Virginia Tech Team Advances Quantum Simulations On Noisy Quantum Computers
Virginia Tech researchers lead breakthrough in quantum computing
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+ 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.” 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.
[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.
+ 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.”
Source: 7th Space. 7th Space, Virginia Tech researchers lead breakthrough in quantum computing…
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