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Quantum Pathways for Charged Track Finding in High-Energy Collisions
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In high-energy particle collisions, charged track finding is a complex yet crucial endeavour. We propose a quantum algorithm, specifically quantum template matching, to enhance the accuracy and efficiency of track finding. Abstracting the Quantum Amplitude Amplification routine by introducing a data register, and utilising a novel oracle construction, allows data to be parsed to the circuit and matched with a hit-pattern template, without prior knowledge of the input data. Furthermore, we address the challenges posed by missing hit data, demonstrating the ability of the quantum template matching algorithm to successfully identify charged-particle tracks from hit patterns with missing hits. Our findings therefore propose quantum methodologies tailored for real-world applications and underline the potential of quantum computing in collider physics.
Forward citations
Cited by 3 Pith papers
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Quantum simulation of scattering amplitudes and interferences in perturbative QCD
A quantum circuit encodes QCD colour factors and diagram interferences in a measurement probability, with permuted identical-particle diagrams generated by swap sorting networks.
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Continuous-variable photonic quantum extreme learning machines for fast collider-data selection
A Gaussian photonic QELM with displacement encoding and quadrature/photon-number readout produces polynomial features that, under a linear readout, match or beat small MLPs on top-jet and Higgs classification.
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Quantum algorithms for the simulation of QCD processes in the perturbative regime
Quantum circuits for the colour algebra of perturbative QCD are presented and validated on a simulator, matching analytic colour factors for example diagrams.
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