With the constant progress in technologies, each day we develop a new approach to overcome the limitations of their classical counterparts. Quantum computing is one such path breaking step, which is expected to overcome all limitations of conventional computers utilizing quantum mechanics, computer science, and mathematical models. Qubit remain an integral part of the quantum computation, and for better performance of quantum computers, the material used in qubit remains a center of consideration. Semiconductors qubits serve most of the purpose, and is marked as a principal material in the information processing. In this study, we have reviewed different types of qubit realizations comparing them on various parameters like their control, readout, materialistic approach, limitations, and recent advancements made, highlighting different opportunities in this field. Quantum scalability proposals have also been studied. We have systematically discussed different properties of semiconductor quantum dots, their applications, and the challenges like decoherence, and the opportunities that underlie, in order to determine a better material, and possibly a satisfactory reason for using semiconductors in quantum computing.
With the constant progress in technologies, each day we develop a new approach to overcome the limitations of their classical counterparts. Quantum computing is one such path breaking step, which is expected to overcome all limitations of conventional computers utilizing quantum mechanics, computer science, and mathematical models. Qubit remain an integral part of the quantum computation, and for better performance of quantum computers, the material used in qubit remains a center of consideration. Semiconductors qubits serve most of the purpose, and is marked as a principal material in the information processing. In this study, we have reviewed different types of qubit realizations comparing them on various parameters like their control, readout, materialistic approach, limitations, and recent advancements made, highlighting different opportunities in this field. Quantum scalability proposals have also been studied. We have systematically discussed different properties of semiconductor quantum dots, their applications, and the challenges like decoherence, and the opportunities that underlie, in order to determine a better material, and possibly a satisfactory reason for using semiconductors in quantum computing.
Quantum computing is the outcome of the size of semiconductor chips breaking the limits of classical physics, and is a landmark technology in the post-Moore's law era. Making use of the quantum properties of electrons in semiconductor quantum dots is believed to be one of the most promising candidates for the realization of quantum computing. In recent years, a series of breakthroughs have been made, including the preparation and readout of qubits, and the manipulation of quantum logic gates. This paper first introduces the background and significance of research on semiconductor quantum dot-based quantum computing and then provides an overview of the developments regarding spin-, charge-, and few-electron-based qubits, as well as the long distance coherent coupling of qubits. Finally, we discuss future trends in semiconductor-based quantum computing.
Quantum computing aims at overcoming the limitations of conventional computers. Over the last few decades quantum computing has seen significant advances, particularly in superconducting quantum processor architecture based on superconducting qubits. In our work, we have provided a review over the superconducting qubits, their types, and the advantages these possess over other forms of qubits. Besides the theoretical aspects, we have also discussed different challenges and recent advancements that have been made till now in dealing with those challenges. With this review we lay out some future opportunities in this field and motivate further research in this field.
Quantum computing represents a paradigm shift in computation, leveraging the principles of quantum mechanics to process information in ways that classical computers cannot. This paper explores the applications and physical realizations of quantum computing, highlighting both theoretical advancements and experimental progress. Quantum algorithms promise to revolutionize fields such as cryptography, artificial intelligence, material science, and optimization. The physical realization of quantum computers remains a significant challenge, with multiple approaches being explored including superconducting qubits, trapped ions, and quantum dots. This paper discusses these advancements in detail, assessing both the opportunities and the obstacles that lie ahead for quantum computing. A roadmap for future research and development is also proposed
Quantum computing represents a transformative paradigm that exploits the principles of quantum mechanics—superposition, entanglement, and quantum interference—to perform computations beyond the capabilities of classical computers. This review presents a comprehensive overview of the fundamental concepts underlying quantum computation, including qubits, quantum gates, quantum algorithms and measurement theory. It further examines major physical implementations of quantum computers, such as superconducting circuits, trapped ions, photonic systems, spin-based qubits, and topological approaches, highlighting their operational principles, advantages, and technological limitations. Key challenges hindering large-scale quantum computation—decoherence, error rates, qubit scalability, and fault tolerance—are critically discussed. Additionally, recent progress in quantum error correction, hybrid quantum–classical algorithms, and hardware optimization is summarized. The review concludes by outlining future research directions and potential applications of quantum computing in cryptography, materials science, optimization, and drug discovery. By integrating theoretical foundations with experimental advancements, this article aims to provide a clear and accessible reference for students, researchers, and scientists entering the rapidly evolving field of quantum computing.
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.
The integration of semiconductor technologies with quantum computing hardware holds immense promise in revolutionizing computation paradigms. This abstract delves into the pivotal role semiconductor materials play in advancing quantum computing hardware, focusing on their fabrication, implementation, and scalability. Silicon quantum dots emerge as frontrunners in this landscape, offering a robust platform for qubit realization. Through lithography, ion implantation, and etching processes, semiconductor-based qubits demonstrate remarkable potential for scalability and manufacturability. This abstract navigates through the fundamentals of quantum computing, elucidating the principles of qubits and quantum gates. It explores the historical evolution of semiconductor technologies in quantum computing hardware, highlighting silicon as a promising substrate for quantum dot-based architectures. Challenges such as coherence times and error rates are scrutinized alongside potential solutions.