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- Dagur Ingi Albertsson
- Division of Electronics and Embedded Systems, KTH Royal Institute of Technology 1 , 164 40 Kista, Sweden
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- Mohammad Zahedinejad
- Physics Department, University of Gothenburg 2 , 412 96 Gothenburg, Sweden
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- Afshin Houshang
- Physics Department, University of Gothenburg 2 , 412 96 Gothenburg, Sweden
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- Roman Khymyn
- Physics Department, University of Gothenburg 2 , 412 96 Gothenburg, Sweden
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- Johan Åkerman
- Physics Department, University of Gothenburg 2 , 412 96 Gothenburg, Sweden
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- Ana Rusu
- Division of Electronics and Embedded Systems, KTH Royal Institute of Technology 1 , 164 40 Kista, Sweden
説明
<jats:p>Combinatorial optimization problems are known for being particularly hard to solve on traditional von Neumann architectures. This has led to the development of Ising Machines (IMs) based on quantum annealers and optical and electronic oscillators, demonstrating speed-ups compared to central processing unit (CPU) and graphics processing unit (GPU) algorithms. Spin torque nano-oscillators (STNOs) have shown GHz operating frequency, nanoscale size, and nanosecond turn-on time, which would allow their use in ultrafast oscillator-based IMs. Here, we show using numerical simulations based on STNO auto-oscillator theory that STNOs exhibit fundamental characteristics needed to realize IMs, including in-phase/out-of-phase synchronization and second harmonic injection locking phase binarization. Furthermore, we demonstrate numerically that large STNO network IMs can solve Max-Cut problems on nanosecond timescales.</jats:p>
収録刊行物
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- Applied Physics Letters
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Applied Physics Letters 118 (11), 2021-03-15
AIP Publishing
