The Rise of Quantum Computing
Exploring the Future of Computation
Agenda
1. Introduction
2. History of Quantum Computing
3. Fundamentals of Quantum Mechanics
4. How Quantum Computers Work
5. Benefits & Applications
6. Challenges & Limitations
7. Future Outlook
8. Conclusion
Introduction
History of Quantum Computing
1980s:
Theoretical foundations laid by visionaries like Richard Feynman and David Deutsch.
1990s:
Development of groundbreaking algorithms (e.g., Shor's algorithm, Grover's algorithm).
2000s to Present:
Rapid experimental advances in qubit technology and prototype quantum processors.
Fundamentals of Quantum Mechanics
Key quantum principles include:
• Superposition:
A qubit can exist in multiple states simultaneously.
• Entanglement:
Qubits become correlated so that the state of one instantly influences another.
• Quantum Interference:
Amplitudes combine to yield probabilities for outcomes.
How Quantum Computers Work
Benefits & Applications
Benefits:
• Exponential speedup for select algorithms
• Ability to solve complex problems in cryptography, optimization, and simulation
Applications:
• Drug discovery and material science
• Financial modeling and risk analysis
• Enhancements in AI and machine learning
Challenges & Limitations
• Qubit decoherence and quantum noise affect stability.
• Scaling quantum systems remains a technological hurdle.
• High costs and specialized operational environments are required.
• Robust error correction is still in development.
Future Outlook
Conclusion