Quantum Computing PPT BY PREM AND ABI.pptx

Quantum computing leverages the principles of quantum mechanics, such as superposition and entanglement, to solve complex problems that are intractable for classical computers. It uses qubits, which can represent 0, 1, or a combination of both, allowing for exponentially greater information processing power

1. QUANTUM COMPUTING IN FUTURE PRESENTED BY ABINAYA K & PREMRAJ M DEPARTMENT OF COMPUTER APPLICATIONS ANNAI COLLEGE OF ARTS AND SCIENCE KUMBAKONAM

2. AGENDA ABSTRACT INTRODUCTION WHAT IS QUANTUM COMPUTING QUANTUM ALGORITHM FUTURE APPLICATIONS OF QUANTUM COMPUTING REFERENCES CONCLUSION

3. ABSTRACT Quantum computing is a new type of computing that uses the strange properties of quantum mechanics to solve problems much faster than today’s computers. This technology has the potential to transform industries like medicine, cyber security, and artificial intelligence by solving complex problems that are too difficult for current computers. Although quantum computing holds great promise, there are still big challenges to overcome, such as making these computers stable and reliable for everyday use. This paper looks at the progress being made in quantum computing, the challenges that remain, and how combining quantum computers with traditional computers could help unlock its full potential. The future of quantum computing could change the way we work, research, and solve problems, but it will take time and collaboration from many fields to make it a reality.

4. INTRODUCTION Quantum computing is a new and exciting area of computing that takes advantage of the unusual and fascinating principles of quantum mechanics—the science that explains how very small particles like atoms and photons behave. Unlike traditional computers, which process information in bits (either 0 or 1), quantum computers use quantum bits, or qubits, which can exist in multiple states at once, thanks to a property called superposition This allows quantum computers to handle a much larger amount of information at the same time, making them potentially much more powerful .

5. What is QUANTUM COMPUTING ? Quantum computing is an area of computer science that uses the principles of quantum theory. Quantum theory explains the behavior of energy and material on the atomic and subatomic levels. Quantum computing uses subatomic particles, such as electrons or photons. Quantum computing has the capability to sift through huge numbers of possibilities and extract potential solutions to complex problems and challenges. Where classical computers store information as bits with either 0s or 1s, quantum computers use qubits 5

6. According to IBM,  it's what a qubit can do rather than what it is that's remarkable. A qubit places the quantum information that it contains into a state superposition. Entanglement it is integral to quantum computing power. Pairs of qubits can be made to become entangled . This means that the two qubits then exist in a single state. Features of Quantum Computing SUPERPOSITION ENTANGLEMENT DECOHERENCE A qubit (short for "quantum bit") is the basicunit of information in quantum computing, similar to how a regular bit is the basic unit in classical computing QUBIT 6

7. 1 2 3 4 5 Quantum computers use quantum bits or qubits, which can exist in multiple states simultaneously due to superposition. Classical computers use classical bits that can only represent either 0 or 1. Qubits can exist in a superposition of states, which means they can represent both 0 and 1 at the same time. This allows quantum computers to explore multiple possibilities in parallel. Qubits can be entangled, meaning the state of one qubit is dependent on the state of another, regardless of the distance between them. Quantum computers use quantum gates to manipulate qubits. These gates can perform operations on qubits in superposition, taking advantage of quantum properties to perform calculations. Quantum computers use specialized quantum algorithms to solve certain problems more efficiently than classical algorithms. what is Quantum Computing

8. QUANTUM COMPUTING ALGORITHM SHOR’S ALGORITHM GROVER’S ALGORITHM QUANTUM FOURIER TRANSFORM (QFT) QUANTUM SIMULATION ALGORITHMS VARIATIONAL QUANTUM ALGORITHMS (VQE) QUANTUM MACHINE LEARNING ALGORITHMS

9. What are the applications of quantum computing ? The quantum computer is able to crunch enormous data, which includes molecular activity in one being. This ability enables the computer to create very accurate simulations of real life events, such as photosynthesis. Instead of calculating a problem at a time, this computing approach solves various probabilities. Through such a system, you can see how each option can provide the most advantages. Thus, you can optimize that option Cryptography involves difficult mathematical problems such as discrete algorithms and integer factorization. These problems take a long time to solve. However, a computer with quantum principles can do it quickly Although the conventional computer has evolved so much over the past decades, data search still takes too long sometimes. Quantum principles are capable of speeding up this data search process, especially if the search is unstructured. 1 2 3 4 Simulation Optimization Cryptography Data search 9

10. FUTURE APPLICATIONS OF QUANTUM COMPUTING Cryptography and Security Environmental Impact Machine Learning and AI Traffic and Transportation Optimization Problems

11. Entanglement Superposition Quantum Gates Quantum Gates Quantum Algorithms Measurement How do Quantum Computers work Quantum Computers

12. REFERENCES [1] Memon , Q. A., Al Ahmad, M., & Pecht , M. (2024). Quantum computing: navigating the future of computation, challenges, and technological breakthroughs.  Quantum Reports ,  6 (4 ), 627-663 . [2] AbuGhanem , M. (2024). Google Quantum AI's Quest for Error-Corrected Quantum Computers.  arXiv preprint arXiv:2410.00917 . [3]Gill , S. S., Kumar, A., Singh, H., Singh, M., Kaur, K., Usman, M., & Buyya , R. (2022). Quantum computing: A taxonomy, systematic review and future directions.  Software: Practice and Experience ,  52 (1), 66-114 . [4] Bravyi , S., Dial, O., Gambetta, J. M., Gil, D., & Nazario , Z. (2022). The future of quantum computing with superconducting qubits.  Journal of Applied Physics ,  132 (16). 12

13. [5]Möller , M., & Vuik, C. (2017). On the impact of quantum computing technology on future developments in high-performance scientific computing.  Ethics and information technology, 19, 253-269. [6] Egger , D. J., Gambols, C., Marecek, J., McFaddin, S., Mevissen, M., Raymond, R., ... & Yndurain, E. (2020). Quantum computing for finance: State-of-the-art and future prospects. IEEE Transactions on Quantum Engineering, 1, 1-24 . [7]Deng , Z., Wang, X., & Dong, B. (2023). Quantum computing for future real-time building HVAC controls. Applied Energy, 334, 120621 . [8]Horowitz , M., & Grumbling, E. (Eds.). (2019). Quantum computing: progress and prospects. 13

14. CONCLUSION Quantum computing is a groundbreaking technology with the potential to transform industries by solving problems that classical computers cannot handle efficiently. With the power of qubits , superposition, and entanglement, quantum computers can process vast amounts of information at incredible speeds. While challenges such as error correction, hardware stability, and scalability still exist, ongoing research by leading tech companies and scientists is bringing us closer to practical quantum computing. 14

15. Question and answer 15

16. THANK YOU DONE BY PREMRAJ.M & ABINAYA.K DEPARTMENT OF COMPUTER APPLICATIONS ANNAI COLLEGE OF ARTS AND SCIENCE KUMBAKONAM 16