We extend our circuit compression algorithms to free fermionic systems on arbitrary lattices, incorporate particle creation operations, and allow for controlled evolution.
We report a series benchmarks conducted in NERSC's Perlmutter system using a GPU adaptation of QCLAB++, a light-weight, fully-templated C++ package for quantum circuit simulations.
This paper proposes a nested state preparation circuit construction with a high degree of quantum parallelism. We test this circuit to load a variety of data sets stemming from applications and process them directly on a real QPU.
We introduce a uniform framework for quantum pixel representations that encompasses many of the popular image representations proposed in the literature. We propose a novel circuit implementation with an efficient compression algorithm.