Beyond Binary: The Capabilities of Classical and Quantum Computing for Securing Data Transmission

. In the present times, the demand for sophisticated encryption methods has escalated, especially for securing data transmission in vulnerable environments. These methods leverage diverse algorithms to fortify the integrity of communication channels. Quantum mechanics plays a pivotal role in two specific areas: quantum key distribution and property-based cryptography, both of which contribute to establishing secure communication protocols. This study focuses on conducting a comparative evaluation of classical and quantum cryptography, employing various cryptography algorithms. The objective is to ascertain the optimal algorithm within each realm classical and quantum cryptography for ensuring robust security.


Introduction
In general, computational mechanics can be categorized into two distinct paradigms: classical mechanics and quantum mechanics [1].Within classical computational mechanics, an object's position and time are precisely determined.However, in the realm of quantum computing, objects reside in a realm of probabilistic ambiguity.This signifies that objects hold potential to occupy either point A or point B. *Corresponding author: ramesh680@gmail.comTheoretically, quantum computers are more intricate compared to their classical counterparts, yet they offer heightened computational potential.Conversely, classical computers exhibit limited computing power in comparison to quantum computers and face challenges in seamless scalability [2][3].

Classical vs Quantum
The CP-ABE & QKD Algorithm provides privacy and security over the different applications such as cloud, IoT, Ect.[4][5][6][7].Eavesdropping will be the process of easily monitoring any classic private channel without the knowledge of the sender or receiver.
Applying the principles of macroscopic object theory alongside classical physical phenomena, like radio signals, presents an avenue for non-invasive measurement of an object's physical attributes without causing disruption to other properties.This key aspect involves computations that extract such information from signals or objects endowed with these physical traits.In contrast, classical cryptography harbors an inherent vulnerability to passive eavesdropping, a susceptibility that remains open and potentially exploitable.
Quantum theory is the basis of quantum cryptography and will guide all objects, the consequences of which will be noticed mainly in microscopic systems such as individual atoms or subatomic particles.Computing power doubles every 18 months, IT costs

Technologies and Algorithms Used
The exponential growth in the number of connected devices today produces a plethora of data.Therefore, data privacy has become a major concern in CC.We use this CP-ABE policy because the security of the data generated has become a major concern to guarantee the security of transactions on the Internet.Here, the ciphertext is analyzed according to the input model and with less time and space than the private key character [8]

