Quantum Brain
← Back to papers

Quantum advantage and noise reduction in distributed quantum computing

J. Avron, O. Casper, Ilan Rozen·April 15, 2021·DOI: 10.1103/PhysRevA.104.052404
Physics

AI Breakdown

Get a structured breakdown of this paper — what it's about, the core idea, and key takeaways for the field.

Abstract

Distributed quantum computing can give substantial noise reduction due to shallower circuits. An experiment illustrates the advantages in the case of Grover search. This motivates studying the quantum advantage of the distributed version of the Simon and Deutsch-Jozsa algorithm. We show that the distributed Simon algorithm retains the exponential advantage, but the complexity deteriorates from O(n) to O(n^2), where n = log2(N). The distributed Deutsch-Jozsa deteriorates to being probabilistic but retains a quantum advantage over classical random sampling.

Related Research

Quantum Intelligence

Ask about quantum research, companies, or market developments.