolutionary approach to computation, leveraging the principles of quantum mechanics to process information. Unlike classical computers, which use bits as the basic unit of information represented by 0s and 1s, quantum computers use quantum bits or qubits. These qubits can exist in multiple states simultaneously, a property known as superposition, and can be entangled with each other, a unique quantum phenomenon where the state of one qubit is dependent on the state of another, no matter the distance between them.

StanfordOnline: Quantum Mechanics for Scientists and Engineers Part 1

The StanfordOnline course “Quantum Mechanics for Scientists and Engineers 1” is a comprehensive 9-week program designed to make quantum mechanics accessible to a broad audience, including those with a college-level background in physical science or engineering. Rated 4.5 stars based on 18 ratings, this course highlights the growing relevance of quantum mechanics beyond traditional fields like physics and chemistry, extending its importance to modern areas such as materials science, nanotechnology, electronic devices, and photonics. The curriculum offers a substantial introduction to the principles and applications of quantum mechanics, tailored not just for physicists but also for students and professionals across various science and engineering disciplines. This approach underscores the course’s commitment to providing a foundational understanding of quantum mechanics in a way that is relevant and applicable to a range of contemporary scientific and technological challenges.

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UChicagoX: Introduction to Quantum Computing for Everyone

Introduction to Quantum Computing for Everyone,” offered by UChicagoX, is an accessible and beginner-friendly course designed for those with just a basic understanding of algebra. This five-week, self-paced course requires a commitment of 3-5 hours per week and is available for free, with an optional upgrade for additional benefits. Rated 4.0 stars based on 21 ratings, the course aims to demystify quantum computing for novices. It starts with the future impacts of quantum computing, offering intuitive insights into quantum physics phenomena. The curriculum progresses logically from explaining single quantum operations to constructing a complete quantum algorithm, making it an ideal starting point for anyone interested in understanding the fundamentals of quantum computing without the need for extensive prior knowledge in physics or advanced mathematics.

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GeorgetownX: Quantum Mechanics for Everyone

“Quantum Mechanics for Everyone” by GeorgetownX is a highly acclaimed online course, rated 4.8 stars based on 6 ratings, and recognized as one of the best online courses of all time by Class Central. It was also a finalist for the 2018 edX Prize for Exceptional Contributions to Online Teaching and Learning. This course demystifies quantum mechanics, making it accessible to a broad audience without requiring a background in physics. Spanning 6 weeks and requiring 7–10 hours of study per week, it is an instructor-paced, instructor-led course that follows a structured schedule. The course is designed to impart fundamental concepts of quantum mechanics in an engaging and comprehensible manner, catering to learners from diverse backgrounds who are interested in understanding this pivotal area of modern physics.

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Quantum Computer Systems Design

The Professional Certificate in Quantum Computer Systems Design offered by UChicagoX focuses on integrating classical software techniques with quantum systems to enhance their reliability and efficiency. This course is designed to provide a comprehensive understanding of the overall design of quantum systems, emphasizing the synergy between software and hardware. It aims to equip learners with specialized skills in quantum software development, enhancing their competitiveness in the job market. The curriculum delves into the fundamental principles of quantum computing, including key concepts like the Bloch Sphere and Feynman Path Sum, and explores practical aspects such as sequential and parallel execution of gates, EPR pairs, no-cloning theorem, and teleportation. The course also covers medium-size algorithms suitable for NISQ (Noisy Intermediate-Scale Quantum) computers, focusing on microarchitecture, program compilation, and memory management in quantum systems. Students gain hands-on experience using IBM QisKit software tools, writing simple quantum programs, and executing them on quantum hardware accessible via the cloud. The course utilizes the textbook “Quantum Computer Systems (QCS)” by Ding and Chong, providing a structured and in-depth approach to systems research in quantum computing.

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University_of_TorontoX: Quantum Machine Learning

The “Quantum Machine Learning” course offered by the University of Toronto, available on platforms like edX, addresses the emerging intersection of quantum computing and machine learning. As quantum computers are increasingly becoming a reality, this course explores their potential applications in the field of machine learning. It provides an introduction to various quantum machine learning algorithms and offers practical experience in implementing these algorithms using Python. This course is designed for individuals interested in understanding how quantum computing can revolutionize machine learning, blending theoretical knowledge with hands-on programming skills. It’s an opportunity for learners to delve into the cutting-edge domain where quantum physics meets advanced computational techniques.

