The amount of data produced and processed every day is increasing exponentially, and reaching unthinkable levels. This amount of data has to be stored and processed by something. While the conventional computers are reaching their limits in data storage and processing, and this dictates the need for a nano sized transistors.Quantum computers can provide genius solution for that issue. Quantum computing is an emerging interdisciplinary field in information technology. This technology acquired its name, because it is based on quantum physics. In this article we present a new perspectiveonthe progress in the research efforts on quantum computing technology and their likelihood to replace the conventional computers and change the way we manipulate data and information. Also we claim this might be the first article in the region tackling quantum technology.
The amount of data produced and processed every day is increasing exponentially, and reaching unthinkable levels. This amount of data has to be stored and processed by something. While the conventional computers are reaching their limits in data storage and processing, and this dictates the need for a nano sized transistors.Quantum computers can provide genius solution for that issue. Quantum computing is an emerging interdisciplinary field in information technology. This technology acquired its name, because it is based on quantum physics. In this article we present a new perspectiveonthe progress in the research efforts on quantum computing technology and their likelihood to replace the conventional computers and change the way we manipulate data and information. Also we claim this might be the first article in the region tackling quantum technology.
There are signs that we are approaching a technical revolution that might take humankind’s computational capabilities to a new level. Quantum Computing leverages the principles of quantum mechanics, enabling the computational power to solve specific problems currently intractable for classical computers (e.g., cracking cryptographic keys). Since we are getting to a point where we can no longer build smaller, more powerful, more efficient devices with conventional methodologies, we need to think of new ways for technological progress. The manufacturing of microchips is reaching its limits in the use of traditional architectures. Hence, new and more advanced technologies need to address the challenges of increasing energy consumption and data processing. Connectivity, scalable architectures and concepts like Cloud Computing and Software-as-a-Service have already helped to scale computational-intense applications in the last years and have attracted the interest of IS researchers (e.g., Benlian et al. 2009 ; Benlian et al. 2018 ; Messerschmidt and Hinz 2013 ). Looking ahead to the next generation, computing will comprise technologies that enable high-performance applications far beyond today’s possibilities. One prominent example with a disruptive potential is Quantum Computing. While there are abundant open questions and directions for further developments, researchers in this area have made substantial progress in the last decade, indicating that, after medical imaging, lasers, and superconductors, another quantum-technological innovation might be approaching. We, therefore, intend to provide an overview of the current state of Quantum Computing research and outline how this new technology might stimulate research in Information Systems.
Quantum theory and quantum computing in recent years, has raised more and more increasing interest within the scientific community because of various reasons. First, the highly interdisciplinary nature of the subject which involves diverse topics such as, on the theoretical side, information theory and foundational issues of quantum mechanics and on the experimental side, the physics of quantum, optical, atomic and solid state systems. Secondly, the field is extremely promising for revolutionary technological implications in the near future. It is now perfectly clear that one can use quantum mechanics to process and transmit information in a way which does not have a classical analogue, and that using quantum techniques one can implement fully secure cryptographic systems. Recent breakthroughs, such as quantum teleportation, have led to extremely rapid progresses in a fascinating new field and, as a consequence, have attracted the interest of many scientists from varied disciplines. The purpose of this article is to provide a comprehensive overview about the deep involvement of quantum theory in quantum computation to young researchers and newcomers in the field.
The advent of quantum computing represents a significant leap in computational power, bringing forth new possibilities in the field of data security. Quantum computers, leveraging quantum bits (qubits), can process vast amounts of data far more efficiently than classical computers. This article explores the recent advancements in quantum computing and their implications for enhancing data security. Key areas of focus include quantum key distribution (QKD), quantum encryption algorithms, and the potential of quantum computers to crack traditional encryption systems. Furthermore, the article discusses the impact of quantum computing on cryptography, highlighting both the challenges and the opportunities it presents. The transition to quantum-safe encryption mechanisms is critical to maintaining security in the face of quantum computational threats. The article also evaluates ongoing research efforts and the future trajectory of quantum security technologies.
