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LANL Researchers Develop New Algorithm for Fast Forwarding Quantum Simulations

By IQT News posted 08 Oct 2020

(HPC.Wire) Short coherence times currently limit the size of problems that can be addressed on today’s so-called Noisy Intermediate-Scale Quantum (NISQ) computers. Researchers from Los Alamos National Laboratory report in Nature developing a new algorithm that fast forwards simulations potentially expanding the range of problems tackled by NISQ systems.
Andrew Sornborger, a LANL researcher and senior author on the paper announcing the research said, “We use machine learning to create a quantum circuit that can approximate a large number of quantum simulation operations all at once. The result is a quantum simulator that replaces a sequence of calculations with a single, rapid operation that can complete before quantum coherence breaks down.”
Link to LANL article here.

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