Abstract Quantum computing leverages the power of superposition, entanglement, and interference to surpass classical systems in certain computational tasks. The first studies revolved around two-state quantum systems (qubits), which are a superposition of the |0⟩ and |1⟩ states. These qubits are physically realized using subatomic particles (e.g., electrons or photons) with the two states corresponding to different energy levels or polarization directions. However, some of these particles can exist in more than two discrete states. For example, an electron may occupy several energy levels, or a photon may have more than two polarization states. As a result, there has been an interest in qudits, quantum systems with d different states. A fascinating subcase of this is a qutrit, a three-level quantum system with states |0⟩, |1⟩, and |2⟩ as its basis. It is understood that qutrits with their larger state space can improve the storage and processing of information, and Qutrit-based quantum computing can be realized by defining suitable quantum gates to concatenate the three-level systems. Researchers have proposed qutrit gates, some of which are direct generalizations of qubit gates, such as the Pauli-X gate, and others are entirely new gate constructs. This paper summarizes recent advances in qutrit-based quantum computing, where the definitions of various qutrit gates are presented, and their significance in the development of qutrit-based quantum computing, particularly in implementing Deutsch and Shor’s algorithms, is explored.
Abstract Quantum computing leverages the power of superposition, entanglement, and interference to surpass classical systems in certain computational tasks. The first studies revolved around two-state quantum systems (qubits), which are a superposition of the |0⟩ and |1⟩ states. These qubits are physically realized using subatomic particles (e.g., electrons or photons) with the two states corresponding to different energy levels or polarization directions. However, some of these particles can exist in more than two discrete states. For example, an electron may occupy several energy levels, or a photon may have more than two polarization states. As a result, there has been an interest in qudits, quantum systems with d different states. A fascinating subcase of this is a qutrit, a three-level quantum system with states |0⟩, |1⟩, and |2⟩ as its basis. It is understood that qutrits with their larger state space can improve the storage and processing of information, and Qutrit-based quantum computing can be realized by defining suitable quantum gates to concatenate the three-level systems. Researchers have proposed qutrit gates, some of which are direct generalizations of qubit gates, such as the Pauli-X gate, and others are entirely new gate constructs. This paper summarizes recent advances in qutrit-based quantum computing, where the definitions of various qutrit gates are presented, and their significance in the development of qutrit-based quantum computing, particularly in implementing Deutsch and Shor’s algorithms, is explored.
Quantum information processing has become a promising research area. In quantum information processing qubits and qutrits will be used instead of bits. A qubit is a two level quantum system and a qutrit is a three level quantum system. Zeeman levels of spin-1 electron or nucleus can be considered as qutrit states. In this study, first, two and three qutrit SWAP logic gates are developed. For two qutrit states, there exist different types of CNOT quantum logic gates. The relationships between these different types of CNOT gates are obtained in this study.
Qudit is a multi-level computational unit alternative to the conventional 2-level qubit. Compared to qubit, qudit provides a larger state space to store and process information, and thus can provide reduction of the circuit complexity, simplification of the experimental setup and enhancement of the algorithm efficiency. This review provides an overview of qudit-based quantum computing covering a variety of topics ranging from circuit building, algorithm design, to experimental methods. We first discuss the qudit gate universality and a variety of qudit gates including the pi/8 gate, the SWAP gate, and the multi-level-controlled gate. We then present the qudit version of several representative quantum algorithms including the Deutsch-Jozsa algorithm, the quantum Fourier transform, and the phase estimation algorithm. Finally we discuss various physical realizations for qudit computation such as the photonic platform, iron trap, and nuclear magnetic resonance.
In this section we provide a broad overview of the basic principles of quantum mechanics and how they enable modern quantum technologies. The starting point is the concept of superposition, which allows quantum systems to be in multiple states at the same time and forms the basis of quantum computation using qubits and parallel processing of information. The conversation then turns to quantum entanglement, a non-classical effect that creates strong correlations between particles, and has applications in secure communication and quantum teleportation. Also mentioned is the quantum coherence, which preserves phase relations between quantum states and makes it possible for quantum systems to function correctly. But it is also emphasized that quantum coherence is fragile to environmental perturbations. This chapter also covers quantum measurement, taking into account the probabilistic nature of quantum mechanics, and how the act of observation results in the collapse of a quantum state to a definite outcome. These principles together constitute the theoretical basis of quantum computing, where quantum gates and algorithms and qubits take advantage of superposition, entanglement and interference to offer computational benefits over classical systems. The most important algorithms like Shor’s and Grover’s algorithms that demonstrate a considerable speed-up in solving the problem are discussed along with different models of quantum computing, such as gate, adiabatic and measurement-based models. Furthermore, the section reviews some physical realizations of quantum systems, such as superconducting qubits, trapped ions, photonic systems and topological qubits, with their advantages and difficulties. Overall, this discussion shows how the basic principles of quantum mechanics are the foundation for the development of advanced quantum technologies, while also dealing with the practical difficulties that arise in their implementation.
