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通过逆量子和H-Gain特征进行初始状态编码
Elijah Pelofske1, Georg Hahn2, Hristo Djidjev1,3
1CCS-3 Information Sciences, Los Alamos National Laboratory, Los Alamos, NM 87545 USA.
概括
本研究探讨了D波量子炉的反 (RA) 和h-gain (HG) 特性,以改进优化解决方案. 在某些问题上,h-gain技术为反提供了一个可行的替代方案.
科学领域:
- 量子计算是一种量子计算.
- 计算优化计算优化
背景情况:
- D-Wave量子化器为优化提供云访问量子化.
- 提高量子化中的溶液质量是一个活跃的研究领域.
研究的目的:
- 通过编码初始状态来提高量子化器溶液质量的方法.
- 为了比较逆 (RA) 和h-gain (HG) 特性对于初始状态编码的有效性.
主要方法:
- 探索D-Wave的反 (RA) 功能,用于提炼溶液.
- 使用h-gain (HG) 特性从特定的初始状态偏向化.
- 开发和测试混合RA-HG方法和代应用这两种技术.
- 对最大切割和最大点击等组合优化问题的评估,以及使用D-Wave硬件对旋转眼镜的评估.
主要成果:
- 该h-gain (HG) 特性被证明是量子化中初始状态编码的RA的可行替代品.
- RA和HG的代应用显示了单调改进解决方案的潜力.
- 在各种问题和D-Wave硬件架构 (Chimera,Pegasus) 上分析了代RA和HG的性能.
结论:
- 在量子化中,RA和HG都有效用于初始状态编码.
- 这些技术的代应用可以带来越来越好的解决方案.
- HG 是对 RA 的一个有希望的替代品或补充,用于优化量子化器上的问题解决.
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