Local gradient optimization of modular entangling sequences
Local gradient optimization of modular entangling sequences
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DOI：
10.1103/physreva.97.062339
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发表时间：
2018-03
影响因子：
2.9
通讯作者：
A. Setser;M. Goerz;J. Kestner
中科院分区：
文献类型：
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作者：
A. Setser;M. Goerz;J. Kestner
逻辑纠缠门的实现是实现量子计算机的重要一步。我们使用基于梯度的优化方法来找到单量子比特旋转，这些旋转可以在噪声非局部门的应用之间交错，以显着抑制任意逻辑错误，同时将演化算子转向SU（4）门的完美纠缠子集。该方法的模块化允许应用于任何双量子比特系统，而不管实验实现的哈密顿量或细节。这种方法是有效的准静态和时间依赖的$1/f^{\alpha}$噪声。我们还展示了最终操作的保真度如何取决于局部旋转的保真度和噪声强度。
Implementation of logical entangling gates is an important step towards realizing a quantum computer. We use a gradient-based optimization approach to find single-qubit rotations which can be interleaved between applications of a noisy nonlocal gate to dramatically suppress arbitrary logical errors, while steering the evolution operator towards the perfectly entangling subset of SU(4) gates. The modularity of the approach allows for application to any two-qubit system, regardless of the Hamiltonian or details of the experimental implementation. This approach is effective for both quasi-static and time-dependent $1/f^{\alpha}$ noise. We also show how the fidelity of the final operation depends on both the fidelity of the local rotations and the noise strength.