Quantum Networks for High Energy Physics

TL;DR

Quantum networks have the potential to revolutionize high energy physics by enabling advanced simulations and measurements, but require new error correction strategies for reliable quantum information processing across various scales.

Contribution

This paper discusses the potential of quantum networks in high energy physics and highlights the need for error mitigation and correction strategies for practical implementation.

Findings

Quantum networks can enable simulation of physical phenomena in HEP.

Quantum sensor networks can improve measurements of fundamental constants.

Quantum networks could operate at multiple scales from nano to global.

Abstract

Quantum networks of quantum objects promise to be exponentially more powerful than the objects considered independently. To live up to this promise will require the development of error mitigation and correction strategies to preserve quantum information as it is initialized, stored, transported, utilized, and measured. The quantum information could be encoded in discrete variables such as qubits, in continuous variables, or anything in-between. Quantum computational networks promise to enable simulation of physical phenomena of interest to the HEP community. Quantum sensor networks promise new measurement capability to test for new physics and improve upon existing measurements of fundamental constants. Such networks could exist at multiple scales from the nano-scale to a global-scale quantum network.