Recent Advances in Quantum Computing

The purpose of this Special Issue is to publish novel research in the domain of quantum computing. In recent years, quantum computing is gaining popularity due to its inherent ability to explore computational power and to establish the facts “physically about computation”. It has been observed that quantum computation provides more new ideas and exciting capabilities for increasing the efficiency of computation and information processing.  The nature of the quantum computation allows the machine to account for states that are not included only in binary states ‘0’ and ‘1’ but also other than these two states, generally known as qubits. The qubits are represented as abstract mathematical objects that are capable of formulating quantum computation and quantum information, which is more efficient than conventional computing. Therefore, researchers have explored quantum computing as a conventional computing alternative. The physical realization of the quantum-computing system is in progress, and many research groups have successfully implemented the quantum gates. However, the researchers are still focusing on the suitable quantum computing models that are capable of constructing the quantum circuit. Moreover, there is a close relation between quantum and reversible computing. More precisely, quantum computing operations are reversible. Additionally, with the increasing importance of the use of reversible and quantum circuits, testing of these circuits is necessary to ensure their performance reliability. Though quantum computation can be used in various promising areas, many challenges are remaining, such as handling the large qubits for controlling the software and hardware requirements, efficiently scaling the qubits for quantum networks and communication, developing quantum algorithms to handle many complex problems with less computational complexity, and so on. The main objective of this Special Issue on “Quantum Computing” is to focus on all the relevant topics, such as quantum algorithms and their applications, quantum simulation, quantum-computing systems, quantum information processing, quantum and reversible circuits, fault testing of reversible and quantum circuits, quantum network and communication, quantum programming languages, quantum cryptography and quantum-dot cellular automata.

The topics include but are not limited to the following:

• Benchmarking quantum systems;
• Distributed quantum computing;
• Fault tolerant quantum reversible circuits;
• Mapping and routing of quantum circuits;
• Multivalued quantum design;
• Model based design on quantum-computing system;
• Online and offline testing of quantum/reversible circuits;
• Quantum algorithms;
• Quantum application mapping to the classical computing;
• Quantum circuits;
• Quantum communication;
• Quantum complexity theory;
• Quantum computing;
• Quantum cryptography;
• Quantum computation;
• Quantum computer architecture;
• Quantum cellular automata;
• Quantum dot cellular automata;
• Quantum information;
• Quantum machine learning;
• Quantum networks and communication;
• Quantum programming;
• Quantum simulators;
• Quantum reversible hardware description languages;
• Quantum reversible sequential circuit design;
• Quantum reversible synthesis approaches;
• Scalable quantum computer architecture;
• Synthesis approaches for quantum reversible circuits.

Dr. Majid Haghparast
Guest Editor

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