Incompatibility of optimized protection of entanglement and teleportation fdelity in the presence of decoherence
Pith reviewed 2026-05-24 10:32 UTC · model grok-4.3
The pith
Optimal weak-measurement reversal for entanglement does not maximize teleportation fidelity when only one qubit undergoes amplitude damping.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
When one of two entangled qubits undergoes amplitude damping, the reverse weak measurement strength that maximizes concurrence is lower than the strength that maximizes teleportation fidelity; the fidelity optimum also yields a higher success probability. When both qubits undergo identical amplitude damping, the reversal strength that optimizes concurrence simultaneously optimizes fidelity.
What carries the argument
Weak measurement and reversal protocol applied to a two-qubit state before and after amplitude-damping interaction, with optimization performed separately on concurrence versus teleportation fidelity.
If this is right
- When only one party experiences amplitude damping, separate optimization of the reversal strength is required for maximum teleportation fidelity.
- When both parties experience identical amplitude damping, optimizing entanglement automatically optimizes teleportation fidelity.
- Higher success probability at the fidelity optimum points to the role of stronger nonlocal correlations beyond simple entanglement.
- Resources beyond entanglement must be considered when designing teleportation under asymmetric decoherence.
Where Pith is reading between the lines
- In quantum networks with uneven noise on different links, teleportation protocols may need independent tuning from entanglement-distribution protocols.
- The result raises whether other correlation measures, such as quantum discord, would align more closely with teleportation fidelity under the same noise model.
- The coincidence of optima under symmetric noise suggests that symmetric decoherence environments may allow a single reversal setting to serve multiple quantum tasks.
Load-bearing premise
The amplitude-damping channel together with the chosen weak-measurement reversal protocol fully captures the relevant errors without extra noise sources or implementation costs that would change the relative optima.
What would settle it
Measure teleportation fidelity at the concurrence-optimal reversal strength and at a higher reversal strength for a single-qubit amplitude-damping channel; if fidelity is not higher at the stronger reversal, the claimed incompatibility is falsified.
Figures
read the original abstract
Entanglement is the key success of teleporting an unknown quantum state with fidelity higher than classical limit. In the presence of decoherence, entanglement decreases with the strength of interaction between quantum systems and the environment. As a result, teleportation fidelity (TF) decreases. The technique of weak measurement and its reversal help to protect entanglement in the presence of amplitude-damping decoherence. In this work, we have shown that the optimal protection of entanglement does not optimize TF. More specifically, when one of the systems interacts with the environment, optimized TF requires higher strength of reverse weak measurement than optimized entanglement protection. The success probability of optimal protection indicates that higher form of nonlocal correlation plays the key role in optimizing TF. Interestingly, when both systems interact with the environment, optimization of entanglement implies optimization of TF. Therefore, the resources of quantum teleportation along with entanglement need to be explored.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper studies protection of two-qubit entanglement and teleportation fidelity (TF) against amplitude-damping decoherence via weak measurement followed by reversal. It reports that, when only one qubit couples to the environment, the reversal strength r that maximizes conditional concurrence differs from the r that maximizes conditional TF (TF optimum requires larger r). When both qubits decohere, the two optima coincide. Success probability is invoked to argue that higher nonlocal correlation underlies the TF optimum.
Significance. If the numerical comparisons hold, the result shows that maximizing entanglement does not automatically maximize TF under one-sided noise, indicating that teleportation performance depends on resources beyond concurrence. This could affect the choice of protection parameters in quantum communication protocols that rely on both entanglement and state transfer.
major comments (1)
- [Optimization results for one-sided decoherence (main text, figures and text comparing r optima)] The optimizations compare the reversal strength r maximizing conditional concurrence with the r maximizing conditional TF. Because reversal success probability P_s(r) decreases with r, the practically relevant quantity for TF is typically the success-probability-weighted fidelity P_s(r) × TF(r). It is unclear whether the argmax of the weighted TF coincides with the argmax of the unweighted conditional TF; if it does not, the reported incompatibility may not survive for the rate figure of merit that the abstract itself flags as relevant.
minor comments (2)
- Title contains a typographical error: 'fdelity' should read 'fidelity'.
- [Abstract and discussion of success probability] The abstract states that success probability 'indicates higher nonlocal correlation' at the TF optimum; the manuscript should make explicit whether this is shown by comparing weighted versus unweighted quantities or by another diagnostic.
Simulated Author's Rebuttal
We thank the referee for the positive recommendation of minor revision and for the detailed comment on our optimization analysis. We respond to the major comment below.
read point-by-point responses
-
Referee: [Optimization results for one-sided decoherence (main text, figures and text comparing r optima)] The optimizations compare the reversal strength r maximizing conditional concurrence with the r maximizing conditional TF. Because reversal success probability P_s(r) decreases with r, the practically relevant quantity for TF is typically the success-probability-weighted fidelity P_s(r) × TF(r). It is unclear whether the argmax of the weighted TF coincides with the argmax of the unweighted conditional TF; if it does not, the reported incompatibility may not survive for the rate figure of merit that the abstract itself flags as relevant.
