(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.
LANL Researchers Develop New Algorithm for Fast Forwarding Quantum Simulations
