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Applied Quantum Computing I: Fundamentals

Master quantum computing fundamentals from quantum mechanics principles to modern information processing models for computation and machine learning

Master quantum computing fundamentals from quantum mechanics principles to modern information processing models for computation and machine learning

This comprehensive course introduces the essential foundations of quantum computing, covering fundamental postulates of quantum mechanics and their application to quantum information processing. Students learn about gate-based quantum computing, error correction, adiabatic quantum computing, quantum simulation, and quantum machine learning. The course provides a physical and intuitive understanding while requiring minimal engineering prerequisites.

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Applied Quantum Computing I: Fundamentals

This course includes

5 Weeks

Of Live Classes video lessons

Advanced Level

Completion Certificate

awarded on course completion

71,258

Audit For Free

What you'll learn

  • Understand fundamental postulates of quantum mechanics

  • Master gate-based quantum computing principles

  • Learn quantum error correction techniques

  • Explore adiabatic quantum computing methods

  • Grasp quantum simulation concepts

  • Apply quantum principles to machine learning

Skills you'll gain

Quantum Computing
Quantum Mechanics
Gate-based Computing
Quantum Error Correction
Adiabatic Computing
Quantum Simulation
Quantum Machine Learning
Information Processing

This course includes:

Live video

Graded assignments,Exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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Module Description

The course provides a foundational understanding of quantum computing principles and their practical applications. Students learn about the fundamental postulates of quantum mechanics and their mapping to quantum information processing models. The curriculum covers essential topics including gate-based quantum computing, error correction mechanisms, adiabatic quantum computing, quantum simulation techniques, and applications in machine learning. Special emphasis is placed on developing both theoretical knowledge and practical understanding.

Fee Structure

Instructor

Pioneering Spintronics and Quantum Physics Researcher

Pramey Upadhyaya is a distinguished Associate Professor of Electrical and Computer Engineering at Purdue University, whose academic journey includes a B.Tech from IIT Kharagpur (2009), followed by MS (2011) and Ph.D. (2015) degrees from UCLA, where he worked as a resident theorist in Prof. Kang Wang's Device Research Laboratory. Following his doctoral studies, he completed a postdoctoral fellowship at UCLA's Physics and Astronomy Department under Prof. Yaroslav Tserkovnyak. His groundbreaking research in quantum physics and spintronics has led to pioneering demonstrations of current-induced room-temperature skyrmion manipulations, spin torque switching using topological surface states, and NV-center probing of spin-caloritronics. His work has resulted in over 30 publications in prestigious journals including Science, Physical Review Letters, and Nature Nanotechnology, achieving an H-index of 24. His exceptional contributions to the field have been recognized with several prestigious awards, including an NSF Career Award (2020), Qualcomm Innovation Fellowship (2013), and Intel Summer Fellowship (2011), while his current research at Purdue focuses on advancing quantum phenomena and material science for next-generation computing applications.

Applied Quantum Computing I: Fundamentals

This course includes

5 Weeks

Of Live Classes video lessons

Advanced Level

Completion Certificate

awarded on course completion

71,258

Audit For Free

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.