Browsing by Author "Mummadi, M."

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    A Novel Approach for Asymmetric Quantum Error Correction With Syndrome Measurement
    (Institute of Electrical and Electronics Engineers Inc., 2022) Mummadi, M.; Rudra, B.
    Most of the quantum error correction methods are symmetric. Symmetric methods are implemented by considering the amplitude of bit flip(X) and phase flip(Z) errors as same. With the quantum experiments, it is observed that the amplitude of Z errors are more compared to X errors. Due to which the need of asymmetric error correction has increased. This paved a path for the development of asymmetric error correction methods. In this paper, we discussed the concept of asymmetric quantum error correction (AQEC) and proposed an efficient approach for AQEC with encoding, syndrome measurement and decoding operations with increased fidelity to 85.89% and reduced circuit depth to 48%. © 2013 IEEE.
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    A Novel Architecture for Binary Code to Gray Code Converter Using Quantum Cellular Automata
    (Springer Science and Business Media Deutschland GmbH, 2022) Mummadi, M.; Rudra, B.
    In CMOS, the channel length is sinking day by day which raises a lot of questions about its future. Quantum dot computation is an alternative solution to the CMOS technology, which has the strength to increase the speed of computations and reduce the power while performing those computations as well as it reduces the area when compared to CMOS technology. To perform computations using quantum, we generate arithmetic circuits where code converters play a significant role. In this paper, we are discussing 2-, 3-, and 4-bit binary to gray code converters that are designed with a minimum number of qubits using 0.0251, 0.0382, 0.06 μ m 2 area respectively. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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    An efficient approach for quantum entanglement purification
    (World Scientific, 2022) Mummadi, M.; Rudra, B.
    Entanglement plays a major role in quantum information process and is a principal resource for various quantum applications like quantum teleportation, quantum key distribution, quantum communication, etc. Strong entangled pairs are required for efficient information process but system impurities during the transportation diminishes the entanglement by reducing the fidelity of the entangled pair. In order to reduce this, purification techniques can be used. In this paper, we propose an efficient entanglement purification method to distill the entanglement using entanglement swapping. The proposed method increases the fidelity of the entanglement and can be a proficient for various applications of quantum computing. © 2022 World Scientific Publishing Company.
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    Experimental Analysis of a Quantum Encoder in Various Quantum Systems
    (Institute of Electrical and Electronics Engineers Inc., 2022) Mummadi, M.; Rudra, B.
    Quantum computer performs operations by adopting the principles of quantum physics and quantum mechanics. With these principles, it performs operations exponentially faster compared to classical computers. The major problem observed in quantum computation is noise and decoherence. The noise and decoherence generate errors while performing the operations on quantum states. As a solution to this Quantum error correction(QEC) methods are introduced. Encoding plays a key role in QEC. In the encoding process, the logical qubits are encoded into physical qubits by appending extra qubits to them. With this, the logical qubit will be strengthened and can be transferred safely. Initially, the experimental results of quantum computation are theoretical or mathematical. But with the existence of quantum computers, it is possible to develop and run new quantum architectures on publicly available quantum computers. Thus in this paper, we developed an efficient algorithm for encoding quantum information using various quantum gates. The developed algorithm is executed on various quantum systems and the performance is analyzed in terms of frequency, run time, error rate, number of qubits, and quantum volume. This analysis helps the researchers to opt an efficient quantum system to perform the experiments. © 2022 IEEE.
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    Implementation of Reversible Logic Gates with Quantum Gates
    (Institute of Electrical and Electronics Engineers Inc., 2021) Mummadi, M.; Rudra, B.
    Quantum is an emerging technology in future computers. Reversibility is the main advantage of quantum computers. In conventional computers, the computation is irreversible i.e. the input bits are lost once the logic block generates the output and input bits cannot be restored but it can be done in reversible computation because in reversible computation the inputs and outputs have a one-to-one correspondence. Therefore, a reversible gate input could even be uniquely determined from their output which leads to less power consumption. Hence the complexity of the digital circuits can be reduced by using reversible computing. In quantum computer to perform reversible operations, we need to implement the reversible gates using quantum gates. In this paper, we discussed various reversible logic gates like Feynman, Toffoli, R, Peres and TR gates using basic quantum gates like CNOT, Pauli, Swap gates and their implementation using IBM quantum experience. © 2021 IEEE.
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    Novel Encoding method for Quantum Error Correction
    (Institute of Electrical and Electronics Engineers Inc., 2022) Mummadi, M.; Rudra, B.
    Quantum error correction plays a vital role in the Quantum information process. Nowadays, the research has been increased in quantum technology and is being applied in various applications like secure communications, finance, machine learning, drug analysis and etc. But the quantum information process is difficult compared to the classical due to the challenges in quantum technology like no-cloning theorem, decoherence, and the difficulty in quantum states measurement. Thus the error rate is high and it is not possible to build a quantum computer without an error detection and correction mechanism. In this paper, we are discussing various error correction methods and proposing a novel encoding method for quantum error correction. © 2022 IEEE.