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International Journal on Science and Technology

Quantum Technology and its Interplay with Electronics, Physics and Computer Science

Vijay Satya Prasad Yarramsetti

Published Jul 10, 2025• 0 citations
Publisher

Abstract

This report explores the profound and symbiotic relationship between quantum technology and classical electronics, highlighting their convergence as a transformative force in modern engineering and computation. It details how classical electronic systems are indispensable for the control, measurement, and operation of nascent quantum technologies—including quantum computing, communication, sensing, and simulation—particularly through advanced cryogenic and interface architectures. Concurrently, the inherent scaling limitations of classical electronics at the nano scale are driving innovation inspired by quantum mechanical principles, leading to the development of next-generation devices and the exploration of exotic quantum materials. The analysis addresses significant technical challenges such as noise, scalability, latency, and thermal management, alongside the immense economic and strategic opportunities presented by this frontier. Ultimately, the report projects a future defined by seamless quantum-classical hybrid systems, underscoring that the advancement of quantum technology is deeply reliant on breakthroughs in classical electronics, physics, and computer science. Quantum technology represents a transformative frontier that bridges fundamental physics, advanced electronics, and cutting-edge computer science. Rooted in the principles of quantum mechanics—such as superposition, entanglement, and tunneling—quantum technologies are reshaping how information is processed, transmitted, and measured. The interplay between physics provides the theoretical foundation, while electronics enables precise control and manipulation of quantum systems through devices like qubits and quantum sensors. Meanwhile, computer science contributes with algorithms, error correction, and software frameworks essential for quantum computation and communication. This interdisciplinary synergy is driving breakthroughs in quantum computing, quantum cryptography, and quantum sensing, promising profound impacts on industries ranging from cybersecurity to materials science and artificial intelligence.

