The workshop (NLA-QCML) aims to advance the frontiers of computational science by uniting leading experts in traditional numerical methods, quantum computing, and machine learning. Through engaging discussions and collaborative exchanges, participants will explore the intersection of classical numerical techniques and quantum paradigms, revealing their combined potential to drive advancements in machine learning.

Attendees will gain a deeper understanding of the fundamentals of quantum computation and how quantum algorithms can revolutionize computational capabilities. Our experts will also address critical topics, including quantum error correction and post-quantum cryptography, ensuring a comprehensive understanding of the challenges and opportunities in this dynamic field.

The workshop (TCML) aimed to bring together both novice and experienced scientists with developers, to meet new colleagues, collect new ideas and establish new cooperation between research groups and provide a platform for researchers from academia and industry to present their original work and exchange ideas, information, techniques, and applications in the field of tensor computations and machine learning.

The workshop consisted of contributed talks and poster sessions covering important work and recent developments in tensor methods in machine learning and data sciences. Furthermore, the workshop included open discussion sessions to encourage the exchange of ideas and the development of a shared understanding of problems and methods among the workshop participants.