How Does Quantum Negativity Vary with Partial Transposes in Bipartite Systems?

  • Context: Undergrad 
  • Thread starter Thread starter Jufa
  • Start date Start date
  • Tags Tags
    Quantum
Click For Summary
SUMMARY

The discussion focuses on the concept of quantum negativity in bipartite systems, specifically how it varies with partial transposes taken with respect to different subsystems, A and B. It is established that the negativity, defined as the sum of the magnitudes of negative eigenvalues from the partial transpose, is not necessarily equal when computed from different systems. This non-commutativity of the partial transpose operation leads to different negativity values, particularly for mixed states, where the negativity is determined by the lower value obtained from either system's partial transpose.

PREREQUISITES
  • Understanding of bipartite quantum systems
  • Familiarity with quantum negativity and entanglement measures
  • Knowledge of partial transpose operations in quantum mechanics
  • Concept of eigenvalues in linear algebra
NEXT STEPS
  • Research the mathematical formulation of quantum negativity in bipartite systems
  • Study the properties and implications of partial transposes in quantum mechanics
  • Explore examples of mixed states and their negativity calculations
  • Learn about other entanglement measures and their relationships to quantum negativity
USEFUL FOR

Quantum physicists, researchers in quantum information theory, and students studying entanglement and quantum mechanics will benefit from this discussion.

Jufa
Messages
101
Reaction score
15
TL;DR
I am struggling with this concept mainly for two reasons: it is non-symmetric and I find it difficult to encounter a proper definition for mixed states.
Let as consider a system ##H = A\otimes B##

I've been said that quantum negativity, i.e. taking the partial transpose w.r.t A or B and summing the magnitude of the negative eigenvalues obtained, is a measure of how entangled are the parties A and B.
First question:
Why is it that we do not always obtain the same negativity regardless of the system from which we take the partial transpose? After all the negativity tells how entangled is the bipartite system, so intuitively one can expect something like##N(\rho^A)=N(\rho^B)##. Nevertheless it is not difficult to fins some examples where this equality does not hold
Second question:
How do we define the negativity for mixed states? As other entanglement measures, I understand that the negativity of a bipartite state is the lower that can be found out of any of the possible collectivities may produce our mixed state but, again, from which system do we take the partial trace?

Thanks in advance
 
Physics news on Phys.org
.For the first question, it is important to note that the partial transpose of a bipartite state with respect to one of the systems (say system A) may not be the same as the partial transpose of the same state with respect to the other system (say system B). This is because the partial transpose operation is not commutative; in other words, the partial transpose of a state ##\rho## w.r.t. system A is not necessarily equal to the partial transpose of the same state w.r.t. system B. For the second question, the negativity of a mixed state is defined as the sum of the absolute values of the negative eigenvalues of the partial transpose with respect to either system A or B (whichever yields the lowest value). This is because the partial transpose operation is not commutative, so it is possible that taking the partial transpose of a mixed state with respect to one system (say system A) may yield different results than taking the partial transpose of the same state with respect to the other system (say system B). In such cases, the lower value should be used to calculate the negativity.
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 58 ·
2
Replies
58
Views
5K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 5 ·
Replies
5
Views
1K