Simplify Quantum Computations, Accelerate Innovation with WOLFGATES development environment.

WOLFGATES
Algorithm library

Utilize a suit of pre-built quantum-classical hybrid algorithms with higher-depth parameters optimized by the state-of-the-art classical optimizers.

Course Outline:

Week 1: Mathematics of Quantum Computing, setting up your IBM Quantum account, and installing Qiskit

Week 2: Understanding qubits, quantum gates, and creating simple quantum circuits using Qiskit in Python

Week 3: Introduction to the Quantum Approximate Optimization Algorithm (QAOA), understanding its principles and structure

Week 4: QAOA implementation on IBM's quantum system, focusing on solving a combinatorial optimization problem

Including 4 coding assignments, followed by grading and feedback by instructors

Course Delivery: On Canvas, Asynchronous

Let’s get started using Wolfgates! The first thing to do is choose how you’re going to run and install the packages.

Quantum Circuit Composer allows you to build, visualize, and implement quantum circuits on simulators or quantum hardware.

Wolfgates provides a suit of configurable Quantum Algorithms. Users can easily run various hybrid algorithms instances such as VQE and QAOA.

For various problems in Finance, Life Science and Optimization, Wolfgates provides ready-to-run components inside its framework.

We provide an overview of working with Wolfgates and its essential building blocks necessary to program quantum computers.

A list of key new features including multiple quantum hardware providers, including superconducting quantum computers.