Introduction to Quantum Science and Technology
Master fundamental concepts and engineering challenges of quantum technologies in this comprehensive course.
Master fundamental concepts and engineering challenges of quantum technologies in this comprehensive course.
This intermediate-level course provides a thorough introduction to quantum technologies and their applications in computing and communication. Students explore quantum physics fundamentals, various quantum systems, and practical engineering challenges. The curriculum covers quantum mechanics principles, implementation of quantum communication and computation, and hands-on experience with Microsoft Azure Quantum cloud platform. The course bridges the gap between quantum physics theory and practical engineering applications.
Instructors:
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What you'll learn
Understand fundamental differences between quantum and classical mechanics
Master mathematical descriptions of quantum phenomena
Analyze quantum systems using multidisciplinary approaches
Interpret quantum signatures in experimental data
Evaluate engineering challenges in quantum technologies
Skills you'll gain
This course includes:
Live video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 9 modules in this course
This comprehensive course explores quantum technologies and their foundational principles. Students learn about quantum mechanics fundamentals, quantum computing implementations, and quantum communication systems. The curriculum covers essential topics from basic quantum phenomena to advanced concepts in quantum cryptography and computation. Through practical exercises using Microsoft Azure Quantum, students gain hands-on experience with real quantum systems.
Overview of Q Technologies
Module 1
Fundamentals of Quantum Mechanics
Module 2
Essential Concepts in Quantum Mechanics
Module 3
Quantum Resources: EM Waves
Module 4
Quantum Resources: Atoms
Module 5
Quantum Resources: Superconducting Devices
Module 6
Quantum Sensing
Module 7
Quantum Communication
Module 8
Quantum Computation
Module 9
Fee Structure
Instructors
7 Courses
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.
Pioneering Quantum Physicist and Photonics Expert
Mahdi Hosseini serves as an Assistant Professor of Electrical and Computer Engineering at Purdue University, where he advances the frontiers of quantum physics and engineering. His academic journey includes a Ph.D. from the Australian National University specializing in quantum light storage, followed by postdoctoral research at Massachusetts Institute of Technology studying quantum light-atom interactions in cavity quantum electrodynamics. His research portfolio focuses on developing quantum photonic devices for quantum communication and quantum sensors for precision sensing, contributing significantly to the field through more than 60 research articles, patents, and conference papers. Hosseini's expertise has been widely recognized through more than 15 invited talks at international conferences and department colloquiums, while his commitment to education is demonstrated through his completion of both the MIT Kaufman Teaching Program and ANU Advanced Graduate Teaching Program.
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