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Quantum sensing for particle physics

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arxiv 2305.11518 v2 pith:4SCNJQTA submitted 2023-05-19 quant-ph hep-exhep-phphysics.ins-det

classification quant-phhep-exhep-phphysics.ins-det
keywords physicsquantumfundamentalparticlesensingdarkincludematter
verification ladder T0 review T1 audit T2 compute T3 formal
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Quantum sensing is a rapidly growing approach to probe fundamental physics and explore new phase space for possible new physics with precision and highly sensitive measurements in our quest to understand the deep structure of matter and its interactions. This field uses properties of quantum mechanics in the detectors to go beyond traditional measurement techniques. Key particle physics topics where quantum sensing can play a vital role include neutrino properties, tests of fundamental symmetries (Lorentz invariance and the equivalence principle as well as searches for electric dipole moments and possible variations in fundamental constants), the search for dark matter and testing ideas about the nature of dark energy. Interesting new sensor technologies include atom interferometry, optomechanical devices, and atomic and nuclear clocks including with entanglement. This Perspective explores the opportunities for these technologies in future particle physics experiments, opening new windows on the structure of the Universe.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Running Vacuum in the expanding Universe: a unified QFT paradigm for Inflation and Dark Energy

    gr-qc 2026-06 unverdicted novelty 3.0 of 10

    The running vacuum model derives dynamical vacuum energy from QFT in curved spacetime, using H^4 terms for inflation and H^2 terms for dark energy while G evolves logarithmically.

  2. Quantum algorithms for the simulation of QCD processes in the perturbative regime

    hep-ph 2024-12 conditional novelty 3.0 of 10

    Quantum circuits for the colour algebra of perturbative QCD are presented and validated on a simulator, matching analytic colour factors for example diagrams.

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