Detecting Planck-Scale Dark Matter with Quantum Interference

In spite of the large astronomical evidence for its effects, the nature of dark matter remains enigmatic. Particles that interact only, or almost only, gravitationally, in particular with masses around the Planck mass-the fundamental scale of quantum gravity-are intriguing candidates. Here, we show that there is a theoretical possibility to directly detect such particles using highly sensitive gravity-mediated quantum phase shifts. In particular, we illustrate a protocol utilizing Josephson junctions.

Authors

Institutions

Publication Details

Journal
Physical Review Letters
Published
2024-09-09
DOI
https://doi.org/10.1103/physrevlett.133.111001
Citations
7
Primary Topic
Dark Matter and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
4.62

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detecting Planck-Scale Dark Matter with Quantum Interference

Alejandro Pérez, Marios Christodoulou, Carlo Rovelli
7 citations
Physical Review Letters
Dark Matter and Cosmic Phenomena
4.62
article

Detecting Planck-Scale Dark Matter with Quantum Interference

Alejandro Pérez, Marios Christodoulou, Carlo Rovelli
article en
7 citations

Abstract

In spite of the large astronomical evidence for its effects, the nature of dark matter remains enigmatic. Particles that interact only, or almost only, gravitationally, in particular with masses around the Planck mass-the fundamental scale of quantum gravity-are intriguing candidates. Here, we show that there is a theoretical possibility to directly detect such particles using highly sensitive gravity-mediated quantum phase shifts. In particular, we illustrate a protocol utilizing Josephson junctions.

Physical Review LettersVol. 133(11)
Western University (CA), Université de Toulon (FR), Perimeter Institute (CA), Institute of Philosophy (HU), Center for Pastor Theologians (US)
John Templeton Foundation
Climate action
Openalex Percentile: Top 4%
Dark Matter and Cosmic Phenomena
4.62
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.