A Quintillion Calculations a Second: DOE Calculating the Benefits of Exascale and Quantum Computers – SciTechDaily

By U.S. Department of EnergyAugust 6, 2020

To keep qubits used in quantum computers cold enough so scientists can study them, DOEs Lawrence Berkeley National Laboratory uses a sophisticated cooling system. Credit: Image courtesy of Thor Swift, Lawrence Berkeley National Laboratory

A quintillion calculations a second. Thats one with 18 zeros after it. Its the speed at which an exascale supercomputer will process information. The Department of Energy (DOE) is preparing for the first exascale computer to be deployed in 2021. Two more will follow soon after. Yet quantum computers may be able to complete more complex calculations even faster than these up-and-coming exascale computers. But these technologies complement each other much more than they compete.

Its going to be a while before quantum computers are ready to tackle major scientific research questions. While quantum researchers and scientists in other areas are collaborating to design quantum computers to be as effective as possible once theyre ready, thats still a long way off. Scientists are figuring out how to build qubits for quantum computers, the very foundation of the technology. Theyre establishing the most fundamental quantum algorithms that they need to do simple calculations. The hardware and algorithms need to be far enough along for coders to develop operating systems and software to do scientific research. Currently, were at the same point in quantum computing that scientists in the 1950s were with computers that ran on vacuum tubes. Most of us regularly carry computers in our pockets now, but it took decades to get to this level of accessibility.

In contrast, exascale computers will be ready next year. When they launch, theyll already be five times faster than our fastest computer Summit, at Oak Ridge National Laboratorys Leadership Computing Facility, a DOE Office of Science user facility. Right away, theyll be able to tackle major challenges in modeling Earth systems, analyzing genes, tracking barriers to fusion, and more. These powerful machines will allow scientists to include more variables in their equations and improve models accuracy. As long as we can find new ways to improve conventional computers, well do it.

Once quantum computers are ready for prime time, researchers will still need conventional computers. Theyll each meet different needs.

DOE is designing its exascale computers to be exceptionally good at running scientific simulations as well as machine learning and artificial intelligence programs. These will help us make the next big advances in research. At our user facilities, which are producing increasingly large amounts of data, these computers will be able to analyze that data in real time.

Quantum computers, on the other hand, will be perfect for modeling the interactions of electrons and nuclei that are the constituents of atoms. As these interactions are the foundation for chemistry and materials science, these computers could be incredibly useful. Applications include modeling fundamental chemical reactions, understanding superconductivity, and designing materials from the atom level up. Quantum computers could potentially reduce the time it takes to run these simulations from billions of years to a few minutes. Another intriguing possibility is connecting quantum computers with a quantum internet network. This quantum internet, coupled with the classical internet, could have a profound impact on science, national security, and industry.

Just as the same scientist may use both a particle accelerator and an electron microscope depending on what they need to do, conventional and quantum computing will each have different roles to play. Scientists supported by the DOE are looking forward to refining the tools that both will provide for research in the future.

For more information, check out this infographic:

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A Quintillion Calculations a Second: DOE Calculating the Benefits of Exascale and Quantum Computers - SciTechDaily

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