This paper investigates the core principles of quantum computation, providing an in-depth understanding of quantum phenomena and illustrating how these principles form the scientific foundation of the field. The pivotal physical concepts, such as properties of subatomic particles, including electrons and photons, as well as their mathematical description through linear algebra are examined. It focuses on the qubit, the quantum analogue of a classical bit, featuring properties like superposition, entanglement, and wave function collapse, which redefine the traditional concept of information processing. The mathematical structures that underlie quantum system modelling—vector spaces, tensor products, and Dirac notation—are also systematically explained. Essential components of quantum computation involve logic gates such as Pauli matrices and Hadamard gates, which demonstrate the novel application of qubits in unique ways. This sets up an important theme of the interdependence and potential for transformation of quantum states through the illustration of advanced ideas of quantum entanglement and teleportation. Quantum circuits serve as an outstanding example of how reversibility and superposition are exploited to solve complex problems at unprecedented levels of efficiency. The paper also highlights the Deutsch-Jozsa algorithm as a compelling example of quantum superiority over traditional computational approaches. Together, these findings emphasize the transformative potential of quantum computing for science and industry.
Classical computing works by processing bits, or 0s and 1s representing electrical signals of on and off. Quantum computing employs a very different technique for information processing. It uses qubits, which can exist as both a 1 and 0 at the same time, and uses the properties of subatomic particles in quantum physics such as interference, entanglement, and superposition to extend computational capabilities to hitherto unprecedented levels. The efficacy of quantum computing for important verticals such as healthcare where quantum computing can enable important breakthroughs in the development of life-saving drugs, performing quick DNA sequencing, detecting diseases in early stages, and performing other compute-intensive healthcare related tasks is not yet fully explored. Furthermore, implementations of quantum computing for healthcare scenarios such as these have their own unique set of requirements. Unfortunately, existing literature that address all of these dimensions is largely unstructured. This research is intended to be the first systematic analysis of the capabilities of quantum computing in enhancing healthcare systems. This article is structured with the help of taxonomies developed from existing literature to provide a panoramic view of the background and enabling technologies, applications, requirements, architectures, security and open issues, and future research directions. We believe the paper will aid both new and experienced researchers working in both quantum computing and the healthcare domains in visualizing the diversity in current research, in better understanding both pitfalls and opportunities, and coming up with informed decisions when designing new architectures and applications for quantum computing in healthcare.
Classical computing works by processing bits, or 0s and 1s representing electrical signals of on and off. Quantum computing employs a very different technique for information processing. It uses qubits, which can exist as both a 1 and 0 at the same time, and uses the properties of subatomic particles in quantum physics such as interference, entanglement, and superposition to extend computational capabilities to hitherto unprecedented levels. The efficacy of quantum computing for important verticals such as healthcare where quantum computing can enable important breakthroughs in the development of life-saving drugs, performing quick DNA sequencing, detecting diseases in early stages, and performing other compute-intensive healthcare related tasks is not yet fully explored. Furthermore, implementations of quantum computing for healthcare scenarios such as these have their own unique set of requirements. Unfortunately, existing literature that address all of these dimensions is largely unstructured. This research is intended to be the first systematic analysis of the capabilities of quantum computing in enhancing healthcare systems. This article is structured with the help of taxonomies developed from existing literature to provide a panoramic view of the background and enabling technologies, applications, requirements, architectures, security and open issues, and future research directions. We believe the paper will aid both new and experienced researchers working in both quantum computing and the healthcare domains in visualizing the diversity in current research, in better understanding both pitfalls and opportunities, and coming up with informed decisions when designing new architectures and applications for quantum computing in healthcare.