Recent advances in quantum computing have positioned it as one of the most transformative technological domains for future information processing. Unlike classical systems, quantum computers exploit principles such as superposition and entanglement to enable parallel computation and significantly enhanced processing capabilities. The superconducting quantum processor “Zuchongzhi-3,” consisting of 105 qubits arranged in a two-dimensional architecture, demonstrates notable progress in coherence time, operational precision, and error reduction, which are critical factors for scalable quantum computation. Its demonstrated computational performance indicates a clear advantage over classical supercomputers in solving specific complex problems, highlighting the emergence of quantum supremacy. From a security and defense perspective, such advancements introduce both opportunities and challenges. Quantum systems can be leveraged for high-speed analysis of large datasets, optimization of complex operational processes, and simulation of advanced scenarios that are beyond the reach of conventional systems. At the same time, their development signals potential disruptions to existing cryptographic frameworks and information security mechanisms. Comparative analysis with other leading quantum platforms shows that computational capability is not solely determined by qubit count, but also by system stability, architecture design, and operational reliability. Consequently, the evolution of quantum computing technologies reflects a broader trend toward integration with classical infrastructures, enabling hybrid computational models that enhance decision-making processes in dynamic and unpredictable environments.
Recent advances in quantum computing have positioned it as one of the most transformative technological domains for future information processing. Unlike classical systems, quantum computers exploit principles such as superposition and entanglement to enable parallel computation and significantly enhanced processing capabilities. The superconducting quantum processor “Zuchongzhi-3,” consisting of 105 qubits arranged in a two-dimensional architecture, demonstrates notable progress in coherence time, operational precision, and error reduction, which are critical factors for scalable quantum computation. Its demonstrated computational performance indicates a clear advantage over classical supercomputers in solving specific complex problems, highlighting the emergence of quantum supremacy. From a security and defense perspective, such advancements introduce both opportunities and challenges. Quantum systems can be leveraged for high-speed analysis of large datasets, optimization of complex operational processes, and simulation of advanced scenarios that are beyond the reach of conventional systems. At the same time, their development signals potential disruptions to existing cryptographic frameworks and information security mechanisms. Comparative analysis with other leading quantum platforms shows that computational capability is not solely determined by qubit count, but also by system stability, architecture design, and operational reliability. Consequently, the evolution of quantum computing technologies reflects a broader trend toward integration with classical infrastructures, enabling hybrid computational models that enhance decision-making processes in dynamic and unpredictable environments.
This study aims to analyze recent developments in quantum supremacy by comparing the computational performance of stabilized superconducting qubit systems with classical supercomputing capabilities. A systematic literature review was conducted on major experimental studies published between 2019 and 2024, focusing on random circuit sampling, qubit stability, gate fidelity, and computational runtime comparisons. The analysis covers key quantum processors, including Sycamore and Zuchongzhi, by evaluating three main parameters: number of qubits, circuit complexity, and performance gap relative to classical simulation.The results show that quantum processors with 50–100 qubits and high gate fidelity are able to complete specific sampling tasks within seconds to hours, whereas equivalent classical simulations would require thousands to billions of years. The findings also indicate that computational advantage increases exponentially with system scale and is strongly influenced by qubit stability and error suppression techniques. Although the demonstrated tasks remain specialized and not yet applicable to practical problems, the evidence confirms that stabilized qubit systems have achieved a measurable computational regime beyond classical feasibility.This review provides a clear synthesis of current experimental achievements and highlights that future progress toward practical quantum advantage depends on improvements in error correction, scalability, and hardware reliability.
This paper presents a comprehensive review of quantum computing and the technological foundations of quantum processors. Quantum computing represents a transformative computational paradigm that leverages the fundamental principles of quantum mechanics—such as superposition, entanglement, and quantum interference—to solve complex problems that are intractable for classical computers. At the core of this paradigm lies the quantum processor, a specialized hardware system designed to initialize, control, and measure quantum bits (qubits) through precise gate operations and coherent interactions. The survey examines the essential theoretical concepts underlying quantum computation and provides a structured comparison of leading quantum processor platforms. Prominent architectures, including superconducting circuits, trapped-ion systems, and photonic implementations, are analyzed in terms of their physical mechanisms, scalability, coherence properties, and engineering challenges. Each platform offers distinct advantages and faces specific technical limitations related to noise, error correction, and fabrication complexity. In addition to reviewing hardware developments, this study highlights key obstacles in advancing quantum processors toward large-scale, fault-tolerant systems. Issues such as qubit stability, error mitigation, thermal management, and system integration are discussed to present a realistic perspective on current progress. Performance indicators including gate fidelity, coherence time, connectivity, and scalability are used to compare architectural approaches. The objective of this paper is to provide a clear and organized synthesis of recent advancements in quantum computing hardware, thereby offering researchers and practitioners a foundational reference to support continued innovation and development in this rapidly evolving field.
