Work

Continuous-variable quantum neural networks

Year: 2019

Type: article

Abstract: Neural networks and quantum computers are both key technologies for the next generation of computing. This paper demonstrates that these two types of computation can be executed with the same physical platform, based on photonics. This provides a natural extension of classical machine learning algorithms into the quantum realm.

Source: Physical Review Research

DOI: 10.1103/physrevresearch.1.033063

Authors: Nathan Killoran, Thomas R. Bromley, Juan Miguel Arrazola, Maria Schuld, Nicolás Quesada, Seth Lloyd

Institutions: Xanadu Quantum Technologies (Canada), Massachusetts Institute of Technology

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,625

Funder: Army Research Office