Introduction to Scalable High-Level Quantum Programming with Classiq

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This one-hour webinar will introduce researchers and faculty to a high-level approach to quantum programming, focusing on how quantum algorithms can be expressed beyond manual gate-level circuit construction.

The session will cover how high-level quantum programs can capture algorithmic intent, functional requirements, and constraints, and how these models are synthesized into optimized quantum circuits for different hardware backends.

A guided walkthrough will demonstrate the full workflow from high-level model to synthesized circuit, visualization, and execution.

Topics include:
● Gate-level vs. high-level quantum programming including AI agents accelerating code development
● Functional and reusable quantum program design
● Automated circuit synthesis and optimization
● Hardware-aware implementation trade-offs
● Execution across quantum backends

No prior experience with Classiq is required. Depending on the interest of the audience after this webinar, a series of webseries may be initiated with special limited access to the Classiq Platform.

Speaker: Tomer Itelson is the Academic Partnerships Lead at Classiq, where he develops collaborations with universities and research institutions to advance quantum computing education and research. In this role, he works closely with faculty, students, and research groups to enable the development of practical quantum applications and to integrate modern quantum software tools into academic programs. His work focuses on bridging the gap between theoretical quantum algorithms and real-world applications, with a particular interest in identifying practical domains where quantum computing can deliver meaningful impact. At Classiq, he supports academic initiatives that explore hybrid quantum- classical workflows, algorithm design, and scalable quantum software development. Tomer holds a B.Sc. in Physics and Computer Science from Tel Aviv University.