QIS 3.0: Highly Entangled States of Light
Abstract
Quantum technologies are poised to revolutionize our society. At the core of this new scientific and technological revolution, there is entanglement. Entanglement is one of the most peculiar phenomena in quantum physics, and the ability to artificially generate, manipulate and distribute entangled particles is a prerequisite in order to lay the foundation for an array of future technologies and enable transformative scientific and industrial progress. One of the most interesting classes of highly entangled quantum states are graph and cluster states. Those borrow their name from the fact that they can be represented as graphs: every node is a single qubit, and edges between qubtits represent some form of entanglement. Those special types of states constitute a fundamental resource for the processing of quantum information. To date, different approaches have been suggested for creating such states. However, a general framework to compare the efficiency of these approaches and their suitability for entanglement distribution in realistic environments is presently missing. The objective of this project is to fill this gap, and to develop a flexible computational and theoretical framework for a deep understanding of the physical process behind the creation and manipulation of large-sized cluster states. The proposed technical approach will be based on existing and novel results at the intersection of graph theory, entanglements theory and computer science. The outcome of the project will be a versatile tool to study and understand the fundamental physics behind the generation, manipulation and distribution of graph states. This result will pave the way for the development of large-scale quantum networks with allphotonic quantum repeaters, among other applications.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 20, 2023
- Accession Number
- AD1230829
Entities
People
- Hoi-kwong Lo
- Mattia Montagna
- Piotr Roztocki
- Stefania Sciara
- Yoann Jestin