Read article 'Four ways to interpret quantum mechanics'
Four ways to interpret quantum mechanics
Carlo Rovelli describes the major schools of thought on how to make sense of a purely quantum world.
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Read article 'Four ways to interpret quantum mechanics'
Carlo Rovelli describes the major schools of thought on how to make sense of a purely quantum world.
Read article 'Sensing at quantum limits'
Quantum sensors have become important tools in low-energy particle physics. Michael Doser explores opportunities to exploit their unparalleled precision at higher energies.
Read article 'The minimalism of many worlds'
David Wallace argues for the ‘decoherent view’ of quantum mechanics, where at the fundamental level there is neither probability nor wavefunction collapse.
Read article 'Discovering the neutrino sky'
Lu Lu looks forward to the next two decades of neutrino astrophysics, exploring the remarkable detector concepts needed to probe ultra-high energies from 1 EeV to 1 ZeV.
Read article 'Accelerators on autopilot'
Verena Kain highlights four ways machine learning is making the LHC more efficient.
Read article 'Powering into the future'
Nuria Catalan Lasheras and Igor Syratchev explain why klystrons are strategically important to the future of the field – and how CERN plans to boost their efficiency above 90%.
Read article 'The Hubble tension'
Vivian Poulin asks if the tension between a direct measurement of the Hubble constant and constraints from the early universe could be resolved by new physics.
Read article 'Do muons wobble faster than expected?'
With a new measurement imminent, the Courier explores the experimental results and theoretical calculations used to predict ‘muon g-2’ – one of particle physics’ most precisely known qu...
Read article 'Edoardo Amaldi and the birth of Big Science'
In an interview drawing on memories from childhood and throughout his own distinguished career at CERN, Ugo Amaldi offers deeply personal insights into his father Edoardo’s foundational contribution...
Read article 'How to unfold with AI'
Inspired by high-dimensional data and the ideals of open science, high-energy physicists are using artificial intelligence to reimagine the statistical technique of ‘unfolding’.