As the Department of Energy’s largest multi-program science and energy laboratory, ORNL employs almost 5,000 people, including scientists and engineers in more than 100 disciplines. The Atos QLM-30, processing up to 30 quantum bits (Qubits) in-memory, installed at ORNL was operational within hours thanks to Atos’ fast-start process. Set up as a stand-alone appliance, the Atos QLM can run on premise ensuring confidentiality of clients’ research programs and data.
ORNL’s Quantum Computing Institute Director, Dr. Travis Humble says:
“At ORNL, we are preparing for the next-generation of high-performance computing by investigating unique technologies such as quantum computing.
We are researching how quantum computing can provide new methods for advancing scientific applications important to the Department of Energy.
Our researchers focus on applications in the physical sciences, such as chemistry, materials science, and biology, as well as the applied and data sciences. Numerical simulation helps to guide development of these scientific applications and support understanding program correctness. The Atos Quantum Learning Machine provides a unique platform for testing new quantum programming ideas.”
Thierry Breton, CEO and Chairman of Atos, adds:
“We are glad to accompany Oak Ridge National Laboratory from the outset in what is likely to be the next major technological evolution. Thanks to our Atos Quantum Learning Machine, designed by our quantum lab supported by an internationally renowned Scientific Council, researchers from the Department of Energy will benefit from a simulation environment which will enable them to develop quantum algorithms to prepare for the major accelerations to come.”
In the coming years, quantum computing should be able to tackle the explosion of data brought about by Big Data and the Internet of Things. Thanks to its innovative targeted computing acceleration capabilities based in particular on the exascale class supercomputer Bull Sequana, quantum computing should also foster developments in deep learning, algorithms and artificial intelligence for domains as varied as pharmaceutical or new materials. To move forward on these issues, Atos plans to set up several partnerships with research centers and universities around the world.
