Article on the Quantum Marginal problem

In summary, the Quantum Marginal problem is a mathematical problem in quantum mechanics that seeks to determine the compatibility of a set of quantum states with a given set of marginal probabilities. It has implications for many areas of physics and can be solved using mathematical techniques such as semidefinite programming and convex optimization. Real-world applications include quantum cryptography and quantum chemistry. The problem is still considered an open problem and is an active area of research.
  • #1
SemM
Gold Member
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Hi, would someone be willing to write a pedagogic article on the Quantum Marginal Problem?

Thanks!
 
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  • #2
SemM said:
Hi, would someone be willing to write a pedagogic article on the Quantum Marginal Problem?
What have you looked up on your own? Do you really think that this can be a topic of brand interest?
 
  • #3
DrClaude said:
What have you looked up on your own? Do you really think that this can be a topic of brand interest?

Yes, it's rather recurring in quantum computation algorithm papers, and has therefore an impact on quantum information processing.
 

1. What is the Quantum Marginal problem?

The Quantum Marginal problem is a problem in quantum mechanics that seeks to determine the compatibility of a set of quantum states with a given set of marginal probabilities. In simpler terms, it is a mathematical problem that arises when trying to determine the possible states of a quantum system based on limited information.

2. Why is the Quantum Marginal problem important?

The Quantum Marginal problem is important because it has implications for many areas of physics, including quantum information theory, quantum cryptography, and quantum computing. It also has applications in other fields, such as chemistry and biology, where quantum systems play a role.

3. How is the Quantum Marginal problem solved?

The Quantum Marginal problem can be solved using a variety of mathematical techniques, including semidefinite programming and convex optimization. These techniques allow researchers to find the set of quantum states that best fit the given marginal probabilities.

4. What are some real-world applications of the Quantum Marginal problem?

The Quantum Marginal problem has real-world applications in fields such as quantum cryptography, where it is used to determine the security of quantum key distribution protocols. It also has applications in quantum chemistry, where it can be used to analyze the electronic structure of molecules.

5. Is the Quantum Marginal problem solved or still an open problem?

The Quantum Marginal problem is still an active area of research and is considered an open problem. While there have been significant developments in solving certain cases of the problem, there is still much work to be done in fully understanding and solving it.

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