Date30th, Jul 2019

Summary:

The large, error-correcting quantum computers envisioned today could be decades away, yet experts are vigorously trying to come up with ways to use existing and near-term quantum processors to solve u...

Full text:

Home > Press > Virginia Tech researchers lead breakthrough in quantum computing

Nick Mayhall, Sophia Economou, and Ed Barnes, all of the Virginia Tech College of Science.

CREDIT
Virginia Tech Nick Mayhall, Sophia Economou, and Ed Barnes, all of the Virginia Tech College of Science. CREDIT Virginia Tech

Abstract: The large, error-correcting quantum computers envisioned today could be decades away, yet experts are vigorously trying to come up with ways to use existing and near-term quantum processors to solve useful problems despite limitations due to errors or "noise."

Blacksburg, VA | Posted on July 26th, 2019

A key envisioned use is simulating molecular properties. In the long run, this can lead to advances in materials improvement and drug discovery. But not with noisy calculations confusing the results.

Now, a team of Virginia Tech chemistry and physics researchers have advanced quantum simulation by devising an algorithm that can more efficiently calculate the properties of molecules on a noisy quantum computer. Virginia Tech College of Science faculty members Ed Barnes, Sophia Economou, and Nick Mayhall recently published a paper in Nature Communications detailing the advancement.

Quantum computers are expected to be able to carry out certain kinds of calculations far more efficiently than the "classical" computers in use today. They are similar to classical computers, however, in that they run algorithms by applying sequences of logic gates -- in this case, "quantum gates," which together form quantum circuits -- to bits of information. For today's noisy quantum computers, the problem has been that so much noise would accumulate within a circuit that the computation would degrade and render any subsequent calculations inaccurate. Scientists have had difficulty designing circuits that are both shorter and more accurate.

The Virginia Tech team addressed this issue by developing a method that grows the circuit in an iterative way. "We start with a minimal circuit, then grow it as we add on logic gate after logic gate in short circuits until the computer finds the solution," said Mayhall, an assistant professor in the Department of Chemistry.

A second major benefit of the algorithm is that Barnes, Economou, and Mayhall designed it to adapt itself based upon the molecular system being simulated. Different molecules will dictate their own circuits, uniquely tailored to them.

The interdisciplinary collaboration between Virginia Tech's departments of Chemistry and Physics -- Barnes, Economou, and Mayhall and a team of graduate students and postdocs from both departments -- have received grants from the National Science Foundation and the U.S. Department of Energy totaling more than $2.8 million.

Virginia Tech and IBM recently established a partnership that gives the researchers access to IBM's quantum computing hardware. "Our team at Virginia Tech is really excited for the next steps in our work," said Economou, an associate professor in the Department of Physics, "which include implementing our algorithm on IBM's processors."

####

For more information, please click here

Contacts:Lon Wagner

540-231-6468

Copyright © Virginia Tech

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.

Bookmark: Delicious Digg Newsvine Google Yahoo Reddit Magnoliacom Furl Facebook

RELATED JOURNAL ARTICLE:

News and information

Two opposing approaches could give lithium-sulfur batteries a leg up over lithium-ion July 1st, 2022

Robot nose that can �smell� disease on your breath: Scientists develop diagnostic device for identifying compounds unique to particular diseases 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

Possible Futures

Technologies boost potential for carbon dioxide conversion to useful products: Researchers explore use metal-organic frameworks based catalysts for hydrogenation of carbon dioxide July 1st, 2022

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

CEA & Partners Present �Powerful Step Towards Industrialization� Of Linear Si Quantum Dot Arrays Using FDSOI Material at VLSI Symposium: Invited paper reports 3-step characterization chain and resulting methodologies and metrics that accelerate learning, provide data on device pe June 17th, 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

Finding coherence in quantum chaos: Theoretical breakthrough creates path to manipulating quantum chaos for laboratory experiments, quantum computing and black-hole research May 27th, 2022

Discoveries

Technologies boost potential for carbon dioxide conversion to useful products: Researchers explore use metal-organic frameworks based catalysts for hydrogenation of carbon dioxide July 1st, 2022

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

Robot nose that can �smell� disease on your breath: Scientists develop diagnostic device for identifying compounds unique to particular diseases 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

Technologies boost potential for carbon dioxide conversion to useful products: Researchers explore use metal-organic frameworks based catalysts for hydrogenation of carbon dioxide July 1st, 2022

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