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Applied Quantum Computing II: Hardware

Master the fundamentals of quantum computing hardware platforms, from superconducting systems to trapped ions and spin-based implementations

Master the fundamentals of quantum computing hardware platforms, from superconducting systems to trapped ions and spin-based implementations

This advanced course explores how quantum phenomena are realized in various material platforms for quantum computing. Students learn about different qubit implementations, including superconductor-based, atom/ion trap-based, and spin-based systems. The curriculum covers qubit manipulation, system interconnection, and error sources in each platform, providing essential understanding of modern quantum hardware.

Instructors:

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Applied Quantum Computing II: Hardware

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 superconducting quantum platforms

  • Master atom and trapped-ion quantum systems

  • Analyze spin-based quantum implementations

  • Evaluate qubit manipulation techniques

  • Assess quantum hardware error sources

  • Compare different quantum computing platforms

Skills you'll gain

Quantum Hardware
Superconducting Qubits
Ion Traps
Spin Qubits
Error Correction
Quantum Information
Systems Integration

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 comprehensive coverage of quantum computing hardware platforms. Students explore how fundamental quantum phenomena are implemented in various material systems, focusing on leading candidates like superconductor-based qubits, atom/ion traps, and spin-based platforms. The curriculum examines qubit definition and manipulation, system interconnection methods, and platform-specific error sources. Emphasis is placed on understanding the practical challenges and implementations in current quantum computing systems.

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 II: Hardware

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.