论文标题
旅行时间地震反转的量子计算智能
Quantum computational intelligence for traveltime seismic inversion
论文作者
论文摘要
量子计算正处于实施的早期阶段。在过去的几年中，它的能力一直在增长，但其在多个科学领域的应用仍然仅限于简单化的问题。在此阶段，重要的是要确定量子计算给出准备部署技术时要准备的最有希望的结果的情况。地球物理领域的几个领域受到当前计算能力的限制，其中所谓的地震反演是最重要的倒置之一，它们是从量子计算中受益的强大候选者。在这项工作中，我们通过基于无梯度量子电路学习的近期量子算法实现了旅行时间地震反转的方法。我们证明，即使嘈杂的量子计算机，也可以解决地球物理问题。此外，我们将该方法的收敛性与变异量子算法进行了比较。
Quantum computing is in its early stage of implementation. Its capacity has been growing in the last years but its application in several fields of sciences is still restricted to oversimplified problems. In this stage, it is important to identify the situations where quantum computing presents the most promising results to be prepared when the technology is ready to be deployed. The geophysics field has several areas which are limited by the current computation capability, among them the so-called seismic inversion is one of the most important ones, which are strong candidates to benefit from quantum computing. In this work, we implement an approach for traveltime seismic inversion through a near-term quantum algorithm based on gradient-free quantum circuit learning. We demonstrate that a quantum computer with thousands of qubits, even if noisy, can solve geophysical problems. In addition, we compared the convergence of the method with the variational quantum algorithms.
