| Date | 25th, Oct 2019 |
|---|
Home > Press > Quantum supremacy milestone harnesses ORNL Summit supercomputer
ORNL researcher Travis Humble was part of a team that demonstrated that a quantum computer can outperform a classical computer at certain tasks, a feat known as quantum supremacy.
CREDIT
Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy
Abstract: A joint research team from Google Inc., NASA Ames Research Center, and the Department of Energy's Oak Ridge National Laboratory has demonstrated that a quantum computer can outperform a classical computer at certain tasks, a feat known as quantum supremacy.
Oak Ridge, TN | Posted on October 25th, 2019
Quantum computers use the laws of quantum mechanics and units known as qubits to greatly increase the threshold at which information can be transmitted and processed. Whereas traditional "bits" have a value of either 0 or 1, qubits are encoded with values of both 0 and 1, or any combination thereof, allowing for a vast number of possibilities for storing data.
While still in their early stages, quantum systems have the potential to be exponentially more powerful than today's leading classical computing systems and promise to revolutionize research in materials, chemistry, high-energy physics, and across the scientific spectrum. The team's results, published today in Nature, provide a proof of concept for quantum supremacy and establish a baseline comparison of time-to-solution and energy consumption.
"This achievement of quantum supremacy is a testament to the strength of American innovation, and DOE's Labs are helping lead the way in this groundbreaking area of research," DOE Under Secretary for Science Paul Dabbar said. "The mastery of quantum technology is creating a new Information Age that offers new ways to process information to benefit science and society."
In this case the quantum computer, built by Google and dubbed Sycamore, consisted of 53 qubits. The classical computer was ORNL's Summit, housed at the Oak Ridge Leadership Computing Facility (OLCF) and ranked as the world's most powerful thanks to its more than 4,600 compute nodes.
Both systems performed a task known as random circuit sampling (RCS), designed specifically to measure the performance of quantum devices such as Sycamore. The simulations took 200 seconds on the quantum computer; after running the same simulations on Summit the team extrapolated that the calculations would have taken the world's most powerful system more than 10,000 years to complete with current state-of-the-art algorithms, providing experimental evidence of quantum supremacy and critical information for the design of future quantum computers. Not only was Sycamore faster than its classical counterpart, but it was also approximately 10 million times more energy efficient.
The researchers also estimated the performance of individual components to accurately predict the performance of the entire Sycamore device, demonstrating that quantum information behaves consistently as it is scaled up--a necessary property for the design of large-scale quantum computers.
"This experiment establishes that today's quantum computers can outperform the best conventional computing for a synthetic benchmark," said ORNL researcher and Director of the laboratory's Quantum Computing Institute Travis Humble. "There have been other efforts to try this, but our team is the first to demonstrate this result on a real system."
That real system was critical. Researchers at Google and NASA's Ames Research Center in Silicon Valley attempting to tackle the problem using NASA resources quickly realized they needed a more powerful computer. And none are more powerful than ORNL's Summit.
Porting a quantum calculation to the classical Summit was no easy task. The RCS simulator, known as qFlex, initially included a CPU-only implementation. Summit, however, derives much of its world-class speed from NVIDIA graphics processing units (GPUs), which tackle computationally intensive math problems while the CPUs efficiently direct tasks.
A library developed by the OLCF's Dmitry Liakh for performing tensor algebra operations on multicore CPUs and GPUs allowed the team to take advantage of all of Summit which, along with the IBM system's 512 gigabytes of memory per node, increased the speed of the simulation 46-fold per node (using 4,550 of Summit's nodes) as compared to the previous implementation that ran solely on CPUs.
"That the simulation proving the validity of a next-generation architecture such as quantum was run on ORNL's Summit is indicative of the lab's long history of accelerated computing innovation and the necessity of classical supercomputers in realizing the potential of quantum computing," ORNL Associate Laboratory Director for Computing and Computational Sciences Jeff Nichols said.
ORNL's Titan was the first leadership computing system to harness the power of GPUs, allowing it to debut at number one in 2012 and remain among the top 10 world's most powerful systems until 2018. It was Titan's success that enabled the development of Summit and, by extension, is driving the design of Frontier, slated to be among the nation's first exascale computers when it is delivered in 2021.
The laboratory has been planning for post-exascale platforms for more than a decade via dedicated research programs in quantum computing, networking, sensing and quantum materials. These efforts aim to accelerate the understanding of how near-term quantum computing resources can help tackle today's most daunting scientific challenges and support the recently announced National Quantum Initiative, a federal effort to ensure American leadership in quantum sciences, particularly computing.
Such leadership will require systems like Summit to ensure the steady march from devices such as Sycamore to larger-scale quantum systems exponentially more powerful than anything in operation today.
