Role of Quantum Chemistry in Computational Science

Vasileios Armaos, Dimitrios A. Badounas, Paraskevas Deligiannis +1 more

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.

Dr. John Smith

Quantum computing is emerging as a revolutionary technology with the potential to significantly enhance scientific research across various disciplines. By leveraging the principles of quantum mechanics, quantum computers can perform computations that are infeasible for classical computers. This article explores the fundamental role of quantum computing in modern scientific research, examining its applications in fields such as material science, quantum chemistry, cryptography, and artificial intelligence. The article also delves into the challenges and opportunities presented by quantum computing and its potential to solve problems that are beyond the reach of traditional computational methods.

Taku Onishi

Artur Michalak

Tanya Zelevinsky, Artur F. Izmaylov, Anastassia N. Alexandrova

I n this Physical Chemistry of Quantum Information Science (QIS) Virtual Special Issue, we delve into the research areas that have attracted significant attention and promise to reshape the landscape of quantum information science with a focus on molecular and materials systems.The topics explored here encompass theoretical and computational pursuits as well as cutting-edge experiments.The issue was inspired by recent innovations and discoveries in this active research field.Control of molecular quantum states has improved dramatically thanks to advances in producing cold molecular beams and trapped gas samples. 1 Manipulation of individual molecules in optical tweezers and of many-body interactions in various optical lattice configurations has opened exciting possibilities. 2 Likewise, control of quantum states has been achieved or proposed in a variety of materials, from defects in bulk materials to thin films and quantum dots and even large molecules such as dyes and fullerenes.The breadth of quantum technologies to which these molecular and materials platforms have the potential to cater is vast, including areas of sensing, computing, quantum optics, and beyond.Specifically, quantum computing may be poised to augment classical computations and offer solutions for challenging chemical problems, while quantum sensors can exhibit unprecedented sensitivity.These possibilities go beyond what is attainable with today's limited number of materials platforms, illustrating the central role of chemistry in the field of QIS.In this Virtual Special Issue, we explore quantum information science where molecular systems take center stage.We investigate the topic of quantum algorithms tailored for quantum chemistry, molecular dynamics, and statistical mechanics.This includes a quest to enhance the accuracy of classical computations for difficult chemistry problems involving strongly correlated systems in the works by A.