Sunday, September 7, 2025

IEEE Quantum Computing and Engineering 2025

We had a fantastic time at IEEE Quantum Computing and Engineering (a.k.a. Quantum Week) https://lnkd.in/esWPtjHH. This is a highlight of the year that never disappoints. The conference initiated many exciting collaborations, and I’m especially proud that our lab presented or participated in five papers this time.

Special thanks to all of our amazing collaborators who made these papers possible Yuri Alexeev Marwa Farag Kyle Sherbert Karunya Shirali Sergii Strelchuk Mitchell Chiew Filip Maciejewski Khoa Luu Samee Khan. 

1. Ilya Tyagin, Marwa Farag, Kyle Sherbert, Karunya Shirali, Yuri Alexeev, Ilya Safro  "QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits"

2. Mitchell Chiew, Cameron Ibrahim, Ilya Safro, Sergii Strelchuk "Optimal fermion-qubit mappings via quadratic assignment"

3. Bao Bach, Filip Maciejewski, Ilya Safro "Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth"

4. Kien Nguyen, Bao Bach, Ilya Safro "Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach"

5. Hoang-Quan Nguyen, Xuan-Bac Nguyen, Sankalp Pandey, Samee U. Khan, Ilya Safro, Khoa Luu

 "QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks"

What made it even more special was reconnecting with our former students Ruslan Shaydulin and Joey Xiaoyuan Liu, now leading experts in quantum computing. Seeing their impact on the field is both exciting and inspiring.

Looking forward to next year’s Quantum Week in Toronto!






#QuantumComputing #QAOA #QuantumOptimization #IEEEQCE #QuantumEngineering #HybridAlgorithms #Research #MachineLearning #QML 


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Quantum Computing     Quantum computers are expected to accelerate scientific discovery spanning many different areas such as medicine, AI, ...