Many researchers and laboratories have been engaged for years in a competition for a single objective, which is the quantum computer. Recently, Google has announced that it has achieved quantum supremacy with its quantum computer "Sycamore". According to Google, such a machine can make an astronomical quantity of calculations considerably faster than any conventional computer. A technology which could be a real revolution in several domains, Computing, Experimentation Technics, Artificial Intelligence, Medical, Chemical, Banking...etc. But, the main question is: when can it be a reality? In the present paper, we will explore quantum phenomena and explain principles of quantum computer especially the qubit (quantum bit), to finally explain whether or not the quantum computer is a reality and could it be a danger for the information systems? We will explore the subject by presenting existing works, and by defining the framework of laws to achieve a quantum computer that may solves all our possible problems.
Many researchers and laboratories have been engaged for years in a competition for a single objective, which is the quantum computer. Recently, Google has announced that it has achieved quantum supremacy with its quantum computer "Sycamore". According to Google, such a machine can make an astronomical quantity of calculations considerably faster than any conventional computer. A technology which could be a real revolution in several domains, Computing, Experimentation Technics, Artificial Intelligence, Medical, Chemical, Banking...etc. But, the main question is: when can it be a reality? In the present paper, we will explore quantum phenomena and explain principles of quantum computer especially the qubit (quantum bit), to finally explain whether or not the quantum computer is a reality and could it be a danger for the information systems? We will explore the subject by presenting existing works, and by defining the framework of laws to achieve a quantum computer that may solves all our possible problems.
Quantum computing represents a revolutionary leap in computational power, leveraging the principles of quantum mechanics to process information in fundamentally new ways. Unlike classical computers, which use bits to represent data as 0s or 1s, quantum computers use quantum bits or qubits, enabling the phenomena of superposition and entanglement to perform complex calculations more efficiently (Nielsen & Chuang, 2010). This article explores the basic principles of quantum computing, the different models and algorithms that have been developed, and the current state of quantum hardware. The power of quantum computing lies in its ability to solve certain types of problems exponentially faster than classical computers. For instance, Shor's algorithm can factorize large integers in polynomial time, posing a significant threat to classical encryption methods (Shor, 1997). Similarly, Grover's algorithm provides a quadratic speedup for unstructured search problems, showcasing the potential for dramatic improvements in database search capabilities (Grover, 1996). These algorithms exemplify how quantum computing can revolutionize fields that rely on complex computations. Quantum hardware, however, is still in its nascent stage, with significant challenges to be overcome. Current quantum computers, such as those developed by IBM and Google, have demonstrated quantum supremacy but are limited by issues of qubit coherence and error rates (Arute et al., 2019). Quantum error correction and the development of more stable qubit technologies are critical areas of ongoing research (Preskill, 2018). Despite these challenges, recent advancements in quantum hardware and algorithms continue to drive the field forward, promising transformative impacts on industries such as cryptography, drug discovery, and artificial intelligence. As quantum computing continues to advance, it holds the promise of solving problems that are currently intractable for classical computers, paving the way for unprecedented technological and scientific advancements (Shor, 1997; Grover, 1996). This article provides a comprehensive overview of the current landscape of quantum computing, discussing its foundational principles, key algorithms, hardware challenges, and potential applications. By understanding these aspects, we can better appreciate the profound implications of quantum computing for the future of technology and science.
