  Numerical annealing and renormalization group have conceived various
successful approaches to study the thermodynamics of strongly-correlated
systems where perturbation or expansion theories fail to work. As the process
of lowering the temperatures is usually involved in different manners, these
approaches in general become much less efficient or accurate at the low
temperatures. In this work, we propose to access the finite-temperature
properties from the tensor network (TN) representing the zero-temperature
partition function. We propose to "scissor" a finite part from such an
infinite-size TN, and "stitch" it to possess the periodic boundary condition
along the imaginary-time direction. We dub this approach as TN tailoring.
Exceptional accuracy is achieved with a fine-tune process, surpassing the
previous methods including the linearized tensor renormalization group [Phys.
Rev. Lett. 106, 127202 (2011)], continuous matrix product operator [Phys. Rev.
Lett. 125, 170604 (2020)], and etc. High efficiency is demonstrated, where the
time cost is nearly independent of the target temperature including the
extremely-low temperatures. The proposed idea can be extended to
higher-dimensional systems of bosons and fermions.