Authors: We agree that the success-probability-weighted fidelity constitutes a practically relevant figure of merit, consistent with the abstract's emphasis on success probability. Our analysis isolates the conditional TF to demonstrate that its optimum differs from that of concurrence under one-sided damping, while invoking P_s separately to indicate the presence of stronger nonlocal correlations at the TF optimum. In the revised manuscript we will add an explicit discussion (and, where appropriate, a supplementary plot) of P_s(r) × TF(r) to clarify whether the reported incompatibility between the concurrence and TF optima persists under the weighted quantity. revision: yes
Circularity Check
No circularity in explicit optimization of concurrence vs. teleportation fidelity
full rationale
The paper computes concurrence and teleportation fidelity explicitly from the post-selected state after amplitude-damping evolution followed by weak measurement and reversal. The optimal reversal strengths are obtained by direct maximization of each quantity separately; these are independent functions of the reversal parameter with no parameter fitting, no self-referential definitions, and no load-bearing self-citations. The reported mismatch (or coincidence) between the two argmax values follows immediately from the closed-form expressions without reducing to the inputs by construction. The derivation is therefore self-contained against the channel model and protocol assumptions.
Axiom & Free-Parameter Ledger
Reference graph
Works this paper leans on
-
[1]
= √ 1− D2 (10) F (ρD
-
[2]
(10), it can be shown that the state becomes separable, i.e., C(ρD
= 1 6 ( 4 + 2 √ 1− D2− D2 ) , From Eq. (10), it can be shown that the state becomes separable, i.e., C(ρD
-
[3]
= 0 for D = 1, and TF drops to the classical region, i.e., F≤ 2/3 for (2 √ 2− 2)≤ D≤ 1. Interestingly, although the state ρD 12 is entangled for (2 √ 2− 2)≤ D < 1, but it is not useful for teleporta- tion. The dashed lines in the Figs. 1(a)-(b) correspond to the variation of concurrence C(ρD
-
[4]
with respect to the strength of decoherence D2, respectively. Interestingly, the state ρD 12 is not useful for teleportation although it is entangled in the range of strength of de- coherence, (2 √ 2− 2)≤ D < 1. The CC of the state ρD 12, CC (ρD
-
[5]
has been calculated numerically and plot- ted (dashed line) in the Fig. 1(c). It shows that classical correlation decreases when D increases. Scenario - II : When both qubits interact with the local environment, Alice and Bob share the following state ρDD 12 = V1,0ρ12V† 1,0 + V1,1ρ12V† 1,1, = 1+D1D2 2 0 0 √ D1 D2 2 0 D1D2 2 0 0 0 0 D1D2 2 0√ D1 D2...
-
[6]
= p2 + q2− D2p2 + 2 √ D2 p2 q2 2α , F (σR
-
[7]
+ 1 3 , (18) and the concurrence becomes C(σR
-
[8]
α (19) Next, we study optimal preservation of F (σR
= 2 √ D2 p2 q2. α (19) Next, we study optimal preservation of F (σR
-
[9]
It is interesting that whether optimiza- tion of F (σR
with respect to the strength of reverse weak measurement q2. It is interesting that whether optimiza- tion of F (σR
-
[10]
implies optimization of C(σR 12). It is also interesting that how the above mentioned optimizations affect the classical correlation of the state σR 12. Optimized teleportation fidelity : To minimize the effect of ADC on teleportation, F (σR
-
[11]
(18) needs to be maximized with respect to q2
of Eq. (18) needs to be maximized with respect to q2. The maximum value of TF, F max(σR
-
[12]
= 3 + 2D2 p2 3 + 3D2 p2 (20) 5 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 D2=D1=D C 0.0 0.2 0.4 0.6 0.8 1.0 0.6 0.7 0.8 0.9 1.0 D2=D1=D F 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 D2=D1=D CCB 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 D2=D1=D PSucc (a) (b) (c) (d) FIG. 3. Comparison of improvement of (a) entanglement, (b) teleportation fide...
-
[13]
= 2 2 + D2 p2 , (22) and the CCqmax 2 (σR
-
[14]
is numerically calculated. The dashed line in the Fig. 2(c) shows the variation of CC for the choice of p2 = 0.1 . Here, the success probability becomes Pqmax 2 Succ (σR
-
[15]
(23) Optimized concurrence : In this case, the concurrence of the state F (σR
= D2 (2 + D2 p2) p2 2 + 2D2 p2 . (23) Optimized concurrence : In this case, the concurrence of the state F (σR
-
[16]
(18) has been maximized with respect to the strength of reverse weak measurement q2
of Eq. (18) has been maximized with respect to the strength of reverse weak measurement q2. The maximum value of concurrence Cmax(σR
-
[17]
(25) For the choice of qmax 2 , the TF becomes F qmax 2 (σR
= 1√1 + D2 p2 (24) occurs for the qmax 2 = p2 + 2D2 p2 1 + D2 p2 . (25) For the choice of qmax 2 , the TF becomes F qmax 2 (σR
-
[18]
2(c) correspond to the CC for p2 = 0.1 when concurrence has been maximized
= 1 6 ( 3 + 2 1√1 + D2 p2 + 1 1 + D2 p2 ) .(26) The dotted line in the Fig. 2(c) correspond to the CC for p2 = 0.1 when concurrence has been maximized. In this case, the success probability becomes P qmax 2 Succ (σR
-
[19]
(27) The above two optimization cases have been com- pared in the Fig
= D2 p2. (27) The above two optimization cases have been com- pared in the Fig. (2) with the Scenario-I of the Sec IV. Here, the solid line corresponds to the case when the technique WMRWM has not been applied, dashed line represents the case when TF is maximized under the technique of WMRWM, and dotted line corresponds to the case when concurrence has be...
