论文标题
量子辅助模拟器
Quantum Assisted Simulator
论文作者
论文摘要
量子模拟可以帮助我们研究众所周知的主题，例如高温超导性和药物设计。但是，当前量子计算机的现有量子模拟算法通常具有阻碍其应用程序的缺点。在这里，我们提供了一种新型的混合量子古典算法，用于模拟量子系统的动力学。我们的方法将ANSATZ波函数作为量子状态的线性组合。量子状态是固定的，并且组合参数已变化。与现有的变分量子模拟算法不同，我们的算法不需要任何经典的量词反馈回路，并且通过构造绕过贫瘠的高原问题。此外，我们的算法不需要任何复杂的测量值，例如Hadamard测试。整个框架与现有的实验能力兼容，因此可以立即实现。
Quantum simulation can help us study poorly understood topics such as high-temperature superconductivity and drug design. However, existing quantum simulation algorithms for current quantum computers often have drawbacks that impede their application. Here, we provide a novel hybrid quantum-classical algorithm for simulating the dynamics of quantum systems. Our approach takes the Ansatz wavefunction as a linear combination of quantum states. The quantum states are fixed, and the combination parameters are variationally adjusted. Unlike existing variational quantum simulation algorithms, our algorithm does not require any classical-quantum feedback loop and by construction bypasses the barren plateau problem. Moreover, our algorithm does not require any complicated measurements such as the Hadamard test. The entire framework is compatible with existing experimental capabilities and thus can be implemented immediately.
