Sep 16th, 2026 NYC Quantum Computing In Person and Zoom Meetup

Abstract:
AI for Quantum

This talk explores the intersection of artificial intelligence and quantum computing, highlighting how AI techniques advance quantum system capabilities. We will cover the state-of-the-art, from quantum circuit optimization to generating efficient Quantum Error Correction (QEC) codes. Additionally, we will discuss how these techniques and new ones impact the path toward achieving Quantum Advantage.

Key Topics Covered:

• Quantum Circuit Optimization: Utilizing machine learning to generate efficient quantum circuits.
• Error Correction Code Generation: Applying AI to automate and improve the creation of robust quantum error-correcting codes.
• Quantum Advantage Experiments: An overview of recent practical experiments demonstrating capabilities beyond classical computing limits.

Bio:
David leads part of the AI for Quantum effort at IBM, where he works in applying Artificial Intelligence to problems that arise in Quantum Computing. Some of his recent work includes quantum circuit optimization with Reinforcement Learning, AI-powered Qiskit transpiler passes, AI-based quantum circuit simulation for quantum advantage and quantum algorithm discovery with AI Agents. Before moving to quantum computing, he led an applied AI team at IBM, applying AI to different industry problems.

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