不稳定状态的扩散及其对两个合的克尔参数振荡器中随机失衡动态的影响
Toni L Heugel1, R Chitra1, Alexander Eichler2,3
1Institute for Theoretical Physics, <a href="https://ror.org/05a28rw58">ETH Zurich</a>, CH-8093 Zurich, Switzerland.
Physical review. E
|July 18, 2024
概括
在非线性参数共振器网络中的不稳定解决方案对于Ising机器至关重要. 这些不稳定的状态决定了在随机动态中稳定的状态之间的切换路径和速率.
科学领域:
- 非线性动力学是一种非线性动力学.
- 复杂的系统复杂的系统.
- 量子计算是一种量子计算.
背景情况:
- 非线性参数共振器的网络显示出对Ising机器的前景,对于和优化至关重要.
- 这些系统表现出复杂的相位图,具有多个共存的静止状态.
- 包括产生不稳定的解决方案在内的分叉是理解状态过渡的关键.
研究的目的:
- 研究不稳定的解决方案在非线性参数共振器网络的随机动态中的基本作用.
- 通过实验证明不稳定状态如何影响稳定解决方案之间的切换路径和速率.
主要方法:
- 在非线性参数共振器网络中对二叉的理论分析.
- 在一个合的双共振器网络中,对噪声激活的切换动态进行实验性研究.
主要成果:
- 从根本上来说,由于分叉而产生的不稳定的解决方案决定了随机动态.
- 这些不稳定的状态决定了在稳定状态之间切换的特定路径和速率.
- 实验结果证实了不稳定状态对双共振器系统中切换动态的影响.
结论:
- 不稳定的解决方案不仅仅是文物,而是基于参数共振器的Ising机器运行动态中的关键组件.
- 了解和控制这些不稳定的状态对于优化这些网络中的和优化流程至关重要.
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