Quantum computing is poised to revolutionize the future of advanced computational systems, offering unprecedented speed and efficiency for solving complex problems that are beyond the capabilities of classical computers. Traditional computational models, based on bits representing either a 0 or 1, are approaching their physical and performance limits. Quantum computers, however, leverage the principles of quantum mechanics—specifically, superposition and entanglement—to operate on quantum bits, or qubits, which can exist in multiple states simultaneously. This capability allows quantum systems to process vast amounts of data in parallel, potentially solving problems in seconds that would take classical systems millions of years. As the demands on computational systems grow in fields like cryptography, artificial intelligence (AI), drug discovery, and materials science, quantum computing offers solutions that can overcome the bottlenecks faced by classical computing architectures. This paper explores the foundational principles of quantum computing, its advantages over classical systems, and its potential applications in various industries. Additionally, we analyze the current challenges that quantum computing faces, such as error rates, quantum decoherence, and hardware scalability. We also consider the future trajectory of quantum computing, including the potential for quantum supremacy and the development of hybrid quantum-classical systems. Although quantum computing is still in its nascent stages, with practical quantum computers requiring further advancements in qubit coherence and error correction, its future impact on computational systems is undeniable. This paper aims to provide a comprehensive review of how quantum computing is shaping the future of computational systems, detailing the technologies, applications, and challenges ahead. With continuous technological advancements, quantum computing has the potential to redefine global industries, solve previously unsolvable problems, and fundamentally alter our understanding of computation in the coming decades.
The recently emerged field called quantum computing uses the ideas of quantum physics to execute computations substantially faster than they could be done on a conventional computer. This chapter provides a detailed discussion, highlighting its evolution, recent advancements, future opportunities, and challenges for future generations. Rapid advancements have been made in quantum computing, driven by breakthroughs in quantum algorithms, hardware technologies, and theoretical understanding. The essential components that constitute quantum computers, known as qubits, or quantum bits, can exist in superposition and entanglement states, enabling parallel computation and complex information processing. Also, recent advancements in quantum computing have demonstrated the feasibility of quantum algorithms for solving certain problems more efficiently than classical algorithms. Quantum supremacy experiments have showcased the ability of quantum computers to outperform classical systems in specific tasks. Additionally, efforts in developing scalable qubit architectures have advanced the practicality of quantum computers.
Quantum computing, built on the principles of quantum mechanics, has emerged as a transformative paradigm with the potential to revolutionize computational capabilities, enabling solutions to problems that are currently intractable for classical systems. Quantum computing integrates hardware, architectures, and software for improved applications while utilizing superposition, entanglement, and interference to promote materials science, cryptography, optimization, and artificial intelligence. Sections introduce and describe the model components needed in order to create quantum processors, including qubits, quantum gates and control electronics, as well as a review of new developments in quantum software frameworks and programming tools. Notable examples, such as Shor’s algorithm for cryptographic caveat, Grover’s algorithm for inefficient search processes, and quantum-enhanced optimization, illuminate the position of quantum computing as a means of tackling tough problems that span disciplines, such as pharmaceuticals, predictors of climate, and finance modeling. However, the field continues to face significant challenges, like limited scalability, quantum gate error rates, qubit coherence times, and difficulties integrating with classical systems. Future efforts will focus on developing hybrid quantum-classical systems, scalable architectures, and industry- specific applications to transition quantum computing from exploration to practical deployment. This review provides a comprehensive analysis of quantum computing, covering its potential, trends, and challenges, while exploring hardware-software integration, classicalquantum comparisons, and insights to guide research and industry in unlocking its revolutionary possibility.
This article comprehensively examines the conceptual and practical aspects of two fundamental directions at the peak of the hierarchy of modern computing technologies — classical supercomputers and quantum computing systems. The relevance of the research is explained by the rapid growth of data volumes and the fact that traditional silicon technologies have reached their physical limits. The first part of the article analyzes the history of supercomputer development, their multi-core parallel architecture, and operating principles based on logical bits. Simultaneously, the technological limitations of such systems, including high energy consumption and cooling requirements, are highlighted. The second part explores the laws of quantum mechanics as the theoretical foundation of quantum computers, specifically the impact of superposition and entanglement phenomena on computing efficiency. The fundamental differences between classical bits and quantum bits (qubits) are scientifically justified, alongside the revolutionary potential of quantum algorithms (such as Shor’s and Grover’s algorithms) in traditional cryptographic and search systems. In the final section, a comparative analysis of these two powerful systems is conducted regarding processing speed, energy consumption, fault tolerance, and practical application areas. The research results indicate that quantum computers will not entirely replace classical supercomputers in the near future; instead, they will facilitate the formation of hybrid computing models. The article is intended for industry specialists, students, and those interested in the evolution of high technologies.