Abstract: Quantum computing is a new type of computing that uses the principles of quantum physics to perform calculations in ways that are not possible with traditional computers. Unlike classical computers, which process information using bits that are either 0 or 1, quantum computers use quantum bits (qubits) that can exist in multiple states at the same time. This ability allows quantum systems to solve certain complex problems much faster than classical machines. This paper presents a simple and human-centered explanation of quantum computing, focusing on how it works, why it matters, and how it can be applied in real-world situations. The study discusses key concepts such as superposition, entanglement, and quantum gates using easy-to-understand language. It also explores practical applications including cryptography, optimization, drug discovery, and material simulation. In addition, this paper examines the current challenges in quantum computing, such as hardware instability, error correction, limited qubit scalability, and high implementation cost. A conceptual hybrid classical–quantum system model is proposed to show how quantum and classical computers can work together to solve complex problems more efficiently. The goal of this research is to make quantum computing more understandable to students, educators, and decision-makers, and to encourage early awareness and responsible development of this powerful technology. Keywords — quantum computing, qubit, superposition, entanglement, quantum gate, error correction, hybrid computing
The knowledge and understanding of the technology of quantum computers and their superiority over classical computers are still insufficient or uncertain for many communities of researchers, manufacturers, investors and the general public.For this reason, we try in this article to present and explain some of the basic concepts of quantum computers.We explain how the quantum phenomena may be employed to conceive a quantum computer by defining the qubit that will represent the data entity corresponding to the bit in the classical computer and how this computer can effectively be powerful.We address the issue of strengthening the information system security through a simulation of a spy hunter and the importance of image processing security using the quantum computer, which will minimize the data processing time regardless of the amount of data to be processed.The security of the images will lead us to introduce the new prospects of using multilevel systems instead of binary systems, which will exponentially increase the gain in the size of the memory used.
Quantum computing is a fantastic technology that has been evolved throughout time and is 100 trillion times quicker than a supercomputer. It is based on quantum theory, which can do calculations using probability theory and linear algebra. These two disciplines of research are involved in all sub-areas of Data Science and other contemporary technology domains, and can answer a wide range of complex problems which even the most powerful supercomputer cannot carry out. Instead of just 0's and 1's where the classical computers encipher the data or convert the information, it works on qubit that is, it can hold up to two bits which is called as Quantum superposition where it has two different states zero or one in which it can be defined and is also possible for it to exist in both, i.e. a superposition of the two states. Light based quantum computer outperforms the classical super computer by exceeding its performance speed. Quantum computing can solve known problems such as encryption and cyber security. Quantum computing has the ability to process quickly to arrive at a solution and offers well and more computing power to the world of Artificial Intelligence systems and efficient Machine learning systems by solving small and large problems much faster. The main aim or objective of this paper is to discuss about the applications and importance of quantum computing in future which is very helpful to the people who are associated with cryptography, Aviation, Data Analytics, Forecasting, Medical research, Pattern matching, self-driving cars and so on.
Quantum computing (QC) is a fundamentally new interdisciplinary idea at the interface of physics, mathematics and informatics.Today QC is still in its initial stages in terms of its practical implementation due to difficulties related with maintaining a high level of quantum coherency at the macroscopic level.However, theoretical principles of QC are presently well understood and there is a significant on-going progress towards actual prototypes of functioning QC.Present protocols of secure electronic communication can be easily cracked by QC.Thus, the advent of QC can make almost all existing systems of confidential communications utterly unreliable.The present paper gives a non-specialist overview of the principles of QC and discusses some of its possible applications, and also addresses the above challenges concerning the reliability and security of information and communication systems.
Artificial neural networks (ANNs) and quantum computing (QC) have both received rapidly increasing interest in recent years for several reasons. Their roles in the mechanics community remain a subject of ongoing debate and research. ANNs have successfully been employed on problems previously considered unsolvable ( Silver et al. 2016 ), as well as on practical and illustrative problems especially in the image recognition domain ( Szegedy et al. 2013 , among others). The most straightforward way to interpret the behavior of ANNs is focusing on their ability to approximate any continuous function to arbitrary precision ( Kreinovich 1991 ). The adjustment to a given function happens automatically except for hyperparameters, such as the number of hidden layers or the learning rate, which remain constant during training. This makes them a perfect tool for reducing computational cost in otherwise time-consuming simulations. Quantum computing on the other hand has received some publicity in 2018 mainly because of a paper published by Google Quantum A.I. Lab scientists defining quantum supremacy ( Boixo & Isakov 2018 ), where it is shown that a fully working universal quantum computer with only 50 qubits will outperform any near-term realizable classical supercomputer on certain tasks. This publication was followed up by Google revealing Bristlecone ( Kelly 2018 ), a quantum processor consisting of 72 qubits. While many interesting quantum algorithms have proven to run polynomially or even exponentially faster than their classical analogons ( Montanaro 2016 ), these results only hold true for a decoherence-free machine. Therefore, to actually achieve quantum supremacy , quantum error correction schemes need to be implemented, requiring several physical qubits to make up a single logical qubit suitable for computation.