Optimal entangled coherent states in lossy quantum-enhanced metrology
Su-Yong Lee, Yong Sup Ihn, and Zaeill Kim

TL;DR
This paper explores how to optimize entangled coherent states for quantum phase estimation in lossy interferometers, demonstrating that less entanglement can be more advantageous under higher losses to maintain quantum advantage.
Contribution
It introduces a method to determine the optimal entangled coherent state configuration that maximizes quantum Fisher information under loss conditions, highlighting robustness and measurement strategies.
Findings
Optimal state configuration decreases entanglement with increased loss
Entangled coherent states outperform separable states in high-loss scenarios
Correlation measurements are essential for optimal information extraction
Abstract
We investigate an optimal distance of two components in an entangled coherent state for quantum phase estimation in lossy interferometry. The optimal distance is obtained by an economical point, representing the quantum Fisher information that we can extract per input energy. Maximizing the formula of the quantum Fisher information over an input mean photon number, we show that, as the losses of the interferometer increase, it can be more beneficial to prepare an initially entangled coherent state that is less entangled. This represents that the optimal distance of the two-mode components decreases with more loss in the interferometry. Under the constraint of the input mean photon number, we obtain that the optimal entangled coherent state is more robust than a separable coherent state, even in a high photon loss rate. The optimal entangled coherent state preserves quantum advantage…
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Optimal entangled coherent states in lossy quantum-enhanced metrology
Su-Yong Lee
Quantum Physics Technology Directorate, Agency for Defense Development, Daejeon 34186, Korea
Yong Sup Ihn
Quantum Physics Technology Directorate, Agency for Defense Development, Daejeon 34186, Korea
Zaeill Kim
Quantum Physics Technology Directorate, Agency for Defense Development, Daejeon 34186, Korea
Abstract
We investigate an optimal distance of two components in an entangled coherent state for quantum phase estimation in lossy interferometry. The optimal distance is obtained by an economical point, representing the quantum Fisher information that we can extract per input energy. Maximizing the formula of the quantum Fisher information over an input mean photon number, we show that, as the losses of the interferometer increase, it can be more beneficial to prepare an initially entangled coherent state that is less entangled. This represents that the optimal distance of the two-mode components decreases with more loss in the interferometry. Under the constraint of the input mean photon number, we obtain that the optimal entangled coherent state is more robust than a separable coherent state, even in a high photon loss rate. The optimal entangled coherent state preserves quantum advantage over the standard interferometric limit of the separable coherent state. We also show that the corresponding optimal measurement requires correlation measurement bases.
I Introduction
Quantum-enhanced metrology is a feasible quantum protocol under current technology, which is comparable with quantum communication and quantum computation that require perfect security and large-scale architecture, respectively. It can outperform any classical strategies by using entangled or squeezed states as an input signal giovannetti2004 , due to their nonclassical behaviors. For example, the state exhibits -time oscillation in a single run whereas the coherent state exhibits single-time oscillation in the same run dowling2008 . In comparison to the coherent state which represents the number-phase uncertainty with equality, the squeezed state reduces the uncertainty of phase while it enlarges that of number (intensity) dowling2008 . It is known that, for the standard quantum state, one utilizes the coherent state that is a minimum uncertainty state and imitates the oscillatory behavior of a classical harmonic oscillator.
We focus on the two-mode input state for quantum phase estimation in lossy interferometry. In the lossless scenario, the state dowling2008 and -type states Gerry01 ; Joo11 ; Zhang13 ; LLNK15 ; Knott2016 ; LLLN16 demonstrate the Heisenberg limit(HL) which is the fundamental limit by quantum mechanics, representing a scaling of . The state provides enhancement of by entanglement in precision whereas coherent state represents a scaling of , i.e., the shot-noise limit (SNL) or the standard quantum limit (SQL). is the input photon number, which can be replaced by the mean photon number of the input state. In the lossy scenario, however, the state and -type states are fragile against photon loss, such that people studied a class of path-entangled photon states Huver08 , Holland-Burnett states HB ; Datta , and general pure states with definite photon number Dorner ; Rafal in order to be resilient to photon loss. Although a pure state with definite photon number was optimized experimentally to show one of the best states in the lossy quantum-enhanced metrologyKac , we could not find any relation between two components ( and ) in the pure state. Here we raise a question: is there any specific relation between two components of a two-mode state in lossy quantum-enhanced metrology? For a specific relation, we consider an optimal distance of two components in a two-mode state which varies with photon loss in an interferometry.
