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Measuring the stability of fundamental constants with a network of clocks

Giovanni Barontini, Laura Blackburn, Vincent Boyer, Filip Butuc-Mayer, Xavier Calmet, J. R. Crespo López-Urrutia, E. A. Curtis, Benoît Darquié, Jacob Dunningham, N. J. Fitch, E. M. Forgan, Katerina Georgiou, P. Gill, R. M. Godun, J. Goldwin, Vera Guarrera, Aaron Harwood, Ian R. Hill, Richard Hendricks, Minki Jeong, M Y H Johnson, Matthias Keller, Lakshmi Priya Kozhiparambil Sajith, Folkert Kuipers, H. S. Margolis, Charles S. Mayo, P. R. Newman, Adam O. Parsons, L. Prokhorov, Billy Robertson, Jonas Rodewald, M. S. Safronova, B. E. Sauer, M. Schioppo, Nathaniel Sherrill, Y. V. Stadnik, K. Szymaniec, M. R. Tarbutt, R. C. Thompson, Alexandra Tofful, Jacob Tunesi, A. Vecchio, Y. Wang, S. D. Worm

2022EPJ Quantum Technology58 citationsDOIOpen Access PDF

Abstract

Abstract The detection of variations of fundamental constants of the Standard Model would provide us with compelling evidence of new physics, and could lift the veil on the nature of dark matter and dark energy. In this work, we discuss how a network of atomic and molecular clocks can be used to look for such variations with unprecedented sensitivity over a wide range of time scales. This is precisely the goal of the recently launched QSNET project: A network of clocks for measuring the stability of fundamental constants. QSNET will include state-of-the-art atomic clocks, but will also develop next-generation molecular and highly charged ion clocks with enhanced sensitivity to variations of fundamental constants. We describe the technological and scientific aims of QSNET and evaluate its expected performance. We show that in the range of parameters probed by QSNET, either we will discover new physics, or we will impose new constraints on violations of fundamental symmetries and a range of theories beyond the Standard Model, including dark matter and dark energy models.

Topics & Concepts

PhysicsDark energyDark matterAtomic clockPhysics beyond the Standard ModelRange (aeronautics)Sensitivity (control systems)Physical constantStandard Model (mathematical formulation)Lift (data mining)Fundamental interactionStability (learning theory)Theoretical physicsQuantum mechanicsComputer scienceParticle physicsAerospace engineeringCosmologyQuantumElectronic engineeringArchaeologyEngineeringQuantum gravityGauge (firearms)HistoryMachine learningData miningAtomic and Subatomic Physics ResearchAdvanced Frequency and Time StandardsQuantum optics and atomic interactions
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