Quantum tunneling and Computer Engineering

In summary, quantum computing has the potential to outperform classical computers, which could limit the progression of AI. However, this does not mean that the design of intelligent systems will no longer be relevant. As programming languages continue to evolve and become more powerful, the fundamentals of programming will remain the same and people will still need to use them to think and create. Therefore, pursuing a career in AI as a Computer Engineer will not become obsolete due to quantum computing.
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It is a theory, but quantum computing could most likely out perform classical computers. In this regard, would it limit the progression of AI if it could go beyond classical computing? Assuming that quantum computing catches up and out performs classical computers, will computer engineers have been taught skills to a level where they can apply quantum computing towards AI? I am worried that pursuing a career as a Computer Engineer in AI will be obsolete due to quantum computing in the next few decades.
 
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I am by no means an expert here, but I think that if quantum computing were one day to be aplicable it would result in a giant leap in computing speed and memory capabilities, this does not mean that the actual design of intelligent systems will no longer be relevant.
 
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If you're into programming things in assembly, then maybe you should be worried. But nobody does that anymore, unless they REALLY need to optimize their speed. Today's programming languages are obfuscated to the point where the language has little if anything to do with the technology that supports it.

Programming AI will be obsolete when computers can write programs for us, and do our thinking for us. You have to be able to ask your computer a question, have it understand what you're asking, and be capable of calculating the results and presenting it to you in a meaningful way. Until then, people are going to have to be doing the thinking, and they're going to use programming languages to do it.

Now, languages have been getting progressively more powerful-- so they're becoming more object oriented and versatile, where older programming languages focused on more atomic actions. But the fundamentals are still very similar.

DaveE
 

Related to Quantum tunneling and Computer Engineering

1. What is quantum tunneling and how does it relate to computer engineering?

Quantum tunneling is a phenomenon in which a particle has the ability to pass through a potential barrier, even if it does not have enough energy to overcome the barrier. In computer engineering, this concept is utilized in quantum computing, where quantum bits (qubits) can exist in multiple states simultaneously, allowing for faster and more efficient computing processes.

2. Can quantum tunneling be used in traditional computer systems?

No, quantum tunneling is a principle that is specific to the quantum realm and cannot be applied to traditional computer systems. However, some computer engineering techniques, such as quantum cryptography, use the principles of quantum tunneling for secure communication.

3. How does quantum tunneling impact the development of computer hardware?

Quantum tunneling has a significant impact on the design and development of computer hardware, particularly in the field of nanotechnology. As electronic components continue to shrink in size, quantum tunneling becomes a major concern as it can cause interference and affect the performance of these components.

4. Are there any limitations to quantum tunneling in computer engineering?

Yes, there are limitations to quantum tunneling in computer engineering. One major limitation is the issue of decoherence, where the fragile quantum state of qubits can be disrupted by external factors, leading to errors in computation. Additionally, the technology for creating and controlling qubits is still in its early stages, making it challenging to implement in practical applications.

5. How is quantum tunneling being utilized in current computer engineering research?

Quantum tunneling is being used in various research areas within computer engineering, such as quantum computing, quantum cryptography, and quantum sensors. Scientists are also exploring the potential of utilizing quantum tunneling in the development of new types of transistors and memory devices for more advanced and efficient computer systems.

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