RT Dissertation/Thesis
T1 Distributed quantum computing integrated into high-performance computing environments
A1 Cardama Santiago, Francisco Javier
K1 quantum computing
K1 high-performance computing
K1 distributed quantum computing
K1 quantum network
K1 quantum software
AB High-Performance Computing (HPC) has historically served as the primary engine for scientific advancement, enabling complex simulations ranging from meteorological prediction to protein folding or drug discovery. For decades, the exponential growth in computational power was sustained by the empirical axioms of Moore’s Law and Dennard scaling. However, in the last decade, these principles have begun to exhibit unambiguous signs of saturation. The fundamental physical, thermodynamic, and quantum limitations of silicon transistors have compelled the industry to abandon frequency scaling in favor of massive parallelism and architectural heterogeneity. Consequently, contemporary top-tier supercomputers are no longer homogeneous machines, but complex clusters that integrate multicore Central Processing Units (CPU) with specialized accelerators such as Graphics Processing Units (GPU) or FPGAs.
YR 2026
FD 2026
LK https://hdl.handle.net/10347/46765
UL https://hdl.handle.net/10347/46765
LA eng
DS Minerva
RD 18 abr 2026