This paper investigates the intriguing potential of integrating Vedic Computing—a system of computing principles originating from ancient Indian texts—into the realm of quantum computing. While quantum computing offers unprecedented computational capabilities, leveraging ancient vedic wisdom could pave the way for enhanced efficiency and novel solutions.Through a comprehensive exploration, we examine the application of Vedic computing techniques in various facets of quantum computing. Firstly, we delve into algorithm development, exploring how Vedic sutras and computational methods could inspire the creation of quantum algorithms with improved speed and scalability. Secondly, we investigate the role of Vedic computing in quantum error correction. Given the inherent fragility of quantum states, robust error correction mechanisms are crucial for the reliability of quantum computers. We explore the potential of Vedic principles to contribute to the development of innovative error correction codes and strategies. Furthermore, we explore the intersection of Vedic number theory and quantum cryptography. With the advent of quantum computing, conventional cryptographic methods face threats from quantum algorithms like Shor's algorithm. We investigate how Vedic insights into number theory could inform the design of quantum-resistant cryptographic protocols.Additionally, we consider the application of Vedic optimization techniques in quantum computing. Quantum computers excel at solving optimization problems, and incorporating Vedic optimization principles could further enhance their performance in diverse domains such as logistics, finance, and artificial intelligence. Through theoretical analysis and computational simulations, we demonstrate the potential synergies between Vedic Computing and quantum computing. This interdisciplinary approach not only enriches the understanding of both fields but also opens new avenues for exploration and innovation at the intersection of ancient wisdom and modern technology. Keywords: Vedic mathematics, Vedic Computing, quantum computing, algorithm development, error correction, cryptography, optimization 1. Introduction The convergence of ancient wisdom and cutting-edge technology has always been a fertile ground for innovation. In the realm of computing, this intersection takes on a particularly intriguing dimension with the fusion of Vedic Computing—a system of mathematical principles originating from ancient Indian texts—and quantum computing, a revolutionary paradigm promising exponential computational power. 2 Vedic mathematics, dating back thousands of years, offers a treasure trove of computational techniques characterized by their simplicity, elegance, and efficiency. These techniques, encapsulated in Vedic sutras (aphorisms), have historically been applied in diverse fields ranging from astronomy, Machine learning and architecture to commerce and cryptography. Quantum computing, on the other hand, harnesses the principles of quantum mechanics to perform calculations that were previously thought to be infeasible for classical computers. This paper explores the potential synergies between Vedic Computing and quantum computing, seeking to unlock new avenues for innovation and advancement in computational science. The integration of Vedic computing principles into the framework of quantum computing holds the promise of enhancing algorithmic efficiency, improving error correction capabilities, bolstering cryptographic security, and optimizing problem-solving techniques. Through a multidisciplinary lens, we delve into various aspects of this convergence. We examine how Vedic algorithms and computational methods could inspire the development of quantum algorithms with superior performance and scalability. Additionally, we explore the applicability of Vedic insights to enhance error correction mechanisms in quantum systems, addressing the inherent challenges posed by quantum decoherence and noise. Furthermore, we investigate the intersection of Vedic number theory and quantum cryptography, aiming to fortify cryptographic protocols against the impending threat of quantum algorithms. Additionally, we explore how Vedic optimization techniques could augment the problem-solving capabilities of quantum computers, offering transformative solutions across domains such as logistics, finance, and artificial intelligence. Through theoretical analysis, computational simulations, and practical experimentation, we seek to illuminate the potential benefits and challenges of integrating Vedic Computing into the realm of quantum computing. By bridging ancient wisdom with modern technology, this interdisciplinary exploration not only enriches our understanding of both fields but also charts a course towards pioneering advancements at the forefront of computational science. This paper is structured as follows: In the next section, the brief overviews of Vedic Mathematics and Vedic Computing are presented. In section 3, the high lights of Quantum computing are presented. . In the section 4, applications of Vedic Computing to Quantum Computing are presented. The conclusions are presented in the section 5. 2. Overview of Vedic Mathematics and Vedic Computing Vedic mathematics(VM) consists of mathematical techniques and principles that was developed in ancient India, primarily from the Vedas[11]. These were further refined into VM in the early 20th century by mathematicians[1-4, 14]. The core of Vedic mathematics lies in its simplicity, efficiency, and elegance in solving complex mathematical problems. Unlike conventional techniques practiced in present day mathematics, which often involve multiple steps and complex procedures, VM offers short cuts and simplifications that speedup calculations and help mental arithmetic. The VM provides a unique outlook on mathematical problem-solving, prominent by its simplicity, efficiency, and versatility. By adapting concepts and techniques from VM into mathematical education and practice, users can enhance their computational skills, develop mathematical intuition, and appreciate the mathematical concepts and techniques. 3 The Vedic computing paradigm is a system of mathematical and computational principles derived from ancient Indian scriptures known as the Vedas. It encompasses a holistic approach to problem-solving and computation, stressing simplicity, efficiency, and intuitiveness[8, 12, 13]. The core of Vedic computing is the application of sutras found within the Vedas, particularly in texts like the Sulba Sutras, which contain mathematical concepts and techniques. The Vedic computing provides a new perspective on computation, rooted in ancient wisdom yet suited to current day challenges. By adapting the principles of simplicity, efficiency, and holistic understanding, practitioners of Vedic computing can unlock new avenues for innovation and problem-solving in the digital age. 3. Overview of Quantum Computing Quantum computing represents a revolutionary approach to computation that leverages the principles of quantum mechanics to perform calculations[9,10]. Unlike classical computers, which process information in binary bits (0s and 1s), quantum computers use “qubits”, which can exist in several states simultaneously due to principle of superposition. This enhances quantum computer capability to explore many possible solutions to a problem simultaneously, thus enhancing their computational power for certain types of tasks. Key concepts in quantum computing include:  Superposition: Qubits can exist in a superposition of states, meaning they can represent both 0 and 1 simultaneously. This allows quantum computers to perform many calculations in parallel.  