Paul Mabey, Author at Physics World

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Paul Mabey

Paul is a Scientific Editor at IOP Publishing. After completing his PhD in plasma physics at the University of Oxford, he moved abroad to work as a researcher at École Polytechnique Paris and then Freie Universität Berlin. He joined IOP Publishing in 2024 and has been working on Reports on Progress in Physics since then. He can often be found on a Saturday morning at one of Bristol's parkruns.

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Artistic impression of a quantum algorithm

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Are longer quantum algorithms actually good?

Researchers from the US and the UK have studied the relationship between a quantum algorithm’s runtime and its resilience to noise, with unexpected results

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The hunt for long-lived particles produced in proton-proton collisions at the LHC

The CMS collaboration at CERN have searched for evidence of long-lived particles beyond the Standard Model in proton-proton collision events

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The destructive effects of ionising radiation

Research from the ASTRID2 synchrotron in Denmark has highlighted the importance of interatomic Coulombic decay in radiation damage experiments

Electrical power transferred through cables

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A route to more efficient wireless charging?

New research has emerged that suggests wireless power transfer could be made more efficient by leveraging the power of dispersion

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Enzymes, stock prices and temperature alerts

When does an observable that follows a random trajectory reach a certain target value for the first time? And what about if it’s not enough to simply arrive at the target?

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Studying quantum materials under strain on picosecond timescales

A team of researchers from the SLAC National Accelerator Laboratory have studied how terbium tritelluride behaves under strain to reveal competing ground states

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How does entanglement affect high-energy collisions?

An international team of physicists has studied how particles are produced in high-energy electron–proton collisions through the lens of entanglement entropy

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Understanding strongly correlated topological insulators

A team of researchers from the Kavli Institute for Theoretical Sciences, China, have developed a new framework for modelling strongly correlated topological insulators

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Machine learning for quantum systems

Researchers from Tel Aviv University have developed a new method for simulating complex quantum systems that can be combined with cutting edge AI techniques

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Another win for lepton flavour universality

Researchers from the CMS collaboration have analysed data from proton-proton collisions in an attempt to find cracks in the Standard Model of particle physics

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Paul Mabey

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