8th International Conference on

Quantum Techniques in Machine Learning

University of Melbourne | Melbourne, Australia | 25-29 November 2024

Welcome to QTML 2024

Quantum Techniques in Machine Learning (QTML) is an annual international conference focusing on the interdisciplinary field of quantum technology and machine learning. The goal of the conference is to gather leading academic researchers and industry players to interact through a series of scientific talks focussed on the interplay between machine learning and quantum physics.

Abstract submissions are now closed.
Late submissions are considered only for Poster Presentations.
For Poster consideration, please email your 1-page PDF abstract to qtml2024@gmail.com

Important Dates

Abstract Submission Open

Abstract Submission Close

Abstract Notification

Early registration close

Early program announcement (subject to change)

Registration close

Late abstract submission close (poster only)

Final program announcement

TOPICS

Topics covered include, but not limited to

Quantum methods for machine learning tasks

Learning and optimization

Quantum variational circuits

Quantum-inspired machine learning

Data encoding and processing in quantum systems

Dequantization and classical simulation methods in QML

Machine learning for quantum experiments

Quantum learning theory

Fuzzy logic for quantum machine learning

Quantum state reconstruction from data and tomography

Quantum machine learning algorithms

Benchmarking quantum machine learning

QTML: An International Event

Quantum Techniques in Machine Learning (QTML) is an annual international conference focusing on the interdisciplinary field of quantum technology and machine learning.