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Quantum 101: Quantum Computing & Quantum Internet

The “Professional Certificate in Quantum 101: Quantum Computing & Quantum Internet” by DelftX is a comprehensive program designed to introduce learners to the fundamentals and advanced concepts of quantum computing and the quantum internet. It covers the basics of various qubit implementations, including Silicon spin, diamond NV center, superconducting, and topological qubits, which are crucial for building quantum computers. The course delves into the integration of classical control circuitry with quantum processors, exploring micro-architectures, compilers, and quantum programming languages. A significant focus is on quantum error-correction, essential for fault-tolerant quantum computing, and understanding quantum algorithms like Grover’s algorithm. Additionally, the program addresses the concept of the quantum internet, discussing its potential applications like secure communication and cloud-based quantum computing access. The course aims to equip learners with a thorough understanding of the scientific principles, hardware, software, and protocols necessary for quantum computing and the quantum internet, emphasizing the interdisciplinary nature of these fields. This program is not just about theoretical learning but also encourages participants to share their experiences and insights, fostering a collaborative learning environment.

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Online Quantum Computer Courses from EdX, 16 Quantum Courses to Upskill and Future Proof your Career

Mastering Linear Algebra

The Professional Certificate in Mastering Linear Algebra by DelftX is a comprehensive program designed for a wide range of learners, from prospective engineering students to working professionals, aiming to strengthen their understanding of linear algebra. This program covers essential topics such as solving linear systems of equations, working with linear subspaces, matrix algebra, and understanding linear transformations. It delves into more complex areas like calculating eigenvalues, eigenvectors, eigenspaces, diagonalizations, and singular value decompositions of matrices. The course structure is self-paced and modular, allowing learners to focus on specific areas for review and practice. The program is ideal for those preparing for a master’s degree in engineering, professionals seeking to enhance their mathematical skills, or anyone interested in university-level mathematics. It serves as a thorough review and skill test in linear algebra, assuming that learners have some prior knowledge or experience in the subject. This program is part of DelftX’s ‘Mastering Mathematics for Engineers’ series, which also includes courses in calculus and probability and statistics, aiming to provide a solid foundation in essential mathematical concepts for engineering and technical fields.

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Quantum Computer Systems Design

The “Professional Certificate in Quantum Computer Systems Design” by UChicagoX is an advanced course that teaches the integration of classical software techniques with quantum systems to enhance their efficiency and reliability, focusing on the comprehensive design of quantum systems and their software-hardware synergy. This course is ideal for those seeking skills in quantum software development, offering hands-on experience with IBM QisKit software tools for writing and executing quantum programs on cloud-based quantum hardware. The curriculum, supported by the textbook “Quantum Computer Systems” by Ding and Chong, covers a wide range of topics including systems research in quantum computing, fundamental quantum computing rules like the Bloch Sphere and Feynmann Path Sum, gate execution, EPR pairs, no-cloning, teleportation, algorithms for NISQ computers, microarchitecture, and aspects of program compilation and memory management, making it a comprehensive program for understanding the intricacies of quantum computer systems design.

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Quantum Technology: Computing

The MicroMasters Program in Quantum Technology: Computing by PurdueX, which is retiring soon, offers a comprehensive introduction to the fundamentals of quantum science, particularly focusing on quantum computing. This program is designed to address the rapid advancements in quantum computing platforms since the early 21st century, which have significantly impacted information processing and computer science. It aims to provide multidisciplinary and advanced training, crucial for advancing technology with applications in fields like artificial intelligence and data science.

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CaltechX, DelftX: Quantum Cryptography

The “Quantum Cryptography” course, offered collaboratively by CaltechX and DelftX, is an advanced-level program focusing on the application of quantum mechanics in cryptography. Spanning 10 weeks and requiring 6–8 hours of study per week, this instructor-paced course delves into how quantum effects like entanglement and uncertainty can be utilized for cryptographic tasks, achieving security levels unattainable through classical methods. It covers fundamental quantum cryptography concepts, security definitions, quantum key distribution protocols, and device-independent quantum cryptography. The syllabus includes topics like quantum tools, entanglement, information quantification, privacy amplification, and modern quantum cryptographic tasks. Prerequisites include undergraduate-level linear algebra, probability, and basic quantum information theory, although additional support is provided for those new to quantum information. This comprehensive course is designed for those with a solid background in these areas, aiming to equip learners with a deep understanding of quantum cryptography’s principles and applications.

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LinuxFoundationX: Introduction to Quantum Circuits

“LinuxFoundationX: Introduction to Quantum Circuits” is a free, self-paced online course offered through edX, designed to introduce the fundamentals of quantum computing. Spanning 7 weeks with an estimated 1–2 hours of study per week, this introductory course is accessible to a wide audience, including high school students and professionals, without requiring prior knowledge of quantum computing. The course focuses on the basics of quantum computing, the current technology landscape, and its future potential. Participants will learn to create quantum circuits for various algorithms and interact with quantum hardware using IBM Q Visual Composer. The syllabus includes topics like quantum superposition, qubits, quantum entanglement, quantum gates and circuits, and the Deutsch Algorithm, culminating in a hands-on lab experience and a final exam for those on the verified track. This course is ideal for anyone looking to understand the foundational concepts of quantum computing and gain practical experience in the field.

