Stress as a Background in Dark Matter Direct Detection Experiments and Source of Decoherence in Superconducting Qubits

APA

Romani, R. (2022). Stress as a Background in Dark Matter Direct Detection Experiments and Source of Decoherence in Superconducting Qubits. Perimeter Institute for Theoretical Physics. https://pirsa.org/22110031

MLA

Romani, Roger. Stress as a Background in Dark Matter Direct Detection Experiments and Source of Decoherence in Superconducting Qubits. Perimeter Institute for Theoretical Physics, Nov. 08, 2022, https://pirsa.org/22110031

BibTex

          @misc{ scivideos_PIRSA:22110031,
            doi = {10.48660/22110031},
            url = {https://pirsa.org/22110031},
            author = {Romani, Roger},
            keywords = {Particle Physics},
            language = {en},
            title = {Stress as a Background in Dark Matter Direct Detection Experiments and Source of Decoherence in Superconducting Qubits},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2022},
            month = {nov},
            note = {PIRSA:22110031 see, \url{https://scivideos.org/pirsa/22110031}}
          }
          

Roger Romani University of California, Berkeley

Source Repository PIRSA
Collection

Abstract

With no hints of dark matter in the "classical WIMP" region of parameter space, experimentalists have begun searching in earnest for low mass (MeV-GeV scale) dark matter. However, efforts to probe this region of parameter space have been hindered by an unexpected and mysterious source of background events, dubbed the "low energy excess." Recently, mechanical stress has been shown to create a "low energy excess"-like source of events, and a microphysical picture of how stress creates this background is emerging. In addition to providing a path forward for low mass dark matter searches, these results may address several outstanding problems limiting the performance of superconducting quantum computers.

Zoom Link:  https://pitp.zoom.us/j/92147233613?pwd=RW5PaUNUZlE3SUNnTlZHaVFrdnV3dz09