A Caltech Library Service

Novel Quantum Sensors for Light Dark Matter and Neutrino Detection

Golwala, Sunil R. and Figueroa-Feliciano, Enectali (2022) Novel Quantum Sensors for Light Dark Matter and Neutrino Detection. Annual Review of Nuclear and Particle Science, 72 . pp. 419-446. ISSN 0163-8998. doi:10.1146/annurev-nucl-102020-112133.

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item:


The fields of light dark matter and neutrino physics offer compelling signals at recoil energies of eV to even meV, well below the ≳ keV thresholds of many techniques currently employed in these fields. Sensing of such small energies can benefit from the emergence of so-called quantum sensors, which employ fundamentally quantum mechanical phenomena to transduce energy depositions into electrical signals. This review focuses on quantum sensors under development that will enhance and extend the search for "particle-like" interactions of dark matter or enable new measurements of neutrino properties in the coming years.

Item Type:Article
Related URLs:
URLURL TypeDescription
Golwala, Sunil R.0000-0002-1098-7174
Figueroa-Feliciano, Enectali0000-0001-9285-5556
Additional Information:The authors acknowledge an uncountable number of conversations with experts in the topics covered in this review over the years, with special thanks to (in alphabetical order) Rana Adhikari, Blas Cabrera, Aaron Chou, Peter Day, Jiansong Gao, Kent Irwin, Nikita Klimovich, Noah Kurinsky, Konrad Lehnert, Omid Noroozian, Matt Pyle, Karthik Ramanathan, Bernard Sadoulet, Tanner Trickle, Kevin (Zhengkang) Zhang, Jonas Zmuidzinas, and Kathryn Zurek. They acknowledge support from the US Department of Energy, NASA, the National Science Foundation, and their home institutions.
Group:Astronomy Department
Funding AgencyGrant Number
Department of Energy (DOE)UNSPECIFIED
Record Number:CaltechAUTHORS:20221017-15547800.44
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:117479
Deposited By: Research Services Depository
Deposited On:25 Oct 2022 19:57
Last Modified:25 Oct 2022 19:57

Repository Staff Only: item control page