To enhance the discovery potential of the Large Hadron Collider (LHC) at CERN in Geneva and improve the precision of Standard Model measurements, the High Luminosity LHC (HL-LHC) Project was initiated in 2010 to extend its operation by another decade and increase its luminosity by approximately tenfold beyond the design value.
In this context, the scope of applications for Machine...
Models of physical systems simulated on HPC clusters often produce large amounts of valuable data that need to be efficiently managed both in the scope of research projects and continuously afterwards to derive the most benefit for scientific advancement. Database management systems (DBMS) and metadata management can facilitate transparency and reproducibility, but are rarely used in...
Quantum computing has gained significant attention in recent years, with numerous algorithms and applications under active development. Limited by the current quantum technology, quantum noise and readout error have become critical issues. Various methods have been proposed to address readout error through error mitigation techniques, typically involving post-processing of measurement data....
Quantum computing is emerging as a groundbreaking approach for solving complex optimization problems, offering new opportunities in fields requiring both computational efficiency and innovative solution discovery. Quantum annealing, a specialized quantum computing paradigm, leverages quantum adiabatic theorem to efficiently find the global minimum of a problem's cost function, making it a...
Tracking imaging systems have progressed from manual examination to utilizing contemporary photodetectors, like SiPM arrays and CMOS cameras, to convert scintillation light into digital data and obtain physical information. This study presents RIPTIDE, a novel recoil-proton track imaging system designed for fast neutron detection, with an emphasis on the use of deep-learning methods. RIPTIDE...
