LANL: Theoretical Research Proves Machine Learning On Quantum Computers Requires Far Simpler Data

Simple data gets the most out of quantum machine learning:

New theoretical research proves that machine learning on quantum computers requires far simpler data than previously believed. The finding paves a path to maximizing the usability of today’s noisy, intermediate-scale quantum computers for simulating quantum systems and other tasks better than classical digital computers, while also offering promise for optimizing quantum sensors. Read full article here. Courtesy/LANL

LANL News:

Los Alamos National Laboratory (LANL) shares a compilation of news stories for the week of July 3, 2023.

Science: Climate change drives runoff from Arctic permafrost:

Rising temperatures and changes in precipitation are driving increases to streamflow in areas of high-latitude North America where permafrost dominates the landscape. Read the full article here. Courtesy/LANL

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