Institut für Theoretische Physik, Universität Ulm, Albert-Einstein Allee 11, 89069 Ulm, Germany.
Nat Commun. 2010;1:149. doi: 10.1038/ncomms1147.
Quantum state tomography--deducing quantum states from measured data--is the gold standard for verification and benchmarking of quantum devices. It has been realized in systems with few components, but for larger systems it becomes unfeasible because the number of measurements and the amount of computation required to process them grows exponentially in the system size. Here, we present two tomography schemes that scale much more favourably than direct tomography with system size. One of them requires unitary operations on a constant number of subsystems, whereas the other requires only local measurements together with more elaborate post-processing. Both rely only on a linear number of experimental operations and post-processing that is polynomial in the system size. These schemes can be applied to a wide range of quantum states, in particular those that are well approximated by matrix product states. The accuracy of the reconstructed states can be rigorously certified without any a priori assumptions.
量子态层析--从测量数据中推断量子态--是验证和基准测试量子设备的金标准。它已经在组件较少的系统中实现,但对于更大的系统来说,由于处理它们所需的测量数量和计算量在系统尺寸上呈指数级增长,这变得不可行。在这里,我们提出了两种层析方案,它们与直接层析相比,与系统尺寸的扩展更为有利。其中一种方案需要对常数数量的子系统进行幺正操作,而另一种方案则只需要局部测量和更精细的后处理。这两种方案都只依赖于实验操作和后处理的线性数量,其数量是系统大小的多项式。这些方案可以应用于广泛的量子态,特别是那些可以很好地用矩阵乘积态来近似的量子态。重构态的准确性可以在没有任何先验假设的情况下严格证明。