Advances in Quantum Science I

Yazhen Wang

Quantum computation and quantum information have attracted considerable attention on multiple frontiers of scientific fields ranging from physics to chemistry and engineering, as well as from computer science to mathematics and statistics. Data science combines statistical methods, computational algorithms, and domain science information to extract knowledge and insights from big data, and to solve complex real-world problems. While it is well-known that quantum computation has the potential to revolutionize data science, much less has been said about the potential of data science to advance quantum computation. Yet because the stochasticity of quantum physics renders quantum computation random, data science can play an important role in the development of quantum computation and quantum information. This article gives an overview of quantum computation and promotes interplay between quantum science and data science. Overall, it advocates for the development of quantum data science for advancing quantum computation and quantum information.

Collective

K P Uvarajan

Quantum computing represents a groundbreaking advancement with significant implications for engineering and science. This article delves into the fundamental principles of quantum computing and highlights major technological breakthroughs driving its progress. It examines the influence of quantum computing on engineering, emphasizing its potential to address complex problems with unmatched speed and efficiency. In the realm of scientific research, quantum computing offers transformative opportunities in areas such as materials science, cryptography, and drug discovery. Despite its potential, quantum computing faces considerable challenges, including hardware stability, high error rates, and scalability issues. The conclusion discusses future prospects, underscoring the importance of ongoing research and collaboration to overcome these challenges and fully leverage the potential of quantum computing for advancements in engineering and science.

Andrei Yu. Khrennikov

Linda Nhon, Theodore G. Goodson III

Advancements in the field of Quantum Information Science (QIS) are expected to produce groundbreaking technologies in computing, sensing, and communications. These developments could have an impact on the economy and workforce of the United States. In order to achieve this vision and sustain U.S. leadership in QIS, however, a robust research enterprise needs to be established. Presently, QIS has reached an inflection point for new discoveries; searching for novel quantum molecular materials that are operational, practical, and efficient is now the new frontier. Since chemistry is the study of manipulating molecular properties across different lengths and time-scales, it has a tremendous opportunity to take a leading role in this untapped domain. Blending QIS and chemistry together will accelerate progress in designing new quantum molecular materials, developing novel measurement tools and techniques, and establishing new quantum computing standards. A recent National Academies of Sciences, Engineering, and Medicine (NASEM) report, Advancing Chemistry and Quantum Information Science, points to fundamental research areas at the interface of these two disciplines that should be pursued in the near-term. Here, a brief overview of these research directions as well as collaboration and infrastructure needs identified from the report are presented.

Ion I. Cotǎescu