Quantum Computing: Revolutionizing Technology Through Quantum Mechanics 1.pptx
SandeshA15
0 views
8 slides
Oct 12, 2025
Slide 1 of 8
1
2
3
4
5
6
7
8
About This Presentation
Classical computers and quantum computers are very different. While classical computers process information in a linear and deterministic way, quantum computers handle it probabilistically. This means quantum computers can solve complex problems—like encryption, molecular simulation, or optimizati...
Classical computers and quantum computers are very different. While classical computers process information in a linear and deterministic way, quantum computers handle it probabilistically. This means quantum computers can solve complex problems—like encryption, molecular simulation, or optimization—much faster than traditional systems. However, quantum computing doesn’t replace classical computing; it complements it by solving problems that are too hard or time-consuming for normal computers.
Quantum computing has a wide range of applications. It can help discover new drugs by simulating molecules, improve cybersecurity by breaking or strengthening encryption, speed up machine learning in artificial intelligence, and even improve weather forecasting and financial modeling. Companies like IBM, Google, and Microsoft are already heavily investing in this field.
Size: 34.25 KB
Language: en
Added: Oct 12, 2025
Slides: 8 pages
Slide Content
Quantum Computing Seminar Presentation by gk
Introduction Quantum Computing is an advanced form of computation that uses the principles of quantum mechanics. It performs operations on data using quantum bits or qubits, which can exist in multiple states simultaneously.
Classical vs Quantum Computing • Classical computers use bits (0 or 1). • Quantum computers use qubits (0, 1, or both simultaneously). • Quantum computers can process massive amounts of data faster due to parallelism.
Key Concepts in Quantum Computing 1. **Qubits** – Quantum version of bits. 2. **Superposition** – A qubit can be both 0 and 1 at the same time. 3. **Entanglement** – Qubits become linked, allowing instant correlation. 4. **Quantum Interference** – Helps amplify correct results.
Applications of Quantum Computing • Artificial Intelligence and Machine Learning • Drug Discovery and Healthcare • Cybersecurity and Cryptography • Financial Modeling • Optimization Problems
Challenges in Quantum Computing • Quantum decoherence – Qubits lose their quantum state easily. • Error correction – Maintaining accuracy is tough. • High cost of quantum hardware. • Need for extremely low temperatures.
Future of Quantum Computing Quantum computing has the potential to revolutionize industries by solving problems that are impossible for classical computers. With major tech companies like IBM, Google, and Microsoft investing in this field, the future looks promising.
Conclusion Quantum computing is not just the future—it’s the next revolution in computing. While still developing, it promises breakthroughs in AI, healthcare, and cryptography.