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DelftX: Fundamentals of Quantum Information

The DelftX course “Fundamentals of Quantum Information” is an advanced-level program focusing on the core concepts of quantum information and computing. Spanning four weeks with a commitment of 6–8 hours per week, this self-paced course is offered for free, with an optional upgrade available. It delves into the mathematical representation and manipulation of quantum information using quantum circuits, emphasizing the creation and use of quantum entanglement. Key learning outcomes include utilizing quantum circuits for single/multi-qubit quantum states, entanglement-based quantum information teleportation, compiling quantum circuits to universal gate sets, and understanding quantum supremacy and NISQ (noisy-intermediate scale quantum) devices. Practical applications are explored using Quantum Inspire, a cloud-based quantum computing platform. The course, designed by experts from QuTech at Delft University of Technology, is ideal for those with foundational knowledge in quantum computing and quantum internet, aiming to deepen their understanding of quantum information theory and its applications.

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DelftX: The Quantum Internet and Quantum Computers: How Will They Change the World?

DelftX’s course ‘The Quantum Internet and Quantum Computers: How Will They Change the World?’ is a free, self-paced online program lasting 6 weeks, with an estimated 2-3 hours of study per week. Designed for a diverse audience including policy-makers, business executives, students, and those with scientific or personal interest, this introductory course requires no technical background. It offers an exploration into quantum computing and the quantum internet, focusing on their potential impacts and applications in areas like quantum chemistry, machine learning, and secure communication. Participants will learn about fundamental quantum concepts such as qubits, superposition, and entanglement, and the challenges and advantages of quantum technologies. Authored by experts from the QuTech research center at Delft University of Technology, the course aims to provide a foundational understanding of quantum technologies and their future implications.

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PurdueX: Applied Quantum Computing III: Algorithm and Software

The PurdueX course “Applied Quantum Computing III: Algorithm and Software” is an advanced, instructor-paced course scheduled to start on March 25, 2024, and end on May 3, 2024. This five-week course, requiring 7–8 hours of study per week, is offered for free with an optional upgrade available. It is part III of a series in Quantum Computing, focusing on domain-specific quantum algorithms and their execution on current quantum hardware. The course covers quantum Fourier transform, search algorithms, and Shor’s algorithm for factorization, extending to recent developments in optimization, quantum simulation, quantum chemistry, machine learning, and data science. A significant feature is hands-on training in running quantum algorithms on present-day quantum hardware via cloud-based access. It’s designed for engineering and natural sciences students, as well as professionals interested in quantum technologies. Prerequisites include completion of the earlier courses in the series or a solid background in quantum computing fundamentals. The course is part of the MicroMasters® Program in Quantum Technology and will enhance skills in areas like machine learning, quantum mechanics, and quantum computing.

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PurdueX: Introduction to Quantum Science & Technology

The PurdueX course “Introduction to Quantum Science & Technology” is an intermediate-level, instructor-paced course that spans 17 weeks, requiring 7–10 hours of study per week. This archived course, available in English with video transcripts, is designed for students with knowledge in electromagnetic field theory, electronic circuits, algebra, calculus, and differential equations. It delves into the disruptive technologies of emerging quantum systems, focusing on the fundamental concepts and engineering challenges in quantum technologies. The curriculum covers a wide range of topics, including the basics of quantum mechanics, quantum communication, quantum computing, and the science and engineering behind these technologies. Students engage with practical tasks using Microsoft Azure Quantum in the cloud. The course is part of the MicroMasters® Program in Quantum Technology: Computing and equips learners with skills in quantum physics and Microsoft Azure. Key learning outcomes include understanding the differences between quantum and classical mechanics, applying mathematical tools to describe quantum phenomena, and analyzing the engineering challenges of quantum technologies. The comprehensive syllabus covers quantum engineering, fundamentals and essential concepts of quantum mechanics, quantum resources (EM waves, atoms, superconducting devices), quantum sensing, communication, and computation, providing a thorough grounding in the field.

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IsraelX: Topological Quantum Matter

The IsraelX course “Topological Quantum Matter” is an advanced, comprehensive exploration of topological states of matter, blending theoretical insights and experimental approaches. Spanning 16 weeks with 2-4 hours of study per week, this instructor-paced course delves into various aspects of quantum matter. It covers the quantum Hall effect, topological insulators, superconductors, and semimetals, with a special focus on twisted bi-layer graphene. The curriculum is divided into nine units, each tackling a different aspect, such as the Integer and Fractional Quantum Hall Effects, Topological Superconductivity, and the physics of graphene. It also includes advanced topics like Topological Classification, Gapless Topological Phases, Predicting Topological Materials, Topological Order, and practical Experimental Tools. The course is designed for students with a Master’s degree in Physics or higher, emphasizing a physical understanding over technical details and is currently archived with future dates to be announced.

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