Related Work
The IoT's limited resources mean that cloud computing is often used to handle the large amounts of data produced by IoT devices [15,16].However, using the cloud It can compromise user privacy and lead to data breaches.To solve these problems, Attribute-Based Encryption (ABE) is one of the best ways to provide greater security for data stored in the cloud.Quantum key distribution (QKD) is a secure communication method for exchange of cryptographic keys between parties.It uses the features of quantum physics to exchange encryption keys in a proven and secure way.
The combination of dynamic nonlinear polynomial chaotic quantum hash technology and secure blockchain structure can enhance cloud data security while protecting user privacy [9].The proposed method uses dynamic chaotic mapping functions for key initialization, encryption and decryption.The simulation results show that this method is more accurate than the current model in terms of minor changes and significant signs.encryption, and decryption time.[10] In this paper the authors explored a novel algorithm centered around blind quantum computing, aimed at fortifying the communication between a data owner and a cloud service provider (CSP).Additionally, we enhanced the hierarchical attribute-based encryption (ABE) algorithm by integrating BCQ (Blind Quantum Computing) key sharing.This integration serves to streamline user data sharing and group access to cloud-stored data.The experimental findings showcased the effectiveness of our approach, surpassing the efficiency of prior enhancements made to the CP-ABE (Cipher Policy Attribute-based Encryption) technique.In [11][12][13][14] the authors have been discussed the resumption of the median form and its physical Believable resumption results Quantum deformed double and triple positive potential.Although the limited instantons do not cause the energy spectrum in the quasi-classical order of quantum deformations, they can cause some quantum deformations where energy level correlation occurs.If the deformation is not well quantified, the instanton effect disappears, but the high degrees in the semi-classical remain.Saddle contributions are classified as fading or robust.Additionally, the paper demonstrates the perturbative/nonperturbative relation in quantum deformed triple-well potential using period integrals and Mellin transform computations.[17] The advancement in electronic communication has led to a need for secure data transmission, and key distribution algorithms are crucial in modern cryptography.The RSA and Diffie-Hellman are two classical algorithms used for key distribution, which rely on mathematical manipulations involving large prime numbers.These algorithms are designed to provide strong security measures and make it practically impossible to break the encryption within a reasonable timeframe.[18] This paper discusses how quantum mechanics reveals Physical information is separate because the properties of quantum mechanics are the only properties that can be seen in the context of physical interactions and from a single point of view.He argues that Hermann's solution to the objective problem of quantum mechanics is based on neo-Friesian theory, if not a solution from Kant's doctrine of word discipline.
A mathematical framework that unifies stochastic processes and quantum mechanics, demonstrating that non-relativistic quantum mechanics of a single particle on a flat space can be described by a rotated Wiener process [19].The framework is then extended to relativistic stochastic theories on manifolds using second order geometry.The paper also shows that consistent path integral formulations of quantum theories on Lorentzian (Riemannian) manifolds require an Itˆo deformation of Poincar´e (Galilean) symmetry due to the coupling of the quadratic variation to the affine connection.[20][21][22][23][24] Without direct control over the data stored in the data center, cloud users face security challenges that create integrity, confidentiality, security and privacy concerns.Addressing the previously outlined difficulties, this article an innovative solution: the Quantum Hash-centric Cryptographic Policy Attribute-based Encryption (QH-CPABE) framework.The primary objective of this framework is to bolster the levels of security and confidentiality concerning data within cloud-based applications.The proposed model uses large medical data, and as a recommendation, does not form a large cloud and makes it more efficient, about 92% change bit hashing, chaotic dynamic key generation, encryption and decryption time accuracy about 96% information compared to the traditional model.[24][25][26][27][28][29] The paper proposes the implementation of Quantum Key Distribution (QKD) algorithm using photon polarization property for ultimate security assurance.
A complex and expensive experimental setup is used to generate photon stream with laser light and stepper motor with arduino for polarization..The algorithm allows for the aring of secure keys while detecting any attempt of eavesdropping.[30][31][32][33][34][35][36] Across the globe, cloud providers facilitate the migration of cloud-based applications, software, and substantial data repositories into expansive data centers.However, a notable dilemma emerges as cloud users lack direct oversight over the information housed within these data centers.This absence of control leaves them uncertain about the safeguarding, confidentiality, integrity, and privacy of their vital data.This distinctive aspect of cloud services gives rise to a plethora of intricate security concerns and potential conflicts [37][38][39][40].
Addressing the pressing security challenges, we present an innovative solution: the Quantum Hash-centric Cipher Policy-Attribute-based Encipherment (QH-CPABE) framework.This framework serves to elevate the levels of security and privacy surrounding sensitive data stored within the cloud.Our approach encompasses both structured and unstructured clinical data within the cloud environment.Empirical findings underscore the precision of our proposal, boasting an impressive accuracy rate of approximately 92% for bit hash alteration detection and around 96% for the generation of dynamically chaotic keys.Moreover, our framework outperforms established benchmarks in terms of efficiency, as evidenced by the expedient encryption and decryption times in comparison to conventional standards documented in existing literature.

Qhcpabe For Key Generation Algorithm
The QHCPABE algorithm combines QKD standard for the generation of dynamic randomized keys with HCPABE standard for effective encryption.

Comparisons and Results
After a comparative analysis of classical and quantum computers, the following conclusions can be drawn: • Classical computers are based on binary bits, while quantum computers use A qubit that can exist in more than one state at the same time.
• Quantum computers exhibit the capability to outpace conventional counterparts in solving specific problems, particularly within cryptography and optimization domains.Nonetheless, the progression of quantum computing remains at an early developmental phase, and commercial availability of such computing power has not yet been realized.Classical computers were efficient and widely used, performing many tasks efficiently and reliably.
The programming languages used for classical and quantum computers are different, and programming a quantum computer requires specialized knowledge and expertise.Quantum computers are very sensitive to external factors such as noise and interference which can affect their performance

Conclusion
In conclusion, although quantum computers have the potential to revolutionize computing, it's crucial to acknowledge that these machines are currently in their early phases of development and have limitations that need to be addressed.Classical computers, on the other hand, were built and widely used to perform various tasks efficiently and reliably.Ultimately, the choice between using a classical computer or a quantum computer will depend on the specific requirements of the task at hand and the state of the art in the field.

Table 2 :
Comparative Analysis of Various Schems w.r. to Computational time