Quantum Strategy for Business

"Introduction to Quantitative and Computational Finance" provides a basis to step into the world of Quantum Computing for Finance. This introductory course will develop fundamental concepts required for an understanding of quantum algorithms and more advanced topics in computational finance. This course will teach you the basics of derivative products, the Black-Scholes-Merton model for pricing vanilla derivatives, and how to compute the price of exotic options with a computer. This course is designed for those who wish to broaden their skills and develop professionally in quantitative finance and/or quantum computing algorithms for the financial sector. This course is the first part of the specialised educational series "Quantum Computing for Finance".

Quantum Algorithms for Computational Finance" is an advanced course in the emerging field of quantum computing for finance. This technical course will develop an understanding in quantum algorithms for its implementation on quantum computers. Through this course, you will learn the basics of quantum arithmetic operations, quantum amplitude estimation and quantum(-inspired) optimization algorithms strengthened with exercises and its applications in finance. This course is a part of the specialised educational series, “Quantum Computing for Finance”.

Quantum technologies are not only for physicists. “Quantum for Everyone”, a new online course for non-specialists designed by QURECA's experts, will help you understand quantum technologies and spot opportunities to apply quantum technologies to solve challenges in your own organization. If you are a non-technical business professional, “Quantum for Everyone” will help you understand how to build a sustainable quantum strategy. If you are a quantum software developer or a quantum engineer, this is the course to ask your manager, VP or CEO to take if you want them to understand what you can - and cannot ! – do with quantum technologies.

Quantum Machine Learning (QML) is designed to explore the intersection of quantum computing and machine learning, highlighting the unique advantages and potential applications of merging these two cutting edge fields. The course outlines the motivation behind QML, its potential advantages and applications aiming to mold learners into skilled Quantum Engineers. Through a structured curriculum students will delve into optimization algorithms along with advanced modelling and applications in quantum classifiers, regression and unsupervised learning methods like clustering. This course is designed to equip learners with the knowledge and skills to apply quantum computing concepts in machine learning to solve real-world problems.

This training programme provides an overview about the emerging field of quantum technologies for business enterprises. The modules content includes an introduction to quantum technologies (technology foundation), a high level strategy plan on how to get your business quantum ready, an overview of the quantum ecosystem (funding, start-ups, resources), examples of quantum technologies use cases, and a module on quantum safe security.

“Quantum Training for Enterprise” is an introductory course from Zapata Computing with an aim to empower enterprises to be quantum-ready. This course will educate you and your organization about quantum computing from a scientific, engineering, and business perspective, and improve your ability to discuss quantum computing concepts within your organization, and with industry peers, suppliers, and customers. All learners will benefit from the expertise of the Zapata team, who share a broad perspective for applying quantum computing on practical industrial use cases and highlight specific advances developed by the company’s science team.