activity
19932026
most citedpi-pi scattering in a QCD based model field theory

86 citations · 558 across the 51 of their papers we have counts for

collaborators
Showing 2023Show all

10 papers · 1 filter

hep-ex2023

Search for the semileptonic decays at Belle

Belle Collaboration, J. X. Cui, Y. B. Li +163

Using the full data sample of 980 collected with the Belle detector at the KEKB asymmetric energy electron-positron collider, we report the results of the first…

quant-ph2023★ 2 cited

Kernel Alignment for Quantum Support Vector Machines Using Genetic Algorithms

Floyd M. Creevey, Jamie A. Heredge, Martin E. Sevior +1

The data encoding circuits used in quantum support vector machine (QSVM) kernels play a crucial role in their classification accuracy. However, manually designing these circuits po…

quant-ph2023★ 39 cited

Provably Trainable Rotationally Equivariant Quantum Machine Learning

Maxwell T. West, Jamie Heredge, Martin Sevior +1

Exploiting the power of quantum computation to realise superior machine learning algorithmshas been a major research focus of recent years, but the prospects of quantum machine lea…

quant-ph2023★ 26 cited

Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning

Maxwell T. West, Azar C. Nakhl, Jamie Heredge +4

Quantum machine learning (QML) is emerging as an application of quantum computing with the potential to deliver quantum advantage, but its realisation for practical applications re…

quant-ph2023★ 14 cited

Boosted Ensembles of Qubit and Continuous Variable Quantum Support Vector Machines for B Meson Flavour Tagging

Maxwell T. West, Martin Sevior, Muhammad Usman

The recent physical realisation of quantum computers with dozens to hundreds of noisy qubits has given birth to an intense search for useful applications of their unique capabiliti…

quant-ph2023★ 19 cited

Permutation Invariant Encodings for Quantum Machine Learning with Point Cloud Data

Jamie Heredge, Charles Hill, Lloyd Hollenberg +1

Quantum Computing offers a potentially powerful new method for performing Machine Learning. However, several Quantum Machine Learning techniques have been shown to exhibit poor gen…

hep-ex2023★ 6 cited

Measurement of the branching fraction and asymmetry of decays using pairs in Belle II data

Belle II Collaboration, F. Abudinén, I. Adachi +425

We report measurements of the branching fraction and asymmetry in decays reconstructed at Belle II in an electron-positron collision sample contain…

hep-ex2023★ 10 cited

Measurement of the lifetime and flavor-oscillation frequency using hadronic decays reconstructed in 2019-2021 Belle II data

Belle II Collaboration, F. Abudinén, I. Adachi +393

We measure the lifetime and flavor-oscillation frequency using decays collected by the Belle II experiment in asymmetric-energy collisions produ…

hep-ex2023

A Time Projection Chamber to Search for Feebly Interacting Bosons via Proton Induced Nuclear Reactions

Martin Sevior, Michael Baker, Lindsey Bignell +7

We propose a new Time Projection Chamber particle detector (TPC) to search for the existence of feebly-interacting bosons and to investigate the existence of the X17 boson, propose…

hep-ex2023★ 10 cited

Measurement of decay-time-dependent violation in decays using 2019-2021 Belle II data

Belle II Collaboration, I. Adachi, L. Aggarwal +392

We report a measurement of the mixing-induced and direct violation parameters and from decays reconstructed by the…