## 2 Literature Survey
With the goal of reducing mistakes and maintaining the integrity of the sent information, the framework employed baseband modulation, an In-phase and Quadrature (IQ) modulator, and radio frequency heterodyne detection to improve the accuracy of quantum state management. An encouraging frame error rate of 0.962 was achieved in the experimental study of this method, indicating a high degree of accuracy and dependability in the system's operation. Regardless of these achievements, the suggested system had a serious flaw in its limited transmission range, which could make it unsuitable for long-distance CV-QKD deployments. Given this restriction, the requirement of additional effort to increase the system's range was noted, while preserving its leakage-free properties and reducing error rates. An approach to noiseless attenuation known as Continuous Variable Measurement-Device-Independent Quantum Key Distribution (CV-MDI-QKD) was proposed in [20], based on quantum catalysis, more specifically Zero-Photon Catalysis (ZPC). By strengthening the key distribution mechanism and enhancing the transmission of quantum information, this novel approach sought to improve the efficiency of CV-MDI-QKD. The resultsfrom experiments showed its out performance compared to conventional methods, in terms of secret key rate and secure transmission distance. Despite these improvements, the suggested system had a flaw. Additional research into generalizing the quantum catalysis approach and integrating it into a broader range of protocols is needed to fill this knowledge gap and for improvements in the performance and security of CV-QKD protocols. In order to identify assaults on CV-QKD systems, [21] created a framework that uses a Deep Neural Network (DNN) to retrieve minimal internal information from the networks that are being targeted. A search for weaknesses in the distribution of quantum keys triggered hope of strengthening the safety of CV-QKD systems with this method. In order to improve the system's detection capabilities, the framework integrated numerous DNNs with differential evolution. This allowed the adaptation and identification of attacks of different varieties. Based on the experimental results, the suggested method outperformed other current approaches in attack detection, indicating its potential to enhance the security of CV-QKD systems. Nevertheless the necessity for additional study was noted, to resolve remaining concerns and improve the system's overall robustness, as the system was not immune to some security vulnerabilities, even with its excellent detection performance. The goal of the system in [22] was to improve the security of transmitted quantum information through detection of side-channel attacks in quantum key distribution (QKD) systems. Before converting to quantum bits (q-bits), the framework employed Shifting and Binary Conversion techniques to make the hidden information more complicated. This extra degree of complexity was added to further safeguard the data against any side channel vulnerabilities, making it more difficult for an attacker to obtain meaningful information from the system. The proposed approach provided stronger security levels and enhanced resilience against side-channel assaults, according to the experimental results, which surpassed existing systems. Nevertheless, the system's high computational cost and precision loss are major drawbacks that reduce its usefulness in real-time QKD systems, particularly in settings with scarce computational resources. Examination of the sources of noise that impacted the system's performance [23] helped showcase of an approach for CV-QKD, which stands for Gaussian Modulated Coherent State. In order to determine secure key rates at GHz bandwidth, the framework used a balanced homodyne detector to measure noise. This technology enabled exact detection of quantum states to guarantee secure key creation in the system.