دانلود کتاب برنامه‌نویسی کوانتومی در عمق، حل مسائل با Q و Qiskit

I joined Microsoft Quantum and, by extension, the world of quantum computing in early 2017, just as the team started developing the quantum programming language that later became Q#. I spent a big part of the next eight years learning quantum computing myself and helping others do the same, both as part of my job at Microsoft and in the course I teach at Northeastern University. And, while doing this, I noticed several gaps in the way quantum computing was taught. First, a lot of material on quantum computing focused on its mathematical aspects only. I am an applied mathematician by training, so I’m comfortable with math. But I’m a software engineer by trade, and I’m a lot more comfortable with algorithms when I can implement them and experiment with running them! My first project in quantum computing education, the Quantum Katas, focused on introducing the basics—quantum states and gates, measurements, and simple algorithms—through a series of programming problems that the learner would solve to internalize the theory. The second gap shows up later in the learning journey. There are plenty of “quantum computing 101” resources that focus on introductory concepts. But, once you’ve mastered the basics, what’s next? What does “quantum computing 201” look like? If you’ve only ever run simple circuits, how do you start implementing real quantum algorithms? How do you test the quantum code you write? What do you need to know about quantum programming for future fault-tolerant quantum computers? And, ultimately, how do you figure out whether your quantum solution to the problem you’re looking at is going to do better than a classical algorithm? This book aims to answer these questions.