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    reinforcement learning tagged posts

    AI Approach Offers Solutions to Tricky Optimization Problems, from Global Package Routing to Power Grid Operation

    December 7, 2023, Categories  Physics

    A stylized Earth has undulating, glowing teal pathways leading everywhere.
    Researchers from MIT and ETH Zurich have developed a new, data-driven machine-learning technique that could be applied to many complex logistical challenges, such as package routing, vaccine distribution, and power grid management.
    Credits:Image: iStock

    While Santa Claus may have a magical sleigh and nine plucky reindeer to help him deliver presents, for companies like FedEx, the optimization problem of efficiently routing holiday packages is so complicated that they often employ specialized software to find a solution.

    This software, called a mixed-integer linear programming (MILP) solver, splits a massive optimization problem into smaller pieces and uses generic algorithms to try and find the best solution. However, the solver could take hours—or even days—to arrive at a solution...

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    Deep Learning for Quantum Sensing

    February 8, 2023, Categories  Physics, Technology/Electronics

    Scheme of the implemented deep learning protocol.
    Scheme of the implemented deep learning protocol. A limited number of quantum probe states are fed into the sensor treated as a black box. A grid of measurement results is collected to train a neural network, which learns the posterior probability distribution associated with the single-measurement Bayesian update. Such distribution is used to define the reward of the RL agent that sets the control phases on the black-box device. Image credit: Cimini et al., doi 10.1117/1.AP.5.1.016005

    Quantum sensing represents one of the most promising applications of quantum technologies, with the aim of using quantum resources to improve measurement sensitivity...

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