Quantum computing hardware for HEP algorithms and sensing

Quantum information science harnesses the principles of quantum mechanics to realize computational algorithms with complexities vastly intractable by current computer platforms. This paper aims to explore the application of quantum computing hardware in high energy physics (HEP) algorithms and sensing. The methodology encompasses a review of emerging quantum technologies and their integration into HEP computational frameworks. Results indicate that the use of superconducting qubits, particularly in the context of fluxon-parity protection, enhances the robustness and efficiency of quantum computations necessary for HEP applications. These findings suggest a significant advancement in the potential of quantum hardware to tackle complex problems traditionally deemed unsolvable by classical computing methods. The implication of this research extends to improved performance in HEP experiments, paving the way for future innovations in the field of quantum information science.