It is related to initially prepare an optimal input state against photon loss in order to avoid additional operations in the measurement stage. The optimal input state preserves quantum advantage in the presence of photon loss, while beating the standard interferometric limit (SIL) of a coherent state. In the presence of photon loss, the boundary of the coherent state becomes readjusted as the SIL Rafal . Here we inject a coherent input state () into an interferometer. After a beam splitter, the input coherent state is transformed into a separable coherent state () which is compared with our optimal entangled coherent state in the presence of photon loss. Thus, in our paper, the separable coherent state plays roles of the SQL in the absence of photon loss as well as the SIL in the presence of photon loss.
In general, an arbitrary two-mode entangled state can be represented by , where is an arbitrary single-mode state. It is required to specify them in order to observe the distance between the two components and . In continuous variable systems, coherent states are more feasible than the other states, e.g., the squeezed vacuum state and squeezed coherent state. Using the coherent states, we propose optimal entangled coherent states for quantum phase estimation in the presence of photon loss. The entangled coherent state, which is implementable in a laboratory cat , is a good candidate to control the optimal distance between the two components in the two-mode state. In Fig. 1, we simply put the photon-loss process after the phase-shifting process, due to the commutativity between the two processes Rafal ; Oh17 . We investigate the optimal distance of and for quantum phase estimation with different photon loss rates . The optimal distance is obtained by an economical point, representing the maximum information that we can extract per input energy. Using the formula of the quantum Fisher information (QFI) over the input mean photon number, we show how the optimal distance of and varies with the photon loss rate in the interferometry. The result is also explained with the degree of entanglement (DOE) for the optimal entangled coherent state. In the constraint of the input mean photon number, the optimal entangled coherent state is compared with a separable coherent state in the presence of photon loss. Furthermore, we derive the optimal measurement for the quantum Fisher information.
This paper is organized as follows. We propose a generation scheme of an entangled coherent state and analyze its degree of entanglement. Then we investigate optimal distance of the coherent state components and with photon loss rate, and compare the optimal entangled coherent state with a separable coherent state. It is also analyzed by the output state entanglement. Next, we discuss the corresponding optimal measurement. Finally, we summarize our results and discuss some issues.
II State generation and degree of entanglement
An input entangled coherent state can be produced by impinging a coherent state and an even cat state into a beam splitter which takes the transformation of and . In Fig. 1, we inject a coherent state and an even cat state into the beam splitter. Then, we produce an entangled coherent state , where a single-mode coherent state is given by . Assuming that and are real variables, we can transform the entangled coherent state into
[TABLE]
where , , , and . Using the von Neumann entropy ent which is computed as ( denotes the eigenvalues of or ) for a pure bipartite state, we derive the DOE as
[TABLE]
where . In Fig. 2, we show that the degree of entanglement increases with . Since we assumed that and are real values, we can take as the distance between the two components and . This implies that the two different states and have the same degree of entanglement which counted their normalization factors.
Experimentally, in superconducting circuit-QED systems, an even cat state was prepared with the fidelity more than , and an entangled coherent state was prepared with fidelity at cat . It is expected that the state can be also prepared with the fidelity more than in the superconducting circuit-QED.
