Q2B26 Copenhagen | Eugene Oleynik, Head of EMEA, Classiq

Q2B26 Copenhagen | Eugene Oleynik, Head of EMEA, Classiq

by Eugene Oleynik · View the channel on PSI

Formal & Physical Sciences Computing & Cybersecurity UYComputer scienceUYXNatural computing
🎙 Eugene Oleynik 👥 6K 📅 October 12, 2026 ⏱ 16 min 👁 45 📄 expert opinion 🧭 2026-10-15
Available in: English (current) Français

Keywords

quantum AIapplication developmentcircuit synthesisClassiq platformdemo

Summary

Eugene Oleynik, Head of EMEA at Classiq, presents at Q2B26 Copenhagen a talk on how artificial intelligence can empower quantum application development. He begins by discussing current AI trends in classical software development, highlighting the shift from coding to architecture, from debugging to innovation, and AI filling knowledge gaps. He then outlines the complexity of quantum development, requiring deep expertise and involving long debug cycles. Classiq’s platform addresses this by providing an abstraction layer with a Python extension called Q-mod, which enables high-level design and automatic synthesis for various quantum hardware. The central part of the talk is a demo where the Classiq AI agent, integrated into Claude’s code interface, ingests a complex IonQ paper on quantum topological data analysis (TDA) and automatically generates a clean quantum implementation, synthesizes the circuit, executes it, and benchmarks against classical methods. The resulting code is about 20 lines of simple quantum code plus 200 lines of classical wrapper, with almost no bugs—one was auto-fixed. The AI agent leverages Classiq’s substantial library of over 200 algorithms and industry applications. The presentation concludes with an invitation to test the platform and mention of an ongoing quantum challenge at their booth.

195 words

Critical Evaluation

Value of the Information & Strength of the Argument

The value of the information lies in demonstrating a practical integration of AI to bridge the gap between complex quantum research papers and executable quantum code. The speaker argues convincingly that AI can handle low-level circuit design, letting developers focus on algorithm architecture and business value. The argumentation is structured logically: first establishing the trend in classical AI, then identifying pain points in quantum development, and finally presenting their solution with a concrete example. The demo is compelling, showing step-by-step how the AI agent interprets a paper, retrieves relevant library functions, builds a circuit, and performs benchmarking. However, the presentation is inherently promotional, lacking independent benchmarks or comparisons with other approaches, which weakens the strength of the claims.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is moderate. The speaker references a specific paper (IonQ on quantum TDA) and mentions a JP Morgan paper on portfolio optimization, but provides no citations or links. The only external source in the description is the Q2B conference page. The use of a live demo is illustrative but not a formal study. The title ‘Q2B26 Copenhagen | Eugene Oleynik, Head of EMEA, Classiq’ is generic; the subtitle in the description (‘Quantum-Enabled AI For Expert Quantum Developers’) better reflects the content. Overall, the talk is a product demonstration rather than a peer-reviewed presentation, and the lack of verifiable sources limits its scientific reliability.

238 words

Title / Content Match

Generic title but content matches: presents an AI-driven platform for quantum application development.

Quality & Reliability

6/10

The presentation is informative and technically coherent, but is primarily promotional for Classiq's platform, lacking independent validation of claims.

External References

Radar Profile

Reliability 5/10