Quantum Computing and Information: A Scaffolding Approach (2e)

Unlock the Potential of Quantum Computing

This expertly crafted guide demystifies the complexities of quantum computing through a progressive teaching method, making it accessible to students and newcomers alike.

Features

• Explores quantum systems, gates and circuits, entanglement, algorithms, and more.
• Unique 'scaffolding approach' for easy understanding.
• Ideal for educators, students, and self-learners.

Authors

• Dr. Peter Y. Lee (Ph.D., Princeton University) – Expert in quantum nanostructures, extensive teaching experience.
• Dr. Huiwen Ji (Ph.D., Princeton University) – Solid background in quantum chemistry, award-winning researcher.
• Dr. Ran Cheng (Ph.D., University of Texas at Austin) – Specializes in condensed matter theory, award-winning physicist.

Dr. Peter Y. Lee: Holds a Ph.D. in Electrical Engineering from Princeton University. His research at Princeton focused on quantum nanostructures, the fractional quantum Hall effect, and Wigner crystals. Following his academic tenure, he joined Bell Labs, making significant contributions to the fields of photonics and optical communications and securing over 20 patents. Dr. Lee's multifaceted expertise extends to educational settings; he has a rich history of teaching, academic program oversight, and computer programming.
Dr. Huiwen Ji: Holds a Ph.D. in Chemistry from Princeton, with a focus on solid-state chemistry tied to quantum properties. Her research spans quantum physics to materials chemistry. With roles at the University of California, Berkeley, and Lawrence Berkeley National Lab, she's received awards like the NSF CAREER Award. Currently a faculty member at the University of Utah.
Dr. Ran Cheng: Earned his Ph.D. in Physics from the University of Texas at Austin, with a specialization in condensed matter theory, particularly in spintronics and magnetism. Following a postdoctoral position at Carnegie Mellon University, he joined the faculty at the University of California, Riverside, where he was honored with the NSF CAREER and DoD MURI awards.