"Realizing the potential of quantum computing requires partnerships that leverage the strengths of innovators like Google and ORNL," ORNL Director Thomas Zacharia said. "This milestone is an inspiration to the next generation of researchers who will help push the frontiers of what's possible in computing and scientific discovery."
###
The research was supported by DOE's Office of Science. The OLCF is a DOE Office of Science User Facility.
####
About Oak Ridge National LaboratoryUT-Battelle LLC manages Oak Ridge National Laboratory for DOE's Office of Science, the single largest supporter of basic research in the physical sciences in the United States. DOE's Office of Science is working to address some of the most pressing challenges of our time. For more information, visit https://energy.gov/science
For more information, please click here
Contacts:Scott Jones
865-221-9866
Copyright © Oak Ridge National Laboratory
If you have a comment, please Contact us.
Issuers of news releases, not 7th Wave, Inc. or Nanotechnology Now, are solely responsible for the accuracy of the content.
News and information
Two opposing approaches could give lithium-sulfur batteries a leg up over lithium-ion July 1st, 2022
Efficiently processing high-quality periodic nanostructures with ultrafast laser July 1st, 2022
Photonic synapses with low power consumption and high sensitivity are expected to integrate sensing-memory-preprocessing capabilities July 1st, 2022
Quantum Physics
Quantum network nodes with warm atoms June 24th, 2022
University of Illinois Chicago joins Brookhaven Lab's Quantum Center June 10th, 2022
Bumps could smooth quantum investigations: Rice University models show unique properties of 2D materials stressed by contoured substrates June 10th, 2022
Videos/Movies
Scientists prepare for the world�s smallest race: Nanocar Race II March 18th, 2022
Visualizing the invisible: New fluorescent DNA label reveals nanoscopic cancer features March 4th, 2022
OCSiAl receives the green light for Luxembourg graphene nanotube facility project to power the next generation of electric vehicles in Europe March 4th, 2022
Nanotube fibers stand strong -- but for how long? Rice scientists calculate how carbon nanotubes and their fibers experience fatigue December 24th, 2021
Govt.-Legislation/Regulation/Funding/Policy
Solving the solar energy storage problem with rechargeable batteries that can convert and store energy at once June 24th, 2022
Boron nitride nanotube fibers get real: Rice lab creates first heat-tolerant, stable fibers from wet-spinning process June 24th, 2022
UBCO researchers change the game when it comes to activity tracking: Flexible, highly sensitive motion device created by extrusion printing June 17th, 2022
University of Illinois Chicago joins Brookhaven Lab's Quantum Center June 10th, 2022
Possible Futures
Sieving carbons: Ideal anodes for high-energy sodium-ion batteries July 1st, 2022
An artificial intelligence probe help see tumor malignancy July 1st, 2022
Photon-controlled diode: an optoelectronic device with a new signal processing behavior July 1st, 2022
Quantum Computing
University of Illinois Chicago joins Brookhaven Lab's Quantum Center June 10th, 2022
Bumps could smooth quantum investigations: Rice University models show unique properties of 2D materials stressed by contoured substrates June 10th, 2022
Discoveries
Sieving carbons: Ideal anodes for high-energy sodium-ion batteries July 1st, 2022
Efficiently processing high-quality periodic nanostructures with ultrafast laser July 1st, 2022
Photonic synapses with low power consumption and high sensitivity are expected to integrate sensing-memory-preprocessing capabilities July 1st, 2022
Announcements
Two opposing approaches could give lithium-sulfur batteries a leg up over lithium-ion July 1st, 2022
Efficiently processing high-quality periodic nanostructures with ultrafast laser July 1st, 2022
Photonic synapses with low power consumption and high sensitivity are expected to integrate sensing-memory-preprocessing capabilities July 1st, 2022
Interviews/Book Reviews/Essays/Reports/Podcasts/Journals/White papers/Posters
Sieving carbons: Ideal anodes for high-energy sodium-ion batteries July 1st, 2022
An artificial intelligence probe help see tumor malignancy July 1st, 2022
Photon-controlled diode: an optoelectronic device with a new signal processing behavior July 1st, 2022
Grants/Sponsored Research/Awards/Scholarships/Gifts/Contests/Honors/Records
Solving the solar energy storage problem with rechargeable batteries that can convert and store energy at once June 24th, 2022
Boron nitride nanotube fibers get real: Rice lab creates first heat-tolerant, stable fibers from wet-spinning process June 24th, 2022
Research partnerships
New technology helps reveal inner workings of human genome June 24th, 2022
Boron nitride nanotube fibers get real: Rice lab creates first heat-tolerant, stable fibers from wet-spinning process June 24th, 2022
