
- Quantum Computing - Home
- Quantum Computing - History
- Classical vs Quantum Computing
- Quantum Algorithms
- Quantum Computing - Technology Types
- Quantum Computing - Software Tools
- Quantum Computing Vs. AI
- Quantum Computers - Advantages & Disadvantages
- Quantum Computing - Market Size & Trends
- Quantum Teleportation

Quantum Computing Tutorial
Quantum Computing Tutorial
In this tutorial, we will get to know everything about Quantum computing from the foundations of quantum computing to advanced concepts of quantum computing.
What is Quantum Computing?
Quantum computing is a branch of physics and computer science that provides a new method of computation with the help of quantum physics, for example, entanglement, superposition, interference, and decoherence. They solve difficult problems effectively and easily when compared to any supercomputer. They are high-performing machines based on the methods of quantum theory, which examines the behavior of the smallest particles.
What are Quantum Computers?
Quantum computers are advanced machines on the basis of quantum physics. They use qubits whereas classical computers use the classical bits. Quantum computers are faster than any classical or supercomputers. They solve problems more easily when compared with classical computers.
The first quantum computer with 2 qubits was created in 1998 by Isaac Chuang, Neil Gershenfeld, and Mark Kubinec.
In theory, a classical computer can address the same problems as a quantum computer given enough time. However, the main advantage of quantum computing lies in its ability to handle certain calculations much faster, as demonstrated by quantum complexity theory, which indicates that some quantum algorithms can be exponentially more efficient than the known classical ones. While the idea of quantum supremacy—where quantum computers solve problems that are infeasible for classical computers—is a major focus, practical, real-world applications of this technology are still in development. There’s a lot of excitement about what quantum computing could do in the future, but there’s still a lot of work to be done before we see these systems become a regular part of technology.
In short, quantum computing is an incredibly promising field with the potential to revolutionize how we solve some of the worlds toughest problems. Its an area full of possibilities, but were still in the early stages of figuring out how to make it work on a large scale.
Core Principles of Quantum Computing
Here are the core principles of Quantum Computing
- Superposition − Superposition is a method in quantum computing that describes how the qubits can add two or more states simultaneously.
- Entanglement − Entanglement is the capability of qubits to link their state with other qubits.
- Decoherence − Decoherence means it loses its quantum property due to environmental factors such as electromagnetic radiation
- Interference − Interference tells how subatomic particles interconnect with each other and themselves while in a superposition state.
Applications of Quantum Computing
The following are the areas where quantum computing is used −
- Artificial intelligence − Quantum computing helps Artificial intelligence by enhancing the machine learning algorithms. It reduces the time taken for data processing and training the model.
- Cybersecurity − In the area of Cybersecurity, quantum computing helps to detect threats quickly. With faster analysis, organizations can respond to threats immediately, minimizing damage and reducing recovery time.
- Drug development − Quantum computing improves the understanding of disease through data analysis and develops complex biological models with significant accuracy. They are good at target-finding and has the ability to solve the problem on atomic level.
- Financial modeling − Quantum computing allows real-time risk assessment, builds complex financial models, and helps mitigate the potential risk of capital loss.
- Weather forecasting and climate change − Quantum algorithms can efficiently analyze the data and accurately predict the weather. They are better at understanding the long-term climate trends and potential impacts of climate change.
Prerequisite to Learn Quantum Computing?
Before learning Quantum computing you should have basic knowledge on linear algebra, Probability, and Programming.
Audience: Who can Learn Quantum Computing?
Anyone with an interest in technology and a basic understanding of algebra and programming. Its accessible to students, professionals, researchers, and curious learners alike.
Quantum Computing FAQs
1. Are quantum computers environmentally friendly?
Yes, quantum computers are environmentally friendly as they use the smallest system possible called atoms. In the long run, they don't pose any harm to the environment as they are energy efficient.
2. Is there any growth in Quantum computing?
Many countries like China, the European Union, the United Kingdom, and the United States have already invested a huge amount of around 13 billion US dollars. There is expected rapid growth in quantum computing in future generations.
3. When was the first Quantum Computer invented?
The first quantum computer with 2 qubits was created in the year 1998 by Isaac Chuang, Neil Gershenfeld, and Mark Kubinec.
4. What is the smallest unit of information in quantum computing called?
The smallest unit of information in quantum computing is called Qubits.
5. What are quantum computers good at?
Quantum computers are dealing with uncertainty.
6. Which is faster, a quantum computer or a classical computer?
Quantum computers are faster than any classical and supercomputers as they use the Qubits. They are based on quantum physics.