Introductions to quantum computing

In summary, quantum computing is a branch of computer science that uses principles of quantum mechanics to process and store information. It differs from classical computing in its use of qubits, which can represent multiple states at once, and quantum algorithms, which can solve certain problems much faster. The potential applications of quantum computing include cryptography, drug discovery, financial modeling, and artificial intelligence. It is currently being developed and used for research purposes, but faces challenges such as the fragility of qubits and the need for specialized environments. However, progress is being made in addressing these challenges.
  • #1
CPL.Luke
441
1
are there any introductions out there which are aimed for physicists?

I ask as its really interesting to me however I have very little background in comp sci or EE
 
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  • #3


Yes, there are certainly introductions to quantum computing that are aimed at physicists. Some popular ones include "Quantum Computing for Computer Scientists" by Noson S. Yanofsky and Mirco A. Mannucci, "Quantum Computing: A Gentle Introduction" by Eleanor Rieffel and Wolfgang Polak, and "Quantum Computing: From Linear Algebra to Physical Realizations" by Mikio Nakahara and Tetsuo Ohmi. These books offer a good balance of theoretical concepts and practical applications, and assume a basic understanding of quantum mechanics but not necessarily a strong background in computer science or electrical engineering. Additionally, there are many online resources and courses available that cater to a physicist audience, such as the MIT OpenCourseWare course "Introduction to Quantum Computing" and Quantum Computing for the Very Curious. With some dedication and self-study, anyone with an interest in quantum computing can learn more about this exciting field.
 

Related to Introductions to quantum computing

1. What is quantum computing?

Quantum computing is a branch of computer science that uses principles of quantum mechanics to process and store information. Unlike classical computers, which use binary bits to represent information, quantum computers use quantum bits (qubits) that can represent multiple states at once, allowing for more complex calculations and faster processing speeds.

2. How does quantum computing differ from classical computing?

Quantum computing differs from classical computing in several ways. Firstly, while classical computers use binary bits that can only represent either a 0 or 1, quantum computers use qubits that can represent multiple states simultaneously. Additionally, quantum computers use quantum algorithms, which take advantage of the superposition and entanglement properties of qubits, to solve certain problems much faster than classical computers.

3. What are the potential applications of quantum computing?

Quantum computing has the potential to revolutionize many fields, including cryptography, drug discovery, financial modeling, and artificial intelligence. It can solve complex optimization problems, simulate quantum systems, and perform fast database searches, among other applications.

4. How is quantum computing being developed and used currently?

Quantum computing is still in its early stages and is being developed by various companies and research institutions around the world. Some have already developed small-scale quantum computers, while others are working on developing more powerful and scalable systems. Currently, quantum computing is being used for research purposes, but there is potential for it to be used in industries such as finance, healthcare, and cybersecurity in the future.

5. What are the challenges facing quantum computing?

One of the biggest challenges facing quantum computing is the fragile nature of qubits. They are easily affected by external interference, making it difficult to maintain their quantum states for long periods of time. Additionally, quantum computers require extremely low temperatures and controlled environments, making them expensive and challenging to build. There are also challenges in developing error correction techniques and scalable quantum algorithms. However, with continued research and development, these challenges are being addressed and progress is being made in the field of quantum computing.

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