论文标题
旋转启发的电路切割优化
Rotation-inspired circuit cut optimization
论文作者
论文摘要
最近的工作表明，可以将大量子电路切成量和分解为较小的量子电路簇，而量子量较少，可以在小量子计算机上独立执行。然后，经典后处理结合了每个集群的结果，以重建原始量子电路的输出。但是，这种混合量子古典算法的运行时在电路上的切割数中指数。我们提出了旋转启发的电路切割优化（RICCO），这是一种替代方法，可减少电路切割的后处理开销，而不得不解决优化问题。 RICCO在切割位置引入统一旋转以旋转量子状态，以使相对于一组可观察物的期望值最大化，而其他可观察值则将其设置为零。我们通过经典模拟VQE的少量实例并将其与现有的电路切割方法之一进行比较，证明了RICCO在VQE中的实际应用。
Recent works have demonstrated that large quantum circuits can be cut and decomposed into smaller clusters of quantum circuits with fewer qubits that can be executed independently on a small quantum computer. Classical post-processing then combines the results from each cluster to reconstruct the output of the original quantum circuit. However, the runtime for such hybrid quantum-classical algorithms is exponential in the number of cuts on a circuit. We propose Rotation-Inspired Circuit Cut Optimization (RICCO), an alternative method which reduces the post-processing overhead of circuit cutting, at the cost of having to solve an optimization problem. RICCO introduces unitary rotations at cut locations to rotate the quantum state such that expectation values with respect to one set of observables are maximized and others are set to zero. We demonstrate practical application of RICCO to VQE by classically simulating a small instance of VQE and comparing it to one of the existing circuit-cutting methods.
