Quantum support vector machines demonstrated improved scaling with training data compared to variational quantum classifiers for Higgs classification, though both remained below top classical methods in this rigorous benchmark study.

Quantum support vector machines demonstrated improved scaling with training data compared to variational quantum classifiers for Higgs classification, though both remained below top classical methods in this rigorous benchmark study.
In the paper 'Observation of the rare Bs0 →µ+µ− decay from the combined analysis of CMS and LHCb data,' Bedeschi is listed as an author. Combining data from two major detectors made the signal statistically significant. #CMS #LHCb #HighEnergyPhysics
Antimatter promises extraordinary energy density, but density is not supply.
EP11 follows E=mc² from 1 gram to 180 TJ, then turns to the real bottleneck: production.
The energy is enormous. The quantity we can actually make is astonishingly small.
NITheCS & MITP Seminar
‘Modelling Early-Time Baryon Dynamics in the Fragmentation Region’ – Dr Mawande Lushozi (UCT)
📅 Tue, 15 Sept 2026
🕐 13h15-14h15 SAST
📍 Attend in person or online
buff.ly/MBzaaxe
#QuantumChromodynamics #HeavyIonCollisions #BaryonDynamics #HighEnergyPhysics #ParticlePhysics