On random circuits and their uses in compilation
APA
Campbell, E. (2020). On random circuits and their uses in compilation. Perimeter Institute. https://pirsa.org/20100062
MLA
Campbell, Earl. On random circuits and their uses in compilation. Perimeter Institute, Oct. 28, 2020, https://pirsa.org/20100062
BibTex
@misc{ pirsa_PIRSA:20100062, doi = {10.48660/20100062}, url = {https://pirsa.org/20100062}, author = {Campbell, Earl}, keywords = {Quantum Information}, language = {en}, title = {On random circuits and their uses in compilation}, publisher = {Perimeter Institute}, year = {2020}, month = {oct}, note = {PIRSA:20100062 see, \url{https://pirsa.org}} }
I will review work by myself and others in recent years on the use of randomization in quantum circuit optimization. I will present general results showing that any deterministic compiler for an approximate synthesis problem can be lifted to a better random compiler. I will discuss the subtle issue of what "better" means and how it is sensitive to the metric and computation task at hand. I will then review specific randomized algorithms for quantum simulations, including randomized Trotter (Su & Childs) and my group's work on the qDRIFT and SPARSTO algorithms. The qDRIFT algorithm is of particular interest as it gave the first proof that Hamiltonian simulation is possible with a gate complexity that is independent of the number of terms in the Hamiltonian. Since quantum chemistry Hamiltonians have a very large ( ~N^4) number of terms, randomization is especially useful in that setting. I will conclude by commenting on a recent Caltech paper with interesting results on the derandomization of random algorithms! Some of the relevant preprints include:
https://arxiv.org/abs/1910.06255