DOI
10.71097/ijsat.v16.i3.6856

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Book Publisher International (a part of SCIENCEDOMAIN International)•Feb 14, 2026•0 citations
This report explores the profound and symbiotic relationship between quantum technology and classical electronics, highlighting their convergence as a transformative force in modern engineering and computation. It details how classical electronic systems are indispensable for the control, measurement, and operation of nascent quantum technologies—including quantum computing, communication, sensing, and simulation—particularly through advanced cryogenic and interface architectures. Concurrently, the inherent scaling limitations of classical electronics at the nano scale are driving innovation inspired by quantum mechanical principles, leading to the development of next-generation devices and the exploration of exotic quantum materials. The analysis addresses significant technical challenges such as noise, scalability, latency, and thermal management, alongside the immense economic and strategic opportunities presented by this frontier. Ultimately, the report projects a future defined by seamless quantum-classical hybrid systems, underscoring that the advancement of quantum technology is deeply reliant on breakthroughs in classical electronics, physics, and computer science. Quantum technology represents a transformative frontier that bridges fundamental physics, advanced electronics, and cutting-edge computer science. Rooted in the principles of quantum mechanics—such as superposition, entanglement, and tunneling—quantum technologies are reshaping how information is processed, transmitted, and measured. The interplay between physics provides the theoretical foundation, while electronics enables precise control and manipulation of quantum systems through devices like qubits and quantum sensors. Meanwhile, computer science contributes with algorithms, error correction, and software frameworks essential for quantum computation and communication. This interdisciplinary synergy is driving breakthroughs in quantum computing, quantum cryptography, and quantum sensing, promising profound impacts on industries ranging from cybersecurity to materials science and artificial intelligence.
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Quantum mechanics, once perceived as a purely theoretical domain of physics, has evolved into a cornerstone of modern technological advancement. This paper explores the profound role of quantum principles—such as superposition, entanglement, and wave-particle duality—in shaping contemporary technologies across diverse sectors. By delving into both foundational theories and practical implementations, the study reveals how quantum mechanics underlies the functionality of semiconductors, lasers, magnetic resonance imaging (MRI), and atomic clocks—technologies that are now indispensable to modern society. Moreover, the paper highlights cutting-edge innovations such as quantum computing, quantum cryptography, and quantum sensors, each of which represents a transformative leap in processing power, data security, and precision measurement. Through a combined qualitative and quantitative review of recent research, this work demonstrates that quantum technologies not only enhance performance and efficiency in existing systems but also open unprecedented avenues for communication, computation, and diagnostics. The emergence of quantum networks and the pursuit of quantum supremacy signal a new technological era with far-reaching implications for cybersecurity, artificial intelligence, and materials science. However, the integration of quantum technologies also presents challenges related to engineering scalability, error correction, and ethical governance. This research underscores the need for sustained interdisciplinary collaboration to translate quantum theory into scalable, secure, and socially responsible applications. Ultimately, the study affirms that quantum mechanics is no longer confined to the laboratory; it is embedded within the infrastructure of modern innovation and is poised to redefine the boundaries of what technology can achieve in the 21st century.
Quantum computing has emerged as a transformative computational paradigm capable of addressing limitations increasingly encountered by classical computing systems as Moore’s law approaches physical and economic constraints. By leveraging quantum mechanical principles such as superposition, entanglement, and interference, quantum systems offer the potential for significant computational advantages in solving complex problems that are currently infeasible for conventional architectures. This review critically synthesizes recent advances in quantum computing by examining foundational principles, major algorithmic breakthroughs, evolving hardware platforms, and interdisciplinary real-world applications. A structured narrative literature review was conducted using major scientific databases, including PubMed, IEEE Xplore, Nature, ScienceDirect, and arXiv, with emphasis on peer-reviewed studies, landmark foundational research, and major industry developments published between 2018 and 2026. Key findings indicate substantial progress in superconducting, trapped ion, photonic, and topological quantum systems, alongside innovations in algorithms such as Shor’s, Grover’s, variational quantum methods, and quantum machine learning. Despite these advancements, major challenges including decoherence, noise, scalability limitations, and fault-tolerant error correction remain substantial barriers to commercial maturity. Future implications suggest quantum computing may profoundly influence artificial intelligence, cybersecurity, optimization, molecular simulation, and scientific discovery, particularly through hybrid classical-quantum systems and cloud-based democratization. Although practical deployment remains transitional, quantum computing is positioned to become a foundational technology with broad scientific, industrial, and societal implications.
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.
Over the past century, quantum theory has taken flight from conceptual breakthroughs, such as wave–particle duality, quantisation of energy, and the uncertainty principle, to practical tools that are the backbone of modern electronics, lasers, semiconductors, and precision measurement systems. In the twenty-first century, this progress under the regime of the second quantum revolution has acquired the ability to directly control, manipulate, and engineer individual quantum systems.Quantum technologies found their pillars in quantum properties, such as superposition, entanglement, and coherence and have exceeded the boundaries of classical physics. The steady theoretical advances, combined with experimental progress, have brought quantum concepts closer to real-life use. Significant progress has made in filed of computation, communication, sensing, navigation, medicine, cyber security, and national defense undr the guidance of quantum technology.This book chapter presents a comprehensive and pedagogical overview of quantum technologies. It highlights quantum computing, quantum communication, and quantum sensing and metrology. The shift of quantum mechanics into practical applications is discussed. Current research trends are reviewed alongside the technological and engineering challenges. The critical issues, such as decoherence, scalability, error correction, standardisation, and workforce development, are discussed, which further highlights the need for global collaboration. Both National governments and the private sector are investing heavily in quantum research. This will act as a booster for quantum technologies to revolutionise information processing, secure communications, and precision measurements. Consequently and will significantly impact the scientific and technological landscape.
Over the past century, quantum theory has taken flight from conceptual breakthroughs, such as wave–particle duality, quantisation of energy, and the uncertainty principle, to practical tools that are the backbone of modern electronics, lasers, semiconductors, and precision measurement systems. In the twenty-first century, this progress under the regime of the second quantum revolution has acquired the ability to directly control, manipulate, and engineer individual quantum systems. Quantum technologies found their pillars in quantum properties, such as superposition, entanglement, and coherence and have exceeded the boundaries of classical physics. The steady theoretical advances, combined with experimental progress, have brought quantum concepts closer to real-life use. Significant progress has made in filed of computation, communication, sensing, navigation, medicine, cyber security, and national defense undr the guidance of quantum technology. This book chapter presents a comprehensive and pedagogical overview of quantum technologies. It highlights quantum computing, quantum communication, and quantum sensing and metrology. The shift of quantum mechanics into practical applications is discussed. Current research trends are reviewed alongside the technological and engineering challenges. The critical issues, such as decoherence, scalability, error correction, standardisation, and workforce development, are discussed, which further highlights the need for global collaboration. Both National governments and the private sector are investing heavily in quantum research. This will act as a booster for quantum technologies to revolutionise information processing, secure communications, and precision measurements. Consequently and will significantly impact the scientific and technological landscape.