Entanglement: Qubits can become entangled, meaning the state of one qubit is dependent on the state of another, even if they are physically separated. Entanglement allows quantum computers to perform operations on multiple qubits simultaneously.  Quantum Gates: Similar to classical logic gates, quantum gates manipulate qubits to perform operations. However, quantum gates can operate on qubits in superposition, enabling complex quantum computations.  Quantum Algorithms: Quantum algorithms exploit the unique properties of quantum mechanics to solve certain problems more efficiently than classical algorithms. Examples include Shor's algorithm for factoring large numbers and Grover's algorithm for searching unsorted databases.  Quantum Error Correction: Quantum systems are susceptible to errors due to decoherence and noise. Quantum error correction techniques aim to mitigate these errors and maintain the integrity of quantum computations. Quantum computing holds immense promise for a wide range of applications, including:  Cryptography: Quantum computers have the potential to break conventional cryptographic schemes, but they can also enable the development of quantum-resistant encryption methods[15].  Optimization: Quantum computers excel at solving optimization problems, with applications in fields such as logistics, finance, and machine learning. 4  Simulation: Quantum computers can simulate quantum systems more efficiently than classical computers, offering insights into molecular modeling, drug discovery, and materials science.  Machine Learning: Quantum machine learning algorithms could unlock new capabilities in data analysis, pattern recognition, and optimization tasks[16]. While quantum computing is still in its early stages, significant progress has been made in recent years, with companies, research institutions, and governments investing in quantum hardware, software, and algorithms[17]. As the field continues to advance, quantum computing has the potential to revolutionize computation and address complex problems that are beyond the reach of classical computers. 4. Application of Vedic Computing to Quantum Computing The application of Vedic Computing to quantum computing presents an intriguing avenue for exploration at the intersection of ancient mathematical wisdom and cutting-edge quantum technologies[18]. Vedic mathematics, originating from ancient Indian texts such as the Vedas, offers a collection of mathematical techniques known for their simplicity, elegance, and efficiency. These techniques, which include mental calculation methods and mathematical shortcuts, have been historically applied across various fields, from arithmetic and algebra to geometry and trigonometry. In the context of quantum computing, the application of Vedic Computing could potentially offer several benefits and opportunities:  Algorithmic Optimization: Vedic mathematics provides efficient algorithms for arithmetic operations, such as multiplication, division, and exponentiation. These algorithms could be adapted and optimized for quantum computing, where computational efficiency is crucial due to the inherent limitations of quantum hardware.  Quantum Gate Implementations: Quantum gates are fundamental building blocks in quantum circuits, analogous to classical logic gates. By leveraging Vedic mathematical principles, researchers could devise new quantum gate implementations that are more resource-efficient or exhibit improved performance characteristics.  Error Correction Strategies: Quantum error correction is essential for maintaining the fidelity of quantum computations in the presence of noise and decoherence. Vedic mathematics may offer insights into novel error correction strategies or coding techniques that enhance the resilience of quantum systems.  Quantum Algorithm Development: Vedic Computing emphasizes patterns, symmetry, and systematic approaches to problem-solving. These principles could inspire the development of new quantum algorithms or optimization techniques for solving specific computational tasks more efficiently.  Educational Tools and Pedagogy: Incorporating elements of Vedic Computing into quantum computing education and outreach efforts could provide students and researchers with alternative perspectives and problem-solving techniques. This interdisciplinary approach may foster creativity and innovation in the quantum computing community. 5 While the direct application of Vedic Computing to quantum computing is still an emerging area of research, the synergy between these two fields holds promise for advancing computational science and unlocking new capabilities in quantum information processing. Future investigations may focus on identifying specific Vedic Computing techniques that are particularly well-suited for quantum computing applications and exploring their practical implementation and effectiveness in quantum algorithms and systems. 5. Conclusion In conclusion, the integration of Vedic Computing with quantum computing represents a fascinating and promising avenue for interdisciplinary exploration. The rich heritage of Vedic mathematics, characterized by its elegant algorithms and efficient problem-solving techniques, offers a valuable resource for enhancing various aspects of quantum computation. Through this synthesis, quantum computing stands to benefit in several ways. Vedic algorithms optimized for mental calculation and arithmetic operations could streamline quantum algorithm design, leading to more efficient solutions for complex computational problems. Additionally, insights from Vedic Computing may inspire innovative approaches to quantum gate implementations, error correction strategies, and algorithmic optimization, thereby improving the performance and reliability of quantum systems. Furthermore, the fusion of Vedic Computing and quantum computing has the potential to enrich education and outreach efforts in both fields. By incorporating Vedic Computing principles into quantum computing curricula, students and researchers can gain alternative perspectives and problem-solving strategies, fostering creativity and innovation in quantum information science. While challenges and complexities undoubtedly lie ahead, the exploration of Vedic Computing in the context of quantum computing offers a promising path towards unlocking new frontiers in computational science. Continued research and collaboration in this interdisciplinary space will be essential for realizing the full potential of this synergistic relationship and advancing quantum computing towards practical applications and transformative breakthroughs. As we journey forward, let us embrace the wisdom of the past to propel us into a future where ancient knowledge and modern technology converge to shape the forefront of computational innovation. Acknowledgement: The various AI and Plagiarism tools have been utilized extensively in writing this paper: chatgpt, Turnitin, Grammarly, Bard etc.