走向材料的近期量子模拟
Laura Clinton1, Toby Cubitt1, Brian Flynn2
1Phasecraft Ltd., London, UK.
Nature communications
|January 24, 2024
概括
本研究引入了一种量子算法,以降低材料模拟的成本. 它显著改善了材料科学中的量子计算应用的电路深度.
科学领域:
- 量子计算是一种量子计算.
- 材料科学是一种材料科学.
- 计算化学是一种计算化学.
背景情况:
- 量子计算机为确定物质性质提供了有前途的应用.
- 当前量子硬件的局限性包括高电路深度和量子位数,阻碍复杂的模拟.
- 在近期量子设备上模拟材料仍然是一个重大挑战.
研究的目的:
- 开发一种新的量子算法,以降低材料模拟的计算成本.
- 提高量子算法的效率,用于计算材料的基本和激发状态属性.
- 解决目前用于材料科学应用的量子硬件的局限性.
主要方法:
- 开发一种量子算法,在Wannier基础上结合局部材料哈密尔顿数.
- 实施混合费米子到量子比特映射技术.
- 使用高效的量子电路编译器来优化模拟参数.
主要成果:
- 为了模拟过渡金属氧化物 SrVO3,实现了直至6个数量级的电路深度改进.
- 通过利用材料的哈密尔顿定位,证明了一个量子电路设计,深度独立于系统大小.
- 显示了量子材料模拟估计成本的显著降低.
结论:
- 开发的量子算法为近期量子硬件上更可行的材料模拟提供了一条途径.
- 在没有完全可扩展的,耐故障的量子计算机的情况下,对特定材料特性进行现实的模拟可能是可以实现的.
- 将材料理解整合到量子算法设计中,对于推进材料科学中的量子模拟至关重要.
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