论文标题
通过自旋反转转换改善非Ququastic量子退火
Improving nonstoquastic quantum annealing with spin-reversal transformations
论文作者
论文摘要
由于量子蒙特卡洛模拟中的符号问题，因此很难模拟非常规的哈密顿量。但是，尚不清楚非差异性是否会导致量子退火的优势。在这里，我们表明量子位之间的yy互动使量子退火过程中的绝热路径，因此，性能取决于自旋反向转换。有了正确选择自旋反转转换的选择，具有YY互动的非Quallytocation Hamiltonian可以优于具有相似参数的拼写性汉密尔顿人。我们介绍了一个优化协议，以确定最佳转换并讨论次优的效果。
Nonstoquastic Hamiltonians are hard to simulate due to the sign problem in quantum Monte Carlo simulation. It is however unclear whether nonstoquasticity can lead to advantage in quantum annealing. Here we show that YY-interaction between the qubits makes the adiabatic path during quantum annealing, and therefore the performance, dependent on spin-reversal transformations. With the right choice of spin-reversal transformation, a nonstoquastic Hamiltonian with YY-interaction can outperform stoquastic Hamiltonians with similar parameters. We introduce an optimization protocol to determine the optimal transformation and discuss the effect of suboptimality.
