9th International Conference on

Quantum Techniques
in Machine Learning

16-21 November, Singapore

Days
0
Topics
0

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.

The call for papers for QTML2025 is now open! Please read the submission guidelines before sending your abstract.

Submit Abstract

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 1, 2025

3. Notification of Acceptance: August 11, 2025

4. Registration Opens: August 11, 2025

5. Early-Bird Registration Deadline: September 15, 2025

6. Registration Deadline: November 10, 2025

7. Conference Dates: November 16–21, 2025

Submission Guidelines

Papers in the following categories are welcome

Extended abstracts

Work describing original results or summarizing already published works must be submitted in PDF format, single column, single-space, 11 point or higher fonts (a sample template can be downloaded here), maximum length of 3 pages (excluding references). Accepted abstracts will be presented at the conference as short or long talks. 

Posters

One-page abstracts describing the work to be exhibited as a poster must be submitted in PDF format, single column, single-space 11-point fonts. 

Submit Abstract

Please note: At the time of the submission, authors will be asked to specify the type of submission (talk or abstract) on the EasyChair webpage. If an abstract, submitted for a talk, is not selected, it will be automatically considered for a poster presentation. 

Please submit your contributions electronically via EasyChair. 

QTML 2025 Committee

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 

Sponsors

If you are interested in becoming a sponsor, please get in touch with Lirandë Pira at lpira@nus.edu.sg

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