Quantum computing has witnessed a remarkable rise in a century from the theories of Quantum Mechanics to solving real-world problems inside and outside the labs. Experimental quantum computation power has been tested to outperform classical computational power by a wide margin [1]. The work presented here highlights the experimental and commercial state-of-the-art applications of quantum computing from 2016 to 2025. The gathered data includes domains of usage, methods, tools, initiatives, inter-governmental cooperation, quantified results and limitations. In recent times, quantum computing has found applications in diverse areas, including agriculture, defense, energy, finance, healthcare, infrastructure, manufacturing and technology. The purpose of this study is to identify the first of its kind use cases of quantum computers and analyze the outcomes.
Quantum computing has witnessed a remarkable rise in a century from the theories of Quantum Mechanics to solving real-world problems inside and outside the labs. Experimental quantum computation power has been tested to outperform classical computational power by a wide margin [1]. The work presented here highlights the experimental and commercial state-of-the-art applications of quantum computing from 2016 to 2025. The gathered data includes domains of usage, methods, tools, initiatives, inter-governmental cooperation, quantified results and limitations. In recent times, quantum computing has found applications in diverse areas, including agriculture, defense, energy, finance, healthcare, infrastructure, manufacturing and technology. The purpose of this study is to identify the first of its kind use cases of quantum computers and analyze the outcomes.
Quantum Computing Advancement: Applications, Initiatives, Challenges and Ethical Concerns up to 2025 is a review paper prepared by Farial Mahmod Tishan. The principal objective of this study is to present a comprehensive review of the current state of quantum computing’s ground-breaking applications. Secondly, it explores government initiatives and inter-governmental cooperations around the world for research and workforce development. Finally, the paper underlines the current challenges, limitations and ethical concerns regarding the misuse of quantum computers.
Quantum computing is a transformative paradigm based on the principles of quantum mechanics such as superposition and entanglement to outperform classical computers in solving complex problems. This paper presents a comprehensive overview of quantum computing, detailing its foundational concepts, advancements, applications, platforms, limitations, and future scope. Key research contributions from organizations such as IBM, AWS, and Microsoft, as well as government initiatives, are discussed. Applications are explored across cryptography, pharmaceuticals, healthcare, finance, manufacturing, simulation, and AI. Quantum platforms such as Qiskit, Azure Quantum, and D-Wave Ocean SDK are also reviewed. Although still in its development stages and facing challenges, quantum computing faces difficulties related to error correction and the environment may entirely change modern computing. The article concludes by stressing the need for continuous research, education, strategic planning, and development to utilize the disruptive abilities of quantum technologies.
Quantum computing has evolved from a largely theoretical discipline into a field of growing interest for commercial and industrial applications. Recent advances in quantum hardware, algorithms, and cloud-based access have enabled early experimentation outside academic environments, raising questions about its potential impact on real-world decision-making and operational problems. This paper provides an overview of the current state of quantum computing with a focus on its emerging relevance in commercial contexts. It examines the categories of problems that have attracted attention from industry, particularly those involving high combinatorial complexity such as optimization, scheduling, logistics, and resource allocation. The analysis also reviews the global landscape of companies and initiatives engaged in quantum computing, highlighting different technological approaches, maturity levels, and regional characteristics. In parallel, the paper discusses the principal challenges and limitations that constrain widespread adoption, including hardware immaturity, algorithmic readiness, cost factors, and organizational requirements. By considering both opportunities and risks, this study aims to present a balanced and realistic perspective on the role quantum computing may play in business environments. The objective is to clarify the current position of quantum computing within the broader technological landscape and to support informed interpretation of its potential, limitations, and future trajectory in commercial applications.
Advancements in computer technologies have been evolving in order to provide new services or to improve recent computing performance. Applications of computer technologies to several real-world domains are becoming more realistic and efficient. Two challenges are taken into consideration when applying such technologies including more complicated user requirements and exponential growth of data. In the real world, which is driven by business, achieving user requirements is one promising way of yielding competitive advantages. Moreover, time constraints are also crucial for corporate users. Apart from structured data, unstructured data have been significantly generated via several platforms. Such aspects make data processing more demanding. Quantum technology, which is instantiated in physics, has been utilized in various fields including computer science. Even the real quantum computer is still in its early development, but other concepts such as quantum information and quantum computing are making progress. Furthermore, some quantum-based algorithms have been analytically proven to have higher performance compared to the traditional ones. According to such important milestones, quantum computing has been regarded as one of the key infrastructures of future computing. This paper aims to focus on the main aspects of quantum computing including its backgrounds and recent advancement to provide a clearer picture. Its recent applications to intelligent system enhancement, cybersecurity and cryptography empowerment, and finance are addressed. Several key ideas, and opportunities of quantum computing utilization are also outlined based upon systematic reviews of existing works and case studies. Moreover, comparative analysis between classical and quantum computing in terms of core principles, computational efficiency, and practical feasibility is given. Better understanding and proper preparation of applying quantum computing are thus achieved.
Abstract Quantum computing hardware and software have made enormous strides over the last years1. Questions around quantum computing’s impact on research and society have changed from “if” to “when/how”. The 2020s have been described as the “quantum decade”, and the first production solutions that drive scientific and business value are expected to become available over the next years. Medicine, including fields in healthcare and life sciences, has seen a flurry of quantum-related activities and experiments in the last few years (although medicine and quantum theory have arguably been entangled ever since Schrödinger’s cat2). The initial focus was on biochemical and computational biology problems3,4,5,6,7,8; recently, however, clinical and medical quantum solutions have drawn increasing interest. The rapid emergence of quantum computing in health and medicine necessitates a mapping of the landscape. In this review, clinical and medical proof-of-concept quantum computing applications are outlined and put into perspective. These consist of over 40 experimental and theoretical studies from the last few years. The use case areas span genomics, clinical research and discovery, diagnostics, and treatments and interventions. Quantum machine learning (QML) in particular has rapidly evolved and shown to be competitive with classical benchmarks in recent medical research. Near-term QML algorithms, for instance, quantum support vector classifiers and quantum neural networks, have been trained with diverse clinical and real-world data sets. This includes studies in generating new molecular entities as drug candidates, diagnosing based on medical image classification, predicting patient persistence, forecasting treatment effectiveness, and tailoring radiotherapy. The use cases and the applied algorithms are summarized. In addition, this review provides an outlook on medicine in the quantum era. There has been much discussion about healthcare’s journey towards precision medicine and the quadruple aim (better health, lower costs, enhanced patient experiences, and improved healthcare practitioner work lives)9. While a range of technical and ethical challenges remain, quantum computing is poised to become a key enabler for advancing towards the holy grail: keeping people healthy through proactive medical care and guidance at the level of an individual.
Quantum computing, leveraging the principles of quantum mechanics, is emerging as one of the most transformative technologies of the 21st century, promising computational power that can tackle problems once considered unsolvable. Unlike classical computing, which processes data in bits, quantum computing operates using quantum bits or ‘qubits’ that exploit quantum superposition and entanglement, enabling vastly superior processing power. This paper examines the challenges and opportunities presented by quantum computing, focusing on its potential to transform various industries such as healthcare, finance, education, defence, utilities and more. Additionally, the paper explores its environmental implications and impact on sustainability. A literature survey of key research contributions and a discussion of commercial timelines highlight the current state and future of this revolutionary technology. While quantum computing presents immense opportunities, its technical and economic challenges must be overcome for it to reach widespread commercial adoption. The paper concludes with an exploration of the road ahead for this nascent technology. Despite significant challenges, quantum computing offers unprecedented opportunities to transform multiple sectors, making it an essential area for ongoing research.