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. Additionally, the workshop will investigate large-scale machine learning algorithms, providing participants with practical insights to tackle computational challenges in big data environments.
Special emphasis will be placed on pioneering applications in healthcare, particularly the role of artificial intelligence in medical imaging
for precision medicine.
The workshop consists of structured discussion sessions and collaborative forums that foster meaningful knowledge exchange,
enabling participants to explore quantum technologies through diverse perspectives.
Fees Structure (Including Food and Conference Kit):
To complete your registration, please follow these steps: