Quantum Neural Network (QNN) based Realization of XOR gate Using Systematic Quantum Circuit Based Approach

Quantum computing offers transformative potential for information processing, promising solutions to complex problems beyond the reach of classical computers. Central to this field is the development of quantum logic gates, the foundational elements of quantum circuits. This work investigates a systematic method for implementing a quantum XOR gate, a critical logic operation, using quantum neural network architectures. Quantum phenomena like superposition and entanglement offer possibilities for substantial progress in areas such as cryptography, simulations, and optimization. Initial findings using QNNs for a classical XOR classification problem show promising accuracy above 90%. Realizing the full potential of quantum computing requires continued advancements in areas like fault-tolerant qubit engineering, high-fidelity gate operations, and scalable circuit design..