Scientific and technological progress has repeatedly revolutionized society, from the invention of steam-power-driven machines that brought forth the Industrial Age to the development of the transistor that sparked the Information Age. As societies and economies become more connected through global communication networks and reliant on computational power, the demand for faster, more efficient, and secure information capabilities escalates commensurately. Enter Quantum Information Science (QIS) (QIS), a field founded on the physical laws of quantum mechanics that introduce extraordinary different and powerful paradigms for generating, manipulating, measuring, securing, and processing information. While many quantum effects are generally well understood and form the basis of widely exploited current technology, QIS is still a richly underexplored research area. This overview provides a basic research perspective on the foundational resources that empower QIS, the main challenges in exploiting QIS for practical applications, and the need for input from researchers outside quantum physics, such as those from the aerospace community, to stimulate new ideas and advance progress in QIS. This paper introduces key QIS concepts and continues with discussions on each of the following subareas: sensing, computation and algorithms, networks, and information security. The paper concludes with an outlook of the field as it relates to aerospace.
Scientific and technological progress has repeatedly revolutionized society, from the invention of steam-power-driven machines that brought forth the Industrial Age to the development of the transistor that sparked the Information Age. As societies and economies become more connected through global communication networks and reliant on computational power, the demand for faster, more efficient, and secure information capabilities escalates commensurately. Enter Quantum Information Science (QIS) (QIS), a field founded on the physical laws of quantum mechanics that introduce extraordinary different and powerful paradigms for generating, manipulating, measuring, securing, and processing information. While many quantum effects are generally well understood and form the basis of widely exploited current technology, QIS is still a richly underexplored research area. This overview provides a basic research perspective on the foundational resources that empower QIS, the main challenges in exploiting QIS for practical applications, and the need for input from researchers outside quantum physics, such as those from the aerospace community, to stimulate new ideas and advance progress in QIS. This paper introduces key QIS concepts and continues with discussions on each of the following subareas: sensing, computation and algorithms, networks, and information security. The paper concludes with an outlook of the field as it relates to aerospace.
The second quantum revolution has been built on a foundation of fundamental research at the intersection of physics and information science, giving rise to the discipline we now call quantum information science (QIS).The quest for new knowledge and understanding drove the development of new experimental tools and rigorous theory, which defined the road map for second-wave quantum technologies, including quantum computers, quantum-enhanced sensors, and communication systems.As technology has matured, the race to develop and commercialize near-term applications has accelerated.In the current regime of Noisy Intermediate Scale Quantum (NISQ) devices [J.Preskill, Quantum 2, 79 ( 2018)], the continued necessity of basic research is manifest.Under what conditions can we truly harness quantum complexity and what are its implications for potential useful applications?These questions remain largely unanswered and as the QIS industry ramps up, a continuous feedback between basic science and technology is essential.In this Perspective, I review how curiosity-driven research has led to radical new technologies and why the quest for basic understanding is essential for further progress.
In order to provide novel techniques for processing, storing, and transmitting information, the multidisciplinary field of quantum information science (QIS) integrates ideas from quantum physics [ 4 ] with information science. However, due to a number of events, including Peter Shor’s invention of quantum algorithms and the rise in interest in quantum computing, the history of QIS started to expand quickly in the early to middle 1990s. Peter Shor, a physicist and mathematician, developed the first quantum algorithm that could factor big numbers exponentially more rapidly than any classical algorithm in 1994. This finding triggered strong interest in quantum computing’s potential to tackle issues that are currently unsolvable for classical computers. Since then, QIS has advanced due to the development of novel quantum algorithms and enhancements in the hardware used for quantum computing. Understanding complex quantum phenomena like entanglement and superposition and developing novel strategies for utilizing them for information processing and communication are the core goals of QIS. Quantum bits (qubits) can exist in superpositions of 0 and 1 simultaneously, which enables far more efficient computation than classical bits, which can only be in one state or the other at a given time. Superposition is a key concept in quantum computing. In addition to superposition, entanglement, coherence, and quantum algorithms are other important QIS concepts. Entanglement is a key feature of quantum mechanics and has been observed experimentally in a wide range of physical systems, including photons, atoms, and superconducting qubits. Two particles can get entangled with one another through a phenomenon called entanglement in which their quantum states exhibit a high correlation. This indicates that even if two particles are separated by a considerable distance, modifying the state of one can change the state of the other. No matter how far away two separate particles are from one another when they are entangled, measuring the state of one particle immediately gives the state of another particle. It plays a central role in many quantum technologies, including quantum computing for solving complex problems that take classical computers a long time to solve, quantum cryptography for secure communications, quantum sensing for quantum properties of particles to enable more precise measurements, and quantum networking to improve communication and processing speed over both short and long distances. Quantum metrology methods use the principles of quantum mechanics to improve the accuracy of measurements in fields like gravity sensors, timekeeping, and frequency standards. Some of the benefits of QIS are enhanced computing power, improved communication, advanced cryptography, more precise scientific measurements, and better logistics optimization.
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.
Quantum information has dramatically changed information science and technology, looking at the quantum nature of the information carrier as a resource for building new information protocols, designing radically new communication and computation algorithms, and ultra-sensitive measurements in metrology, with a wealth of applications. From a fundamental perspective, this new discipline has led us to regard quantum theory itself as a special theory of information, and has opened routes for exploring solutions to the tension with general relativity, based, for example, on the holographic principle, on non-causal variations of the theory, or else on the powerful algorithm of the quantum cellular automaton, which has revealed new routes for exploring quantum fields theory, both as a new microscopic mechanism on the fundamental side, and as a tool for efficient physical quantum simulations for practical purposes. In this golden age of foundations, an astonishing number of new ideas, frameworks, and results, spawned by the quantum information theory experience, have revolutionized the way we think about the subject, with a new research community emerging worldwide, including scientists from computer science and mathematics.
Quantum information science (QIS) explores how information can be encoded, processed, and transmitted using the principles of quantum mechanics. Quantum technologies including quantum computing, quantum communication, and quantum sensing have experienced rapid advancements over the past decade. This review highlights foundational concepts, major technological platforms, applications, and current research trends. It also examines challenges in scalability, error correction, and implementation that shape the pathway toward practical quantum systems.
Quantum Information Systems (QIS) have emerged as a transformative paradigm, integrating the principles of quantum mechanics with advanced computational and communication technologies to address complex problems beyond the capabilities of classical systems. This review provides a comprehensive synthesis of current developments, beginning with the foundational principles that define QIS, including its theoretical underpinnings, quantum state representations, and computational frameworks. It then examines advances in quantum computing for QIS, with a focus on hardware architectures, the design and optimization of core algorithms, and the computational advantages over classical approaches. The discussion extends to quantum machine learning for QIS, exploring hybrid quantum–classical learning models, quantum data encoding techniques, and optimization strategies. Finally, it surveys diverse application domains, such as finance, industrial information integration, energy systems, healthcare, and intelligent transportation. In addition, the paper highlights pressing technological, data-centric, algorithmic, and ecosystem-level challenges, and discusses future trajectories shaped by innovations such as quantum blockchain, quantum artificial intelligence, and decentralized QIS. Through a structured and integrative analysis, this work aims to provide a roadmap for researchers and practitioners navigating the rapidly evolving QIS landscape.