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With the development in the field of quantum physics, several methods for building a quantum computer have emerged. These differ in qubit technologies, interaction topologies, and noise characteristics. In this article, insights are given into the circuitcentric architecture design of Noisy Intermediate-Scale Quantum (NISQ) devices. The dependence of the circuit size, circuit depth on the interaction and connection between different qubits present in quantum hardware are discussed. A noise-aware procedure is presented which helps in determining the optimal interactions between different qubits of a quantum chip to execute a given circuit in the most efficient way possible. In this article, the 5-qubit hardware in a noiseless setting is illustrated with an example. Also, a benchmark-driven analysis is performed to show the importance of noise adaptivity in determining the hardware reliability. It is concluded that a generalized and flexible procedure such as this approach can aid in determining the design of hardware accurately for which the circuit runs efficiently, that is, with the least number of clock cycles, the lowest gate operations, and noise-based errors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

Multimedia security is a vital sector due to its significant impact on the development of industry 5.0. The current multimedia security systems depend on complex mathematical calculations, proven theoretically and practically in their inability to provide complete protection of information against internal and external attacks and penetration attempts. Unfortunately, the advancement of the quantum computer allowing the decryption of secured multimedia data by classical cryptographic algorithms will influence smart industries since no one can imagine the actual processing power of the quantum computer. Therefore, we have developed an efficient quantum image encryption technique for multimedia applications using generalized affine transform and logistic map. The designed generalized quantum circuits for the developed approach are tested and evaluated using the IBM cloud-based quantum computer. The proposed algorithms' performance and computational complexity analysis are measured and proved its efficiency against various criteria. Furthermore, a hybrid approach to reduce the circuit complexity and quantum cost using the Espresso algorithm to approximately 50% for the cost of adding one more qubit to the circuit is presented. Finally, the robustness and security analysis against various noise attacks proved that the proposed quantum image encryption method forms a secured and accurately measurable quantum image processing system.

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