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Quantum Machine Learning School 2026

Calendare Icon20.07.2026/3 ЄКТС

Для кого ця сертифікатна програма?

The summer school is open to bachelor’s students in their 3rd or 4th year of study, master’s and postgraduate students specializing in physics, engineering, mathematics, and computer science domains, as well as professionals interested in quantum computing.
While no specific knowledge of quantum computing is required a preliminary exposure to Qiskit and Pennylane and familiarity with core concepts will be a strong plus, participants should possess a foundational understanding of linear algebra, probability theory, statistics, and machine learning, and be proficient in Python.

Course overview section photo

Огляд сертифікатної програми

The Faculty of Applied Sciences of UCU, with the support of Haiqu, is excited to announce the opening of enrollment for the Summer School in Quantum Machine Learning. The program will run from July 20 to July 25 and will focus on applications of Machine Learning in Quantum Computing and foundations of Quantum Machine Learning.
The primary goal is to equip students with a solid understanding of the fundamental principles of quantum computing and to provide them with a practical foundation for further development in this exciting field.

Course overview section photo

Промо-відео сертифікатної програми

Наш лектор

Микола Максименко

Микола Максименко

PhD in Theoretical Physics, MSc in Technology Management

ІТ

Co-founder and CTO, Haiqu Mykola is the co-founder and CTO of the quantum computing startup Haiqu, which is developing software to enhance the performance of near-term quantum computers. He has over 7 years of leadership experience in R&D at global consultancy SoftServe, where he built a Global R&D department.