-
[20]
and Cqmax 2 (σR 12)→ Cmax(σR 12) for p2→ 1. Interestingly, the Fig. 2(c) shows that when TF is maximized, the classical correlation is also maxi- mized. Therefore, the Fig. (2) justifies the comment in the conclusion of the Ref. [11]. The Fig. 2(d) represents the comparison of the success probability of these two cases. It shows that concurrence maximizati...
-
[21]
M. A. Nielsen and I. L. Chuang, Quantum computation and quantum information (Cambridge University Press, 2000)
work page 2000
-
[22]
R. Horodecki, P. Horodecki, M. Horodecki, and K. Horodecki, Rev. Mod. Phys. 81, 865 (2009)
work page 2009
-
[23]
C.H. Bennett, G. Brassard, C. Cr´ epeau, R. Jozsa, A. Peres, and W.K. Wootters, Phys. Rev. Lett. 70 1895 (1993)
work page 1993
-
[24]
D. Bouwmeester, J.-W. Pan, K. Mattle, M. Eibl, H. We- infurter, and A. Zeilinger, Nature 390, 575 (1997)
work page 1997
- [25]
-
[26]
I. Marcikic, H. de Riedmatten, W. Tittel, H. Zbinden, and N. Gisin, Nature 421, 509 (2003)
work page 2003
-
[27]
Ji-Gang Ren et al., Nature 549, 70 (2017)
work page 2017
- [28]
- [29]
- [30]
- [31]
-
[32]
L. Henderson, and V. Vedral, J. Phys. A: Math. Gen. 34 6899 (2001). 7
work page 2001
- [33]
- [34]
-
[35]
M. Horodecki, P. Horodecki, and R. Horodecki, Phys. Rev. A 60, 1888 (1999)
work page 1999
-
[36]
S. Albeverio, S.M. Fei, and W. L. Yang, Phys. Rev. A, 66, 012301(2002)
work page 2002
- [37]
-
[38]
S. Adhikari, A. S. Majumdar, S. Roy, B. Ghosh, and N. Nayak, Quant. Inf. Compt. 10, 0398 (2010)
work page 2010
- [41]
- [44]
-
[45]
S. Oh, S. Lee, and H.-W. Lee, Phys. Rev. A 66, 022316 (2002)
work page 2002
-
[46]
H. Prakash, N. Chandra, R. Prakash, and Shivani, J. Phys. B: At. Mol. Opt. Phys. 40 1613 (2007)
work page 2007
- [47]
- [48]
- [49]
-
[50]
M. S. Kim, Jinhyoung Lee, D. Ahn, and P. L. Knight, Phys. Rev. A 65 040101(R) (2002)
work page 2002
-
[51]
P. Badziag, M. Horodecki, P. Horodecki, R. Horodecki, Phys. Rev. A 62 012311 (2000)
work page 2000
- [52]
- [53]
- [54]
- [55]
- [56]
-
[57]
M. B. Plenio, S. F. Huelga, A. Beige, and P. L. Knight, Phys. Rev. A 59, 2468 (1999)
work page 1999
-
[58]
M. Navasc´ ues, and T. Ver ´tesi, Phys. Rev. Lett. 106, 060403 (2011)
work page 2011
-
[59]
T. Pramanik, Y.-W. Cho, S.-W. Han, S.-Y. Lee, Y.-S. Kim, and S. Moon, Phys. Rev. A 99, 030101(R) (2019)
work page 2019
- [60]
- [61]
-
[62]
M. P. Almeida, F. de Melo, M. Hor-Meyll, A. Salles, S. P. Walborn, P. H. Souto Ribeiro, L. Davidovich, Science 316, 579 (2007)
work page 2007
-
[63]
T. Pramanik, Y.-W. Cho, S.-W. Han, S.-Y. Lee, S. Moon, and Y.-S. Kim, Phys. Rev. A 100, 042311 (2019)
work page 2019
-
[64]
D. Cavalcanti, P. Skrzypczyk, and I. ˇSupi´ c, Phys. Rev. Lett. 119, 110501 (2017)
work page 2017
-
[65]
C.H. Bennett, D.P. Di Vincenzo, J.A. Smolin, and W.K. Wootters, Phys. Rev. A 54 3824 (1996)
work page 1996
- [66]
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.