Phys.org April 6, 2021
Researchers at the Fermi National Accelerator Laboratory have developed two new algorithms that build upon existing work to in the field to further diversify the types of problems quantum computers can solve. To get around the probabilistic nature of superpositions the researchers developed the non-Boolean quantum amplitude amplification algorithm which is open to more tasks. A second algorithm they introduced dubbed the quantum mean estimation algorithm allows scientists to estimate the average. Both algorithms do away with having to reduce scenarios into computations with only two types of output, and instead allow for a range of outputs to characterize information more accurately with a quantum speedup over classical computing methods. According to the researchers the newly introduced algorithms may eventually allow scientists to reach target sensitivities faster in certain experiments. The work will be presented at an upcoming conference… read more. Open Access TECHNICAL ARTICLEÂ
Qubits can be in a superposition of 0 and 1, while classical bits can be only one or the other. Credit: Jerald Pinson