Dancing with Python : Learn to Code with Python and Quantum Computing

Shravan Kumar Gaddam

Manojkumar S. Langote, Gorakshanath T.Gund, Sandeep Suresh Sonawane

M. Hoff

A common problem when learning Quantum Mechanics is the complexity in the mathematical and physical concepts, which leads to difficulty in solving and understanding problems. Using programming languages like Python have become more and more prevalent in solving challenging physical systems. An open-source computer algebra system, SymPy, has been developed using Python to help solve these difficult systems. I have added code to the SymPy library for two different systems, a One-Dimensional Quantum Harmonic Oscillator and a Quantum Mapping Gate used in Quantum Computing.

Martin Nilsson

Do you think you need to know quantum physics to understand how a quantum computer works? Nope, no worries there. You don't need a deep dive into physics or mathematics, just a bit of familiarity with vectors and matrix multiplication. That's really it. A good handle on Python programming and a few numpy functions will do the trick, specifically reshape(), kron(), matmul(), swapaxes(), linalg.norm(), and random.choice(). In fact, an appendix shows that twelve lines of Python code suffice to define a complete simulator. The whole point of this article is to give you an informal, brief, hopefully digestible and educational description of how you can easily implement your own quantum computer simulator. It's not about `Yet Another Quantum Computer Simulator' (YAQCS?), which are a dime a dozen, but about how to build your own. And, honestly, there's probably no better way to learn how a quantum computer works!

David Matthews

Shinil Cho

This book provides an easy-to-read but practical introduction to quantum gate simulation to serious learners of the subject. Fundamental physical concepts and selected programming examples of quantum simulations are described for readers who want to use the simulation with a physical understanding background without the use of rigorous mathematics. This book is intended to offer a self-study book for senior and graduate students of physics, computer science, and mathematics who want to learn and write quantum codes. It may also serve as a textbook or a reference in academia and industry. Readers are expected to have introductory knowledge of linear algebra although it is briefly reviewed in this book. Some experience of computer programming is helpful, but no prior knowledge of Python is required for writing the quantum codes shown in this book. Part of IOP Series in Quantum Technology. Key features • Easy-to-read content for self-paced readers. • Many examples with background physics. • Detailed description of entanglement and teleportation. • Guide to industrial resources. • DIY quantum gate simulations.