Please Compute Concurrence Whats wrong

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In summary, concurrence is a measure of how much two or more events or processes occur at the same time and is important for understanding relationships and identifying potential issues. There are several methods for computing concurrence, including correlation coefficients, regression analysis, and time series analysis. Its purpose is to gain insight into relationships and identify patterns and potential issues. A low computed concurrence could indicate little to no relationship between events or processes, but other factors should also be considered. Concurrence has practical applications in forecasting, risk analysis, and decision-making, such as identifying conflicts or predicting the likelihood of events occurring together.
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coffekreizy
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Please Compute Concurrence...Whats wrong!

I have this rho matrix:

rho=[0.001 0 0 0.125;0 0.499 -0.374 0;0 -0.374 0.499 0;0.125 0 0 0.001];


Why the concurrence is different if you compute numerically (you can download programs for compute the concurrence in this sites:
http://optics.szfki.kfki.hu/~toth/qubit4matlab.html
http://www.dr-qubit.org/matlab.php

And if you use the Ec. 26 of Eberly paper/ Optics comm 264 (2006) 393-397
 
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  • #2


I'm afraid you'll have to put a little more effort in your post if you expect people to help you.
 
  • #3


Thank you for sharing this information. I understand the importance of accurate and consistent results in research. After looking into the provided information, it seems that there could be multiple reasons for the differences in the calculated concurrence values.

Firstly, it is important to note that the calculation of concurrence involves complex mathematical equations and can be affected by various factors such as numerical errors and rounding. Therefore, it is possible that the different programs or methods used for computation may lead to slightly different results.

Additionally, the concurrence calculation involves the determination of eigenvalues and eigenvectors of the density matrix, which can be affected by the initial input values. In this case, the input values for the density matrix may have been slightly different, leading to variations in the calculated concurrence.

Moreover, it is also possible that the programs or methods used for computation may have different algorithms or approximations, which can also contribute to the differences in the results.

In order to determine the exact reason for the discrepancies, further investigation and analysis would be required. I would suggest carefully reviewing the methods and algorithms used in each program and comparing the results with other established methods to ensure accuracy and consistency in the calculations.
 

FAQ: Please Compute Concurrence Whats wrong

What is concurrence and why is it important?

Concurrence is a measure of how much two or more events or processes occur at the same time. It is important because it helps us understand the relationships and dependencies between different events and can help us identify potential issues or conflicts.

How do you compute concurrence?

There are several methods for computing concurrence, depending on the specific data and variables involved. Some common approaches include using correlation coefficients, regression analysis, or time series analysis.

What is the purpose of computing concurrence?

The purpose of computing concurrence is to gain insight and understanding into the relationships between different events or processes. It can help us identify patterns, trends, and potential issues that may arise from the simultaneous occurrence of events.

What could be wrong if the computed concurrence is low?

If the computed concurrence is low, it could indicate that there is little or no relationship between the events or processes being analyzed. However, it is important to consider the specific data and variables involved, as well as potential limitations of the methods used for computing concurrence.

How can concurrence be used in practical applications?

Concurrence can be used in a variety of practical applications, such as in forecasting, risk analysis, and decision-making. For example, it can help businesses identify potential conflicts or dependencies in their processes, or assist in predicting the likelihood of certain events occurring together.

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