PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
September 12, 2025The European Physical Journal Plus28 citationsOpen Access

Quantum information meets high-energy physics: input to the update of the European strategy for particle physics

View Full Paper
YAY. AfikFFF. FabbriMLMatthew Low

Key Points

  • Quantum information can be explored at high-energy levels provided by particle colliders, expanding the potential research scope.
  • Collider environments are suitable for quantum information measurements, allowing for quantum state reconstruction via tomography.
  • Innovative research in this area could significantly impact both quantum information theory and high-energy physics.
  • Considering various challenges, the development of this field could redefine approaches to studying fundamental interactions.

Abstract

Some of the most astonishing and prominent properties of Quantum Mechanics, such as entanglement and Bell nonlocality, have only been studied extensively in dedicated low-energy laboratory setups. The feasibility of these studies in the high-energy regime explored by particle colliders was only recently shown and has gathered the attention of the scientific community. For the range of particles and fundamental interactions involved, particle colliders provide a novel environment where quantum information theory can be probed, with energies exceeding by about 12 orders of magnitude those employed in dedicated laboratory setups. Furthermore, collider detectors have inherent advantages in performing certain quantum information measurements and allow for the reconstruction of the state of the system under consideration via quantum state tomography. Here, we elaborate on the potential, challenges, and goals of this innovative and rapidly evolving line of research and discuss its expected impact on both quantum information theory and high-energy physics.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Afik et al. (2025) studied this question.

synapsesocial.com/papers/68d44c4d31b076d99fa55ecfhttps://doi.org/10.1140/epjp/s13360-025-06752-9
Ask AI
Helpful
Bookmark
Share
View Full Paper