TL;DR:
- CERN will host the 7th edition of the Quantum Techniques in Machine Learning (QTML) conference from 19 to 24 November 2023.
- The conference aims to bring together top researchers and industry leaders to explore the intersection of machine learning and quantum physics.
- QTML has evolved from a workshop to a renowned international conference, with previous editions held in different countries.
- The event will feature keynote talks, tutorials, and discussions on topics such as quantum algorithms, machine learning for quantum physics, and quantum machine learning applications in various fields.
- A workshop on quantum software will follow the conference, focusing on the development of quantum software.
- The conference at CERN signifies the growing significance of quantum techniques in machine learning and their potential impact on the market.
Main AI News:
In a remarkable convergence of cutting-edge technology and scientific inquiry, CERN, the renowned European Organization for Nuclear Research, will be hosting the highly anticipated 7th edition of the annual Quantum Techniques in Machine Learning (QTML) conference. Scheduled to take place from 19 to 24 November 2023, this international event will serve as a pivotal gathering for leading academic researchers and industry players, aiming to facilitate a dynamic exchange of ideas through a series of captivating scientific talks that explore the intricate interplay between machine learning and quantum physics.
Originating as a modest two-day workshop in Verona, Italy, back in 2017, QTML has since undergone a remarkable evolution, rapidly gaining prominence as a premier conference that unites luminaries from the domains of quantum computing and machine learning. By fostering vibrant discussions on the latest advancements and future prospects within the burgeoning field of quantum machine learning, this remarkable conference has grown exponentially in scale and significance. Following its initial installment in Verona, subsequent editions of QTML were held in Durban, South Africa (2018), Daejeon, South Korea (2019), and Naples, Italy. In response to the challenges posed by the global pandemic, the 2020 and 2021 conferences were conducted online, hosted respectively by Zapata Computing and Riken. However, this year, QTML 2023 will reconvene in the awe-inspiring surroundings of CERN, Switzerland.
Over the course of one intense week, participants will be treated to a diverse array of enlightening talks delivered by esteemed key-note and invited speakers. In addition to the captivating presentations, the conference will also feature illuminating tutorials that delve into various topics at the nexus of quantum techniques and machine learning. These sessions will encompass a wide spectrum of research areas, including, but not limited to, quantum algorithms for machine learning, machine learning applications in quantum physics, quantum learning theory, quantum variational circuits, data encoding and processing in quantum systems, learning and optimization with hybrid quantum-classical methods, tensor methods and quantum-inspired machine learning, quantum machine learning for chemistry, biology, finance, and cybersecurity, machine learning for experimental quantum information, machine learning in quantum chemistry, quantum state reconstruction, quantum optimization, quantum evolutionary algorithms, fuzzy logic for quantum machine learning, and quantum-enhanced robustness in machine-learning models.
Building upon the momentum of the conference, a compelling workshop on quantum software will be conducted on Saturday, 25 November. Esteemed organizers Alessandra Di Pierro from the University of Verona and Carsten Blank from Data Cybernetics ssc GmbH will guide participants through this engaging session, further exploring the frontiers of quantum software development.
As anticipation mounts for this momentous event, CERN stands poised to welcome the brightest minds from around the globe, fostering an atmosphere of collaboration, innovation, and discovery. With each passing year, the Quantum Techniques in Machine Learning conference elevates the discourse surrounding these groundbreaking disciplines, paving the way for transformative breakthroughs that have the potential to reshape our technological landscape. Stay tuned as the world eagerly awaits the forthcoming insights and revelations that will undoubtedly emerge from this highly anticipated gathering at CERN.
Conclusion:
The hosting of the Quantum Techniques in Machine Learning conference at CERN is a testament to the growing importance of the convergence between quantum physics and machine learning. This significant event serves as a platform for leading researchers and industry players to exchange ideas and discuss the latest advancements in the field. The conference not only highlights the remarkable progress made in quantum machine learning but also underscores the potential market implications of harnessing these cutting-edge techniques. As the boundaries between quantum technologies and machine learning continue to blur, businesses across industries should closely monitor the outcomes of this conference, as it may pave the way for transformative applications and opportunities in the market.
