![]() ![]() Nevertheless, including a projected quantum kernel, able to reduce the expressivity of the traditional fidelity quantum, a clever optimization of the parameters revealed a potential window of quantum advantage where quantum kernel is able to better classify the Higgs boson events and surpass the classical ML model. According to the adopted quantum encoding, the Higgs dataset has been proved to be low dimensional in the quantum feature space. We observe, in a vast parameter region, that the used classical rbf kernel model overtakes the performances of the devised quantum kernels. ![]() Hence, we can exclude those areas where we do not expect any advantage in using quantum models and guide our study through the best parameter configurations. ![]() We assess the performance of a quantum and classic support vector machine for a High Energy Physics dataset: the Higgs tt ̄H(b ̄b) decay dataset, grounding our study in a new theoretical framework based on three metrics: the geometry between the classical and quantum learning spaces, the dimensionality of the feature space, and the complexity of the ML models. The detailed Monte Carlo study of the proposed setup and the background estimate show that the goal of the proposed search is feasible.A new theoretical framework in Quantum Machine Learning (QML) allows to compare the performances of Quantum and Classical ML models on supervised learning tasks. This method provides independent confirmation of the NA64 published results, validating the tracking procedure. A dedicated analysis of the available experimental data making use of the trackers information is presented. To reach this goal an optimization of the X 17 production target, as well as an efficient and accurate reconstruction of two close decay tracks, is required. (2017) Examination of h(x) Real Field of Higgs Boson as Originating in Pre-Planckian Space-Time Early Universe. If a signal-like event is detected, an unambiguous observation is achieved by reconstructing the invariant mass of the X 17 decay with the proposed method. Here, we present a new technique that could be implemented in NA64 aiming to improve the sensitivity and to cover the remaining X 17 parameter space. So far, the search for the decay X 17 → e + e - with the NA64 experiment at the CERN SPS gave negative results. These observations could be explained by the existence of a new vector X 17 boson. Recently, the ATOMKI experiment has reported new evidence for the excess of e + e - events with a mass ∼ 17 MeV in the nuclear transitions of 4 He, that they previously observed in measurements with 8 Be.
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