My current favourite introductory (undie-level) #textbooks on #QuantumComputing #QC are these:
• "Introduction to Quantum Computing: From a Layperson to a Programmer in 30 Steps"
— H Wong (EE), 2024, https://shorturl.at/1wdEz
• "Introduction to Classical and Quantum Computing" [FREE]
— T Wong (physicist), 2022, https://shorturl.at/rNjRw
Both books are aimed at college seniors majoring in CS or maths. While these texts may be a bit clunky for the physics or EE upperclassmen's liking, they could serve as a gentler introduction to #QuantumMechanics #QM for the freshmen in these disciplines.
I prefer H Wong's book, but T Wong's book is also superb (and it is free). I recommend the students read both. This sure is a rare case of two Wongs making one right.
Also, EE upperclassmen should read H Wong's other books:
• "Quantum Computing Architecture and Hardware for Engineers: Step by Step, Volume 1"
— H Wong, 2025, https://shorturl.at/4Fe1e
• "Quantum Computing Architecture and Hardware for Engineers: Step by Step, Volume 2" [FREE]
— H Wong, 2025, https://shorturl.at/WafIP
NB—QC maybe but a #hype, for the time being. It may yet grow into something practicable, in the near future. But then, it may not. Be that as it may, the concepts that sprang from Feynman's 1982 seminal paper on the physics of #ReversibleComputing are fascinating all their own, so the undergrads in physics, EE, CS, and maths should at least be familiar with them. After all, no substantive knowledge is ever superfluous. And more importantly, QC can be a springboard, an enticement even, for these kids to dive into the fascinating ocean of QM, or at least dip into an intriguing classical computing pond of #ProbabilisticComputing.
