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I love quantum computing so much, I don’t know where to start. I’m tongue-tied. I’m delirious. I can’t contain my joy. I’m doing backflips off dumpsters. I’m riding shopping carts down stairs. I’m swinging by vines over rivers of lava. As in a song lyric I liked in high school, “I’m so bloated up happy I could throw things around me.” (“Heavenly Pop Hit” by The Chills.) In high school, I had a book called The Secret Guide to Computers. It taught BASIC programming. The book opened a misty passageway to a world of almost mystical union with silicon circuitry. It was an initiation to a fellowship of advanced nerds. Because if you’re going to be a nerd, you might as well be an advanced one. Well, I’ve got news for you, advanced nerds. It’s time to take a quantum leap. Quantum information science, the broader discipline that contains quantum computing, stands at a grand conjunction of computer science, digital electronics, engineering, quantum mechanics, linear algebra, number theory, and even philosophy. It’s a bustling crossroads of all my favorite nerdy pursuits. It’s almost too much awesome. Yes, even philosophy is relevant to quantum information science, as we will see in the chapter about the 2022 Nobel Prize in Physics. As we continue to expand the frontiers of knowledge, the rigorous mysteries of quantum physics remain stubbornly unsolved. I wonder if this is a salutary check on human hubris, a reminder of our place in a world we never made. Physics achieves the goal of medieval alchemy and astrology, to illuminate the invisible forces that govern the destinies of all things. But something always scurries away from the light, and our thirst for complete understanding is forever unquenched. Philosophical questions aside, quantum technology is advancing all the time, and the potential uses for quantum computers are exciting and fun to explore. Quantum computing is a new and growing field that students hunger to learn about, and instructors who are new to the field are desperate for books they can understand. (I speak from experience as an instructor who is new to the field.) I had to carefully study a dozen quantum computing books before I understood any of them. New instructors, as well as autodidactic hobbyists, need a large pool of resources. I hope I’m contributing to this pool. I’m keeping the math as simple as I possibly can, and I’m avoiding matrices entirely, until the completely optional final two chapters. You do need to know some precalculus (algebra and occasional trigonometry). On the other hand, you don’t need to know any quantum physics at all. I hope that our leap to the farthest Shor, over the howling abyss of quantum phase estimation, is not too daunting. Please don’t feel bad if you have to skim some sections, or chew over them slowly like cud. It’s also okay to skip some passages out of sheer boredom. Not every sentence can be a thrill, and the parts you skip are always there if you ever want to go back to them. So without any further ado, onward to the awesome.