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Showing 1 to 2 of 2 for “"Physics-inspired algorithms"”.

  1. From Electron Glasses to Quantum Machine Learning: A Study in Quadratic Unconstrained Binary Optimization

    … set of possible configurations. Many simplistic algorithms, such as the gradient descent, fail to solve hard QUBO problems within a reasonable time frame as they find themselves lingering through the myriad of valleys and hills, hardly ever advancing toward the true ground state. Hence, designing …

    tamu Repository record for From Electron Glasses to Quantum Machine Learning: A Study in Quadratic Unconstrained Binary Optimization (opens in a new tab)

  2. Unconventional computing platforms and nature-inspired methods for solving hard optimisation problems

    … to such problems often leads to new optimisation algorithms. This thesis focuses on studying gain-dissipative systems and nature-inspired algorithms that form a hybrid architecture that may soon rival classical hardware. Chapter 1 lays the necessary foundation and explains various …

    cambridge Repository record for Unconventional computing platforms and nature-inspired methods for solving hard optimisation problems (opens in a new tab)