Embedded Files
Full Program
Full Program
1.Session : Thursday 17th, September 10:00 AM – 11:30 AM EDT
2.Session : Thursday 17th, September 1:00 PM – 2:30 PM EDT
3.Session : Thursday 17th, September 3:00 PM – 4:30 PM EDT
Invited Speakers
Invited Speakers
Konstantinos Meichanetzidis
(Head of Scientific Product Development, Quantinuum)
Konstantinos Meichanetzidis is Head of Product at Quantinuum, working on quantum applications and AI. He is an interdisciplinary scientist with a background in theoretical physics and computer science. He designs end-to-end implementations of quantum algorithms informed by hardware roadmaps, guided by practical quantum advantage requirements. Furthermore, he explores the bidirectional synthesis of AI with quantum computation: how quantum computers can enhance AI systems, as well as how the latest AI systems can accelerate research and development in the full quantum stack.
Talk: Automated near-term quantum algorithm discovery
Juan Cruz-Benito
(Quantum+AI Manager, IBM Research)
Juan Cruz-Benito is a Quantum+AI manager at IBM Research, where he researches and develops AI-based systems to tackle complex problems in quantum computing. His work sits at the intersection of quantum computing, machine learning, and open source. He is an IBM Master Inventor and has contributed to tools used by millions of developers worldwide. He holds a PhD in Computer Engineering from the University of Salamanca and has authored more than 80 publications. In 2019 he received the SCIE-BBVA Award for best young researcher in Computer Science in Spain.
Talk: Quantum Error Correction Meets AI for Science: Lessons from LLM-Guided Code Discovery
Full Program
Full Program
Thursday, September 17, 2026
All times are in Eastern Daylight Time (EDT).
Session 1 — Opening and Invited Talk I
Session 1 — Opening and Invited Talk I
10:00 AM–11:30 AM EDT
10:00–10:15 AM
Welcome and Introduction
10:15–11:00 AM
Invited Talk I — Konstantinos Meichanetzidis, “Automated near-term quantum algorithm discovery”
11:00–11:15 AM
Paper 1701 — Fast Stabilizer State Preparation via AI-Optimized Graph Decimation Jasmine Brewer, Michael Doherty, Matteo Puviani, Gabriel Matos, David Amaro, Ben Criger, and David T. Stephen
11:15–11:30 AM
Paper 1656 — Learning to Gadgetize: Reinforcement Learning for T-State Cost Reduction in Fault-Tolerant Quantum Circuits Yousra Farhani, Laura María Navarro González, and Gemma C. Solomon
Session 2 — Contributed Talks
Session 2 — Contributed Talks
1:00–2:30 PM EDT
1:00–1:15 PM
Paper 1710 — Reinforcement Learning for Adaptive Composition of Quantum Circuit Optimisation Passes Daniel Mills, Ifan Williams, Jacob Swain, Gabriel Matos, Enrico Rinaldi, and Alex Koziell-Pipe
1:15–1:30 PM
Paper 1498 — Graph Reinforcement Learning for Calibration-Aware Quantum Circuit Routing Yash Tomar and Dheeraj Peddireddy
1:30–1:45 PM
Paper 1614 — Entanglement Geometry Separates Circuit Cutting and Classical Simulability Maria Gragera Garces, Sabina Drăgoi, and Lirandë Pira
1:45–2:00 PM
Paper 1751 — Graph-Theoretic Quantum Circuit Optimization with the ZX-Calculus and Gumbel AlphaZero Alexander Koziell-Pipe, Richie Yeung, and Aleks Kissinger
2:00–2:15 PM
Paper 1519 — Reusable Equivariant Neural Compilers for Matrix-Group Quantum Circuit Synthesis Richie Yeung, Aleks Kissinger, and Rob Cornish
2:15–2:30 PM
Paper 1543 — QCoWPoST: A Quantum Compiler Based on Weighted Probability of Successful Trials Harshdeep Singh, Marvin Richter, Mats Granath, and Anton Frisk Kockum
Session 3 — Invited Talk II and Poster Session
Session 3 — Invited Talk II and Poster Session
3:00–4:30 PM EDT
3:00–3:15 PM
Session Introduction
3:15–4:00 PM
Invited Talk II — Juan Cruz-Benito, Talk TBD
4:00–4:30 PM
Poster Session
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