9th International Conference on
Quantum Techniques
in Machine Learning
16-21 November, Singapore
Theme for 2025:
AI for Quantum, Quantum for AI
Quantum Techniques in Machine Learning (QTML) is a leading international conference at the forefront of quantum science and machine learning. Held annually, it brings together researchers and industry experts to explore how quantum computing can transform learning, optimization, and data-driven discovery. Through a series of scientific talks and discussions, QTML fosters collaboration and advances research on the interplay between quantum mechanics and machine learning, from foundational theory to real-world applications.
QTML was first hosted in Verona, Italy (2017), then in Durban, South Africa (2018), Daejeon, South Korea (2019), virtual (2020, hosted by Zapata Computing), virtual (2021, hosted by RIKEN-AIP), Naples (2022), CERN (2023), Melbourne (2024). The ninth edition, QTML 2025, will be hosted by the Centre for Quantum Technologies in Singapore.
Submissions to QTML 2025 are now closed. Notifications and registration will start from 11 August.
Conference Topics
We welcome contributions on a broad range of topics, including but not limited to:
Quantum algorithms for machine learning applications
Hybrid quantum-classical approaches for learning and optimization
Encoding and processing of data in quantum systems
Theoretical foundations of quantum learning
Quantum variational circuits and their applications
Quantum state and process tomography with learning-based approaches
Tensor methods and quantum-inspired machine learning
Quantum state reconstruction from data
Quantum-enhanced robustness in machine learning models
Machine learning techniques for experimental quantum information science
Fuzzy logic in quantum machine learning
Quantum kernel methods and their applications
Important Dates
1. Call for Papers Announcement: April 15, 2025
2. Paper Submission Deadline: June 8, 2025, 23:59 (Anywhere on Earth)
3. Poster Submission Deadline: extended to June 25, 2025, 23:59 (Anywhere on Earth)
4. Notification of Acceptance: August 11, 2025
5. Registration Opens: August 11, 2025
6. Early-Bird Registration Deadline: September 15, 2025
7. Registration Deadline: November 10, 2025
8. Conference Dates: November 16–21, 2025
QTML 2025 Committees
Programme Committee
- Maria Schuld (co-chair) – Xanadu
- Ryan Sweke (co-chair) – African Institute for Mathematical Sciences (AIMS)
- Abhinav Deshpande – University of Maryland
- Adrian Perez-Salinas – Freie Universität Berlin
- Alba Cervera Lierta – Barcelona Supercomputing Center
- Alessandra Di Pierro – Università di Verona
- Alexey Melnikov – Terra Quantum AG
- Annabelle Bohrdt – LMU München
- Antonio Mele – Freie Universität Berlin
- Armando Angrisani – EPFL
- Ben Jaderberg – IBM
- Brian Coyle – QC Ware
- Chae-Yeun Park – Yonsei University
- Dar Gilboa – Google
- David Windridge – Middlesex University
- Davide Venturelli – NASA
- Elias Combarro – University of Oviedo
- Eliska Greplova – Delft University of Technology
- Eric Anschuetz – Caltech
- Evan Peters – University of Waterloo
- Francesco Tacchino – IBM
- Ilya Sinayskiy – University of KwaZulu-Natal
- Ingo Roth – TII Abu Dhabi
- Jakob Kottmann – University of Augsburg
- Jarrod McClean – Google
- Jean-Roch Vlimant – Caltech
- Jens Eisert – Freie Universität Berlin
- Kohei Nakaji – NVIDIA
- Kunal Sharma – IBM
- Leonardo Banchi – University of Florence
- Lirandë Pira – National University of Singapore
- Lukasz Cincio – Los Alamos National Laboratory
- Manuel Rudolph – EPFL
- Marcel Hinsche – Freie Universität Berlin
- Marco Cerezo – Los Alamos National Laboratory
- Mark Wilde – Cornell University
- Martin Larocca – Los Alamos National Laboratory
- Matthias C. Caro – University of Warwick
- Michele Grossi – CERN
- Mina Doosti – University of Edinburgh
- Nana Liu – Shanghai Jiao Tong University
- Oscar Dahlsten – City University Hong Kong
- Patrick Rebentrost – National University of Singapore
- Ruslan Shaydulin – JPMorgan Chase
- Ryan LaRose – Michigan State University
- Shanawaz Ahmed – Chalmers University of Technology
- Shouvanik Chakrabarti – JPMorgan Chase
- Sofiene Jerbi – Freie Universität Berlin
- Srinivasan Arunachalam – IBM
- Sumeet Khatri – Virginia Tech
- Tai-Danae Bradley – City University of New York
- Thiparat Chotibut – Chulalongkorn University
- Tobias Haug – TII Abu Dhabi
- Vedran Dunjko – LIACS, Leiden University
- Vojtech Havlicek – IBM
Steering Committee
- Alessandra Di Pierro, Università di Verona, Italy
- Francesco Petruccione, Stellenbosch University, South Africa
- June-Koo Kevin Rhee, KAIST, South Korea
- Michele Grossi, CERN, Switzerland
- Giovanni Acampora, Università di Napoli, Italy
- Muhammad Usman, CSIRO and University of Melbourne, Australia
Organising Committee
- Patrick Rebentrost (co-chair), CQT, National University of Singapore
- Lirandë Pira (co-chair), CQT, National University of Singapore
- Marco Tomamichel, CQT, National University of Singapore
- Yvonne Gao, CQT, National University of Singapore
- Valerio Scarani, CQT, National University of Singapore
Location
Tutorials
Sunday 16 November
Tutorials will be held at the National University of Singapore
6 Science Drive 2, S16 Faculty of Science, Singapore 117546
Conference
Monday 17 - Friday 21 November
QTML 2025 conference sessions will be at Marina Bay Sands Singapore
Sands Expo and Convention Centre, 10 Bayfront Ave, Singapore 018956
Sponsors
If you are interested in becoming a sponsor, please get in touch with Lirandë Pira at lpira@nus.edu.sg