I cann't undestand Quantum Algorithms. How I can?

In summary: But I cann't find the recommendation. Thanks.In summary, Preskill teaches quantum computation at Caltech and Shor has invented an algorithm that can be used to factor numbers. There may be other applications for quantum computers in the future. However, Cartuz is not interested in using a simulation to understand the quantum system, only in realizing the algorithm himself.
  • #1
cartuz
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I cann't understand Quantum Algorithms. How I can?

I have my probabilistic computer's model of Qubits, Entanglement States and Bi-Photons. I have the Simulator of Qubits on classical computer in Pascal. It is classical model and Bell's inequalities does not violet. But it is a good imitation (simulation) of real microobjects. In other words I have the probabilistic analog of qubits. But I cann't use my simulator for quantums algoriths because I don't understand quantum algorithms. Can you describe me in two words where is I can find the concrete simplest task with quantum algorithms employment? In other words I cann't undestand the task. I understand quantum CNOT and classical operation only. But I cann't to unit or connect its in sequence of operations. I cann't to employ my probabilistic model. Thanks for help.
 
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  • #2
Preskill (If I spelled the name correctly) has been teaching quantum computation at Caltech for many years. He had some material on the web that you might be able to find.
Peter Shor has invented an algorithm (Shor's algorithm) that can be used to factor numbers. I think some people have suceeded building a quantum computer that can factor the number 15. This is not impresive but it is a good start. Building quantum computers is very difficult. Eventually, quantum computers could be used to factor very large numbers that would take an unreasonable length of time to factor in a standard computer. (polynomial time vs. exponential time)
There must be other possible future applications for quantum computers such as simmulation of quantum systems or other tasks that require massive parallel processing. (But I am not sure about this)
If you do a search in google for "quantum computation" you should be able to find a lot of material from different universities around the world.
Good luck Cartuz,
-Alex-
 
  • #3
alexepascual said:
Preskill (If I spelled the name correctly) has been teaching quantum computation at Caltech for many years. He had some material on the web that you might be able to find.
Peter Shor has invented an algorithm (Shor's algorithm) that can be used to factor numbers. I think some people have suceeded building a quantum computer that can factor the number 15. This is not impresive but it is a good start. Building quantum computers is very difficult. Eventually, quantum computers could be used to factor very large numbers that would take an unreasonable length of time to factor in a standard computer. (polynomial time vs. exponential time)
There must be other possible future applications for quantum computers such as simmulation of quantum systems or other tasks that require massive parallel processing. (But I am not sure about this)
If you do a search in google for "quantum computation" you should be able to find a lot of material from different universities around the world.
Good luck Cartuz,
-Alex-
Thanks, Alex.
I know about Shor's Algorithm. It is not simple as the first step for realization by my stochastic probabilistic computer. May be it is more simple as Grover's Algorithm. But I can’t find the description, which is suitable for write program. My situation is analog to situation when you are have the Quantum Computer but can’t use this. I can write program if I have the structure’s diagram. This description must be step by step. For example:
1. Initialization.
2. Quantum Operation CNOT (Controller not)
3. Classical operation.
and so on.
Do you have recommendation the paper with the simplest description for my first step? Becase the Simulation of Entanglement states, Simulation of Bi-Photons and Simulation of Qubits I have on Pascal on my Computer. I was publish this simulator in Russian Journal. This simulation has only one difference from Quantum statistic. Bell's Inequalities does not violet.
Because simulation is not interesting for me. I hope to realize Quantum Algorithm for practical demonstration of my idea.
 
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FAQ: I cann't undestand Quantum Algorithms. How I can?

What are quantum algorithms and how do they work?

Quantum algorithms are a set of instructions designed to be run on a quantum computer. They use the principles of quantum mechanics, such as superposition and entanglement, to solve complex problems more efficiently than classical algorithms.

Why is it difficult to understand quantum algorithms?

Quantum algorithms involve complex mathematical concepts and require a deep understanding of quantum mechanics. They also operate on a different level than classical computers, making them difficult to conceptualize for those not familiar with quantum computing.

What are some resources for learning about quantum algorithms?

There are many resources available for learning about quantum algorithms, including textbooks, online courses, and tutorials. Some popular resources include the book "Quantum Computation and Quantum Information" by Michael Nielsen and Isaac Chuang, and the online course "Quantum Computing for the Determined" by Scott Aaronson.

How can I improve my understanding of quantum algorithms?

One way to improve your understanding of quantum algorithms is to break down the concepts into smaller, more manageable pieces. Start by learning the basics of quantum mechanics and then gradually build your knowledge by studying more advanced topics. It can also be helpful to work through practice problems or simulations to gain a hands-on understanding of how these algorithms work.

What are some real-world applications of quantum algorithms?

Quantum algorithms have the potential to revolutionize many industries, including finance, healthcare, and transportation. Some specific applications include optimizing financial portfolios, simulating molecular interactions for drug development, and improving traffic flow in cities.

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