论文标题
对可编程量子处理器进行顺序船尾grach实验的建议
Proposal for Sequential Stern-Gerlach Experiment with Programmable Quantum Processors
论文作者
论文摘要
船尾实验的历史意义在于它提供了最初的空间量化证据。随着时间的流逝,其顺序形式已演变为优雅的范式,有效地说明了量子理论的基本原理。迄今为止,尚未完全实现顺序的船尾实验实验的实际实现。在这项研究中,我们证明了可编程量子处理器模拟顺序施工 - gerlach实验的能力。适用于当前噪声量子硬件的局限性的特定参数浅量子电路,以复制船尾gerlach设备的功能,并能够在不同方向上执行测量。出人意料的是,已经证明,Wigner的船尾干涉仪可以很容易地在我们的顺序量子电路中实现。随着相同电路的利用,实施惠勒的延迟选择实验也是可行的。我们提出了跨形的可编程量子处理器来展示顺序实验的利用,模拟结果证明了与理论预测有很强的一致性。随着基于云的量子计算(例如Baqis Quafu)的快速发展,我们相信所提出的解决方案非常适合在云上部署,从而允许公共可访问性。我们的发现不仅扩大了量子计算机的潜在应用,而且还有助于更深入地理解量子理论的基本原理。
The historical significance of the Stern-Gerlach experiment lies in its provision of the initial evidence for space quantization. Over time, its sequential form has evolved into an elegant paradigm that effectively illustrates the fundamental principles of quantum theory. To date, the practical implementation of the sequential Stern-Gerlach experiment has not been fully achieved. In this study, we demonstrate the capability of programmable quantum processors to simulate the sequential Stern-Gerlach experiment. The specific parametric shallow quantum circuits, which are suitable for the limitations of current noisy quantum hardware, are given to replicate the functionality of Stern-Gerlach devices with the ability to perform measurements in different directions. Surprisingly, it has been demonstrated that Wigner's Stern-Gerlach interferometer can be readily implemented in our sequential quantum circuit. With the utilization of the identical circuits, it is also feasible to implement Wheeler's delayed-choice experiment. We propose the utilization of cross-shaped programmable quantum processors to showcase sequential experiments, and the simulation results demonstrate a strong alignment with theoretical predictions. With the rapid advancement of cloud-based quantum computing, such as BAQIS Quafu, it is our belief that the proposed solution is well-suited for deployment on the cloud, allowing for public accessibility. Our findings not only expand the potential applications of quantum computers, but also contribute to a deeper comprehension of the fundamental principles underlying quantum theory.