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.
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.
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.
As we begin to reach the limits of classical computing, quantum computing has emerged as a technology that has captured the imagination of the scientific world. While for many years, the ability to execute quantum algorithms was only a theoretical possibility, recent advances in hardware mean that quantum computing devices now exist that can carry out quantum computation on a limited scale. Thus, it is now a real possibility, and of central importance at this time, to assess the potential impact of quantum computers on real problems of interest. One of the earliest and most compelling applications for quantum computers is Feynman's idea of simulating quantum systems with many degrees of freedom. Such systems are found across chemistry, physics, and materials science. The particular way in which quantum computing extends classical computing means that one cannot expect arbitrary simulations to be sped up by a quantum computer, thus one must carefully identify areas where quantum advantage may be achieved. In this review, we briefly describe central problems in chemistry and materials science, in areas of electronic structure, quantum statistical mechanics, and quantum dynamics that are of potential interest for solution on a quantum computer. We then take a detailed snapshot of current progress in quantum algorithms for ground-state, dynamics, and thermal-state simulation and analyze their strengths and weaknesses for future developments.
We discuss the goals and the need for quantum information science (QIS) in chemistry. It is important to identify concretely how QIS matters to chemistry, and we articulate some of the most pressing and interesting research questions at the interface between chemistry and QIS, that is, "chemistry-centric" research questions relevant to QIS. We propose in what ways and in what new directions the field should innovate, in particular where a chemical perspective is essential. Examples of recent research in chemistry that inspire scrutiny from a QIS perspective are provided, and we conclude with a wish list of open research problems.
The second quantum revolution hinges on the creation of materials that unite atomic structural precision with electronic and structural tunability. A molecular approach to quantum information science (QIS) promises to enable the bottom-up creation of quantum systems. Within the broad reach of QIS, which spans fields ranging from quantum computation to quantum communication, we will focus on quantum sensing. Quantum sensing harnesses quantum control to interrogate the world around us. A broadly applicable class of quantum sensors would feature adaptable environmental compatibility, control over distance from the target analyte, and a tunable energy range of interaction. Molecules enable customizable "designer" quantum sensors with tunable functionality and compatibility across a range of environments. These capabilities offer the potential to bring unmatched sensitivity and spatial resolution to address a wide range of sensing tasks from the characterization of dynamic biological processes to the detection of emergent phenomena in condensed matter. In this Outlook, we outline the concepts and design criteria central to quantum sensors and look toward the next generation of designer quantum sensors based on new classes of molecular sensors.
Quantum chemistry has experienced transformative advancements from 2010 to 2024, propelled by developments in quantum computing, machine learning, and computational methodologies. These innovations have enabled precise simulations of complex molecular systems, fostering significant progress in materials science, drug discovery, and energy research. The integration of quantum computing has introduced algorithms like the Variational Quantum Eigensolver (VQE), facilitating the calculation of molecular ground-state energies. Machine learning techniques have enhanced predictive modeling, optimizing chemical reactions and material properties. Additionally, the development of user-friendly quantum chemistry software has democratized access to sophisticated computational tools. Despite these advancements, challenges such as scalability, error mitigation in quantum computations, and the need for high-quality data persist. Addressing these issues is crucial for the continued evolution of quantum chemistry, promising transformative impacts on technology and society.
Modeling molecular dynamics (MD) using a comprehensive quantum framework has been a long-standing challenge in the field of computational chemistry. In this chapter, we give a general overview of the state-of-the-art in research related to the study of molecular dynamics by quantum computing, describe the theoretical methods developed to create molecular results such as potential energy (PEs), and discuss the applications of cold and ultracold molecules expected in the near future. Our discussion focuses on the specific scientific objectives that motivate most quantum computer revolutions. Furthermore, the research field of cold molecules brings together two of three main thrusts of modern atomic, molecular, and optical physics (AMO): the ultracold and the ultraprecise. It also brings among researchers from a variety of fields, including AMO physics, chemistry, quantum information science and quantum simulations, nuclear physics, and astrophysics.