论文标题
重力波匹配的量子计算机上的过滤
Gravitational-wave matched filtering on a quantum computer
论文作者
论文摘要
最先进的量子计算机的适用性非常有限。在这里,我们报告了基于Qubit的匹配过滤的第一个实验证明,以检测来自二进制黑洞合并的重力波信号。通过对嘈杂的超导量子的实施,我们获得了与经典计算相似的二进制黑洞合并的相似信号噪声比,从而为实用相关任务提供了量子的效用的证据。我们为此应用发明的算法是一种使用量子和经典计算的蒙特卡洛算法。它为时间域卷积提供了准季度的速度,类似于快速傅立叶变换。
State of the art quantum computers have very limited applicability for accurate calculations. Here we report the first experimental demonstration of qubit-based matched filtering for a detection of the gravitational-wave signal from a binary black hole merger. With our implementation on noisy superconducting qubits, we obtained a similar signal-to-noise ratio for the binary black hole merger as achievable with classical computation, providing evidence for the utility of qubits for practically relevant tasks. The algorithm we invented for this application is a Monte Carlo algorithm which uses quantum and classical computation together. It provides a quasi-quadartic speed-up for time-domain convolution, similar to achievable with fast Fourier transform.