近-term量子模拟的横向场异斯模型暗示了玻璃动力学
A near-term quantum simulation of the transverse field Ising model hints at Glassy Dynamics
AI总结：
该研究通过量子模拟展示横向场异斯模型的玻璃动力学特征，利用VQE方法计算基态能量和自旋配置，揭示无序对催化反应的影响，为探索复杂量子动力学提供新视角。
摘要：
我们展示了横向场异斯模型的量子电路模拟，包含纵向场，显示出玻璃动力学的显著特征。考虑了玩具模型的能量景观和自旋配置，使用变分量子本征值求解器（VQE）来获得6×6异斯晶格（使用36个量子比特）和25个量子比特的1维异斯链的基态能量及其对应的本征态。前者显示了特定混合值的两个场下的无序自旋配置。这些见解映射到催化过程，其中催化剂内部的无序可能导致不高效的反应机制。我们原理验证实现的结果支持了利用现有量子计算工具进行计算探测复杂动力学行为的必要性，以研究量子物质中的复杂动力学行为。我们的目标是利用量子信息处理的工具，以更细致地理解玻璃系统的动力学和结构，最终促进新型材料和技术的发展。
英文摘要：
We demonstrate quantum circuit simulations of the transverse field Ising model with longitudinal fields, displaying salient features of glassy dynamics. The energy landscape and spin configurations of toy models are considered, using the Variational Quantum Eigensolver (VQE) to obtain the ground-state energies and corresponding eigenstates for a $6 \times 6$ Ising lattice using 36 qubits and a 1-dimensional Ising chain of length 25 using 25 qubits. The former showed disordered spin configurations for a specific mixture of values of the two fields. These insights mirror catalytic processes, where disorder within a catalyst can lead to inefficient reaction mechanisms. Results obtained from our proof-of-principle implementation make the case for kick-starting more concentrated efforts in harnessing existing quantum computational tools for computationally probing complex dynamical behaviour arising in quantum matter. Our aim is to leverage tools from quantum information processing to bring about a more nuanced understanding of the dynamics and structure of glassy systems, ultimately informing the development of novel materials and technology.
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