July 11, 2019
Discovery Park to host International Quantum Machine Learning and Data Analytics Workshop
Discovery Park’s Purdue Quantum Science and Engineering Institute in partnership with the Integrative Data Science Initiative will host a Quantum Machine Learning and Data Analytics Workshop on Sept. 5-6 in the Hall for Discovery and Learning Research.
With the rapid development of quantum computers, a number of quantum algorithms have been developed and tested on both superconducting qubits-based machines and ion trap hardware. Quantum machine learning is expected to be a potential application of quantum computers in the near future. Many quantum machine learning algorithms have been proposed to speed up classical machine learning by quantum computers. At the same time, deep learning has shown great power in solving real-world problems.
“This workshop aims to bring together international leading experts in this new field of quantum machine learning,” says Sabre Kais, professor of chemistry at Purdue. Kais is chair of the organizing committee along with members Travis Humble of Oak Ridge National Laboratory and Jason Tuner of the Entanglement Institute. Discussions will center on the recent development of quantum algorithms to perform machine learning tasks on large-scale scientific data sets for various industrial and technological applications. This will aid in solving challenging problems in science and engineering.
Invited speakers include Masoud Mohseni, senior research scientist at Google Quantum Artificial Intelligence Laboratory; Jacob Biamonte, associate professor at the Skolkovo Institute of Science and Technology; Antonio Mezzacapo, research staff member at the IBM T.J. Watson Research Center; Chad Rigetti, founder of Rigetti Computing Co.; and Barry Sanders, director of the University of Calgary’s Institute for Quantum Science and Technology.
“Quantum machine learning has the potential to provide a computational advantage to many areas of science and technology,” says Tomás Díaz de la Rubia, vice president for Discovery Park. “We are pleased to be able to host this workshop and its cadre of talented experts in the field.”
Yong P. Chen, director of Purdue Quantum Science and Engineering Institute and professor of physics and astronomy and electrical and computer engineering, says, “This is one of a series of workshops organized by Purdue Quantum Science and Engineering Institute this year. Potential applications of quantum machine learning and data analytics could extend beyond science and engineering to the business world.”
The registration deadline for this event is Aug. 15. Registration information may be found online. The complete list of speakers can be found on the conference website. Deadline for submitting posters is Aug. 1.
For more information, contact Melissa Gulick at firstname.lastname@example.org.
About Discovery Park
Discovery Park is a place where Purdue researchers move beyond traditional boundaries, collaborating across disciplines and with policymakers and business leaders to create solutions for a better world. Grand challenges of global health, global conflict and security, and those that lie at the nexus of sustainable energy, world food supply, water and the environment are the focus of researchers in Discovery Park. The translation of discovery to impact is integrated into the fabric of Discovery Park through entrepreneurship programs and partnerships.
Located in Discovery Park, PQSEI fosters the development of practical and impactful aspects of quantum science, and focuses on discovering and studying new materials, devices and basic physical quantum systems that will be suited for integration into tomorrow’s technology. It encourages interdisciplinary collaboration leading to the design and realization of quantum devices with enhanced functionality and performance close to the fundamental limit, aiming to ultimately bring them to a vast community of users. PQSEI faculty work on a broad range of topics in quantum science and technologies including quantum materials and devices, quantum photonics, atomic molecular and optical physics, quantum chemistry, quantum measurement and control, quantum simulation, and quantum information and computing.
Integrative Data Science Initiative is designed to build on and advance Purdue's existing strengths to position the University as a leader at the forefront of advancing data science-enabled research and education, by tightly coupling theory, discovery and applications while providing students with an integrated, data science-fluent campus ecosystem. The initiative is hosted by Purdue’s Discovery Park.