Resource estimation of Fault Tolerant algorithms using Qᴜᴀʟᴛʀᴀɴ

Understanding the constant factors for fault tolerant algorithms is imperative to quantify the utility of quantum computation and will ultimately drive substantial algorithmic improvements. Quantum algorithm researchers are writing long (50-100 page) papers describing quantum algorithms and performing resource estimation, using pages and pages of text. To accelerate this important work, we've released QUALTRAN - an open sourced Python library for expressing and analyzing Fault Tolerant quantum algorithms. In this talk, we will give an overvew of the high level features of our software package and demonstrate it's utility by presenting end to end resource estimation of a number of different state-of-the-art fault tolerant quantum algorithms.