论文标题
具有可微分量子变换的量子计算
Quantum computing with differentiable quantum transforms
论文作者
论文摘要
我们为可区分的量子变换提供了一个框架。这种转换是能够以保持其可不同性的方式来操纵量子程序的元图。我们通过跨量子计算（梯度计算，电路汇编和误差减轻）的一组相关示例来强调它们的潜力，并使用Pennylane的变换框架（用于可区分量子编程的软件库）实现它们。在此框架中，变换本身是可区分的，可以进行参数化和优化，这为在一系列任务范围内提高了改善量子资源需求的可能性。
We present a framework for differentiable quantum transforms. Such transforms are metaprograms capable of manipulating quantum programs in a way that preserves their differentiability. We highlight their potential with a set of relevant examples across quantum computing (gradient computation, circuit compilation, and error mitigation), and implement them using the transform framework of PennyLane, a software library for differentiable quantum programming. In this framework, the transforms themselves are differentiable and can be parametrized and optimized, which opens up the possibility of improved quantum resource requirements across a spectrum of tasks.
