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Showing 1 to 5 of 5 for “"Ising machine"”.

  1. Ising Machine Based on Electrically Coupled Spin Hall Nano-Oscillators

    The Ising machine is an unconventional computing architecture that can solve NP-hard combinatorial optimization problems more efficiently than traditional von Neumann computing architectures. The spin Hall nano-oscillator has potential as a building block for a high-speed, low-power Ising machine

    mit Repository record for Ising Machine Based on Electrically Coupled Spin Hall Nano-Oscillators (opens in a new tab)

  2. Stochastic In-memory Computing Using Magnetic Tunnel Junctions

    … designs for a Bayesian inference accelerator and Ising machine are also provided. Our results show magnetic tunnel junctions could open up rich design space for future computing hardware.

    mit Repository record for Stochastic In-memory Computing Using Magnetic Tunnel Junctions (opens in a new tab)

  3. Physics-inspired Computing and its Applications

    … problems, by using the example of the Coherent Ising Machine (CIM), the gain-based XY machine, and the spatial-photonic Ising machine (SPIM), each of which demonstrating a unique approach to harnessing physical phenomena for computational tasks. After establishing the working principles of …

    cambridge Repository record for Physics-inspired Computing and its Applications (opens in a new tab)

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

    … further theoretically suggest how the discrete Ising and $n$-state planar Potts models with or without external fields can be simulated using gain-dissipative platforms. The underlying operational principle originates from a combination of resonant and non-resonant pumping. Spatial anisotropy of …

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

  5. Domain-specific accelerators using optically-addressed phase change memory

    … (DSAs) for various applications, including machine learning (ML), combinatorial optimization, and fully homomorphic encryption (FHE). However, traditional electronic accelerators face significant challenges in both performance and energy efficiency, largely due to the memory wall problem and …

    bu Repository record for Domain-specific accelerators using optically-addressed phase change memory (opens in a new tab)