Possible Study Paths in #QuantumComputing for Undergraduates
—— #EE, #Physics, and #Maths ——
• PROB—"Grinstead and Snell’s Introduction to Probability", Doyle
• LALG—"Introduction to Linear Algebra", Strang
• QM—"The Feynman Lectures on Physics, Volume 3", Feynman
• QC—"Quantum Computation and Quantum Information" (Mike & Ike), Nielsen
—— #CS and #DS ——
• PROB—"Probability: For the Enthusiastic Beginner", Morin
• LALG—"Basic Linear Algebra", Blyth
• QM—"Introduction to Quantum Mechanics", Griffiths
• QC—"Introduction to Quantum Computing: From a Layperson to a Programmer in 30 Steps", Wong
—— Optional reading for all ——
• VISUAL—"3D Computer Graphics", Watt
—— Arguments against QC ——
• https://youtu.be/pDj1QhPOVBo?si=P4h0GaPceLCxSuye, Yoganathan
• https://youtu.be/MukMOZ0J-Ww?si=WOIzDT-b7sdKqvkP, Hossenfelder
—— My Personal View ——
As of 2026, I see QC as just another Wall Street hype. But this technology has come a long way since its 1982 inception, at least on the hardware side. On the software side, though, progress is almost nonexistent over the past thirty years. And forget about generating QC code using ChatGPT, at least for now.🤣
Still, from the perspective of an intellectual pursuit, #QC concepts have much to teach the #STEM undergrads. Moreover, #QM is one of those studies that squashes a young, blobby mind then remoulds it into a mature, structured mind; it is an eminently worthwhile pursuit. But it is a subject universally reviled by STEM undies, except those in EE and Physics. If QC does nothing else but to induce some of those kids to pursue QM, that is good enough for me.