Entanglement Harvesting in Flat Spacetime

The behaviour of quantum states under the influence of gravity is not well understood. Relativistic quantum information (RQI) is a fairly new field of physics that uses information theory as a framework for investigating phenomena that involve both quantum mechanics (QM) and general relativity (GR). For example, it has been shown that spatially separated particle detectors can become entangled through local interactions with the quantum vacuum – a phenomenon known as entanglement harvesting. The degree to which the detectors become entangled is dependent on the properties of the spacetime they exist in, such as its curvature and expansion, hence entanglement harvesting provides a way of exploring the overlap of QM and GR. In this research I will describe the entanglement harvesting capabilities of a pair of particle detectors in flat spacetime. I will then generalise this result to an arbitrary inertial reference frame. While this generalisation is not expected to provide a different numerical answer, the emphasis of my research will be on the development of appropriate mathematical methods for incorporating relativistic effects into the calculation. These tools will then be available for further research into entanglement harvesting and other topics in RQI.

Angus Walsh

RMIT University

Angus is in the final year of a Communications Engineering and Physics double degree at RMIT University. His academic interests are in Information Theory, Quantum Physics, and the overlap of these fields. Before attending university he had an unorthodox education, first being homeschooled and then completing high school part time. While always passionate about science, his particular interest in physics and mathematics grew from the enthusiasm of his high school teachers for these subjects. After completing his undergraduate studies he plans on pursuing a PhD in Physics.

You may be interested in

Alex Paviour

Alex Paviour

Facts Are Relative
Kristian Caracciolo

Kristian Caracciolo

Control Strategies for a Superspreading Virus at Very Low Prevalence
Linden Hutchinson

Linden Hutchinson

Advanced Routing for a Mixed Fleet of Electric Vehicles
Simran Bindra

Simran Bindra

Bayesian Estimation of Flexible Models for Sports Data
Contact Us

We're not around right now. But you can send us an email and we'll get back to you, asap.

Not readable? Change text.