Welcome to the tutorial of Qrisp! This page will help you get started by providing step-by-step instructions and examples. Whether you’re a beginner or an experienced quantum programmer, these tutorials provide a helping hand exploring the fundamentals of the framework and make you familiar with its syntax and features.
To gradually qrispify your programming game you will start with the basics and gradually build your qrispertoire to more advanced features like automatic recomputation. We’ve structured the tutorial in a way that is easy to follow:
in Getting familiar with Qrisp you will, well, get familiar with Qrisp. After being stimulated to replace thinking with quantum cirtuits with thinking with QuantumVariables, you’ll learn to solve a quadratic equation using Grover’s algorithm and get acquainted with Quantum Phase Estimation.
QAOA implementation and QAOAProblem will break down the theory behind this promising algorithm before implementing it for the MaxCut problem, the graph coloring problem, as well as providing a new constrained mixer type letting you reduce the search space! Since the 0.4 update we also include a tutorial on how to solve QUBO problems with QAOA. Disclaimer: the tutorial might or might not involve crayons.
Solving the Traveling Salesman Problem (TSP) is again pretty self explanatory - you’ll set up a superposition of all routes, evaluate route distance, and create a Grover’s oracle to eventually evaluate it.
Implementing Shor’s algorithm will guide you through our state-of-the-art implementation of Shor’s algorithm, allowing you to factor numbers and fiddle around encrypting and decrypting hidden messages.
Fault-Tolerant compilation of Shor’s algorithm delves into the realm of compiling for fault-tolerant quantum devices, exploring the specialized techniques and considerations that set this stage apart from the compilation challenges encountered in NISQ environments. At the end you will also optimize the implementation of Shor’s from the tutorial above.
Along the way, we’ll introduce you to important concepts and techniques that you’ll need to know in order to write highly efficient algorithms in Qrisp. We encourage you to follow along with the examples and try out the code for yourself. Don’t worry if you make mistakes or don’t understand something right away - programming is a process of learning and experimentation, and it takes time to become proficient.
By the end of this tutorial, you’ll have a solid foundation of our high-level framork and be ready to tackle more complex projects. So let’s get started!