Quantum Computing Inc.

The High-Performance Computing Landscape There is a large and growing demand for ever-increasing computational performance in information processing. The recent emergence of artificial intelligence ( AI ), large language models ( LLMs ), and machine learning ( ML ) algorithms has added to the need for efficient processing of vast volumes of data. Classical computers, or the computers that are currently used in home and office settings, that use silicon microprocessors are understood to have performance limitations in solving certain classes of computational problems, in particular, large-scale optimization problems. Optimization deals with finding the best solution to a problem according to a defined criteria from a set of possible solutions. Solving large-scale optimization problems requires complex calculations that cannot currently be performed in a reasonable amount of time using classical computing systems for problem sizes relevant to many industrial and real-world applications. There is a growing belief among some computer science experts that quantum computing will solve problems faster than traditional computers and may offer a potential solution to the hard limits now being approached by classical computers. In addition to new computational methodologies using quantum phenomena, there is a corresponding emergence of new materials in microprocessors that may be able to overcome some of the limitations of the silicon-based processors used in classical computers. One promising area is in the use of photonics, which uses particles of light for computation.