PIRSA:17050097

Using quantum computing techniques to detect dark matter axions

Chou, A. (2017). Using quantum computing techniques to detect dark matter axions . Perimeter Institute. https://pirsa.org/17050097

Chou, Aaron. Using quantum computing techniques to detect dark matter axions . Perimeter Institute, May. 30, 2017, https://pirsa.org/17050097 

          @misc{ pirsa_PIRSA:17050097,
            doi = {10.48660/17050097},
            url = {https://pirsa.org/17050097},
            author = {Chou, Aaron},
            keywords = {Particle Physics},
            language = {en},
            title = {Using quantum computing techniques to detect dark matter axions },
            publisher = {Perimeter Institute},
            year = {2017},
            month = {may},
            note = {PIRSA:17050097 see, \url{https://pirsa.org}}
          }

Aaron Chou

New York University (NYU)

Talk number
PIRSA:17050097
Collection
Talk Type
Subject
Abstract

Quantum non-demolition measurements performed using qubit-based artificial atoms may enable the next generation of higher mass dark matter axion search experiments.  These QND measurements can precisely determine the amplitude of the photon wave sourced by the dark matter axions while placing the back reaction noise into the phase quadrature. By evading the standard quantum limit of phase-preserving amplifiers, the QND photon can potentially reduce readout noise by orders of magnitude.  Combined with the radio frequency quantum buses to extract the signals, the next generation axion dark matter detector may closely resemble or actually be a multi-qubit quantum computer.