Quantum computing as emerging technology raises high expectations to accelerate complicated calculations, superseding capabilities of presently available supercomputers and to provide a solution to the ever-increasing challenge of processing big amount of data. Besides theoretical promises, quantum computers have successfully been realized in experimental settings during the past few years, and can now also be accessed commercially. Given this availability of quantum computers, their application potential can be scrutinized. Promised to lead to disruptive changes in addressing and solving problems from the domains of simulation, optimization and machine learning, quantum computers have been researched in context of many application scenarios in industrial and academic setting in the recent years. However, it turns out that currently available quantum computers are still to small in size and limited in quality to fulfill the high hopes set in them at the moment. This review reflects on the current state of the technology coming from the perspective of the application, and indicates the developments required on hardware, software and algorithmic side to eventually make quantum computing beneficial for applications.
Q uantum mechanics has had an enormous technological and societal impact.To grasp this point, it is sufficient to cite the invention of the transistor, perhaps the most remarkable among the countless other applications of quantum mechanics.It is also easy to see the enormous impact of computers on everyday life.The importance of computers is such that it is appropriate to say that we are now living in the information age.This information revolution became possible thanks to the invention of the tran sistor, that is, thanks to the synergy between computer science and quantum physics.Today this synergy offers completely new opportunities and promises exciting advances in both funda mental science and technological application.We are referring here to the fact that quantum mechanics can be used to process and transmit information [1,2].Miniaturization provides us with an intuitive way of under standing why, in the near future, quantum laws will become important for computation.The electronics industry for com puters grows hand-in-hand with the decrease in size of integrated circuits.This miniaturization is necessary to increase computa tional power, that is, the number of floating-point operations per second (flops) a computer can perform.In the 1950's, electronic computers based on vacuum-tube technology were capable of performing approximately 103 floating-point operations per second, while nowadays there exist supercomputers whose power is greater than lOteraflops (1013 flops).As we have remarked, this enormous growth of computational power has been made possi ble owing to progress in m in ia tu riz a tio n , w hich m ay be quantified empirically in Moore's law.This law is the result of a remarkable observation made by Gordon Moore in 1965: the number of transistors on a single integrated-circuit chip doubles approximately every 18 24 months.This exponential growth has not yet saturated and Moore's law is still valid.At the present time the limit is approximately 108 transistors per chip and the typical size of circuit components is of the order of 100 nanometres.Extrapolating Moore's law, one would estimate that around the year 2020 we shall reach the atomic size for storing a single bit of inform atio n .At th a t p o in t, q u a n tu m effects will becom e unavoidably dominant.One should be aware that, besides quantum effects, other fac tors could bring Moore's law to an end.In the first place, there are economic considerations.Indeed, the cost of building fabri cation facilities to m an u factu re chips has also increased exponentially with time.Nevertheless, it is important to under stand the ultimate limitations set by quantum mechanics.Even though we might overcome economic barriers by means of tech nological breakthroughs, quantum physics sets fundamental limitations on the size of the circuit components.The first ques tion under debate is whether it would be more convenient to push References
We use computers, mobile phones, and numerous other devices for computation and storage purposes. All these devices use some specific hardware to process data and give us a meaningful outcome in our everyday activities. Classical computer which we use in our daily lives are probabilistic, deterministic and logical. These devices help us tackle many tasks such as education, medical issues, banking and many others. As the data increases in our world the shortage of storage capacity and computation of such a massive data is increasing day by day. We therefore need a new device that can deal with the problem and deliver outcomes that are satisfactory. Quantum Computers are a new, forthcoming technology that can help with these challenges. These computers can store and process information that a classical computer cannot, by using entangled quantum bits (qubits). The power of computation and storage grows exponentially as qubit entanglement rises. This could introduce us to a new realm of powerful computation and alter how we handle huge datasets.