III Optimal distance of two components ( and ) in an entangled coherent state
Using the entangled coherent state , we study quantum phase estimation in lossy interferometry. It can be quantified by means of the quantum Fisher information that is the optimal measure of how well we can detect small changes in a parameter, which is the maximized classical Fisher information (CFI) with positive-operator valued measures. From an information-theoretic point of view, the inverse of the QFI can determine the ultimate precision limit of quantum phase estimation BK . This implies that the more the QFI is, the better the precision limit of a phase is. The QFI is defined as , where contains the phase information of and is the symmetric logarithmic derivative (SLD) operator BK . Using an output state , we can obtain the QFI by a formula of , where and .
Here we are interested in the quantum phase estimation for the cost-effective use of the input entangled coherent state. This means that we want to acquire more information of a phase parameter per input energy. For a measure of the cost-effectiveness, we define an economical point as
[TABLE]
where is the QFI of the output state in Fig. 1 and is the input mean photon number in mode after the beam splitter. Since the total input mean photon number is satisfied with the condition , it is enough for us to consider either of the two modes as an input energy. Given a value of , we find the optimal value of in the range of to maximize .
III.1 Equal losses in both arms
After experiencing a phase shifting operation and photon loss, the output state is given by
[TABLE]
where . The corresponding quantum Fisher information is derived as
[TABLE]
where
[TABLE]
In a lossless condition , given a value of , the optimal value of is negative at but it increases with and approaches zero at , as shown in Fig. 3. At , the optimal value of is given as but we did not show it in Fig. 3. For small values of , the optimal entangled coherent state is close to the state . For large values of , the optimal entangled coherent state becomes the state . We note that the former state is close to a scaling of the SQL and the latter state approaches a scaling of the HL. With increasing value of , the ultimate precision limit of the optimal entangled coherent state proceeds from the SQL to the HL, while the optimal distance of varies from to .
In a lossy condition , given a value of , the optimal value of increases with the photon loss rate . This represents that the optimal distance of decreases with the photon loss rate. In Fig. 4, we show that the optimal distance is getting smaller (larger) with the increasing (decreasing) photon loss rate. This means that initially we need to prepare less (more) entangled coherent states under the increasing (decreasing) photon loss rate. At , the optimal value of increases approximately from to with the photon loss rate . At , it moves from to . At , it starts to move from [math] to . Then, at , it shifts from [math] to . We note that, in Fig. 4 (a)-(c), the optimal value of can be any value of under so that the optimal entangled coherent state can be a separable state . It is also applied for the case of Fig. 4 (d) under .
In Fig. 5, the results of the entangled coherent state can be compared with those of a separable coherent state . Given a mean photon number for the coherent state, the quantum Fisher information is derived as in the presence of photon loss rate . Under the constraint of the input mean photon number, the entangled coherent state outperforms the coherent state by means of the QFI. In a lossless condition (), the entangled coherent state with exhibits higher QFI than the coherent state at the small mean photon number, whereas the entangled coherent state with exhibits higher QFI than the coherent state at the large mean photon number. In a lossy condition (), the entangled coherent state with shows higher QFI than the coherent state for different photon loss rates , where the ratio increases from to less than with the increasing .
III.2 Losses in one arm
We can consider the same scenario under a photon loss only in one arm of the interferometry. Assuming the photon loss only in the mode of Fig. 1, we derive the output state as
[TABLE]
where . The QFI of the Eq. (5) is calculated with
[TABLE]
It exhibits similar behavior to Fig. 4. Given a value of , the optimal value of increases with the photon loss rate , such that the optimal distance of decreases with the photon loss rate, as shown in Fig. 6. Using the QFI, in Fig. 7, we show that the entangled coherent state exhibits higher QFI than the coherent state with increasing .
IV Output state entanglement
In quantum metrology, the best strategy is to achieve the highest QFI as we can. In the absence of photon loss, the more the degree of entanglement, the higher the QFI. However, in the presence of photon loss, a state in a high degree of entanglement can be faster to lose the amount of entanglement than a state in a low degree of entanglement with the increasing photon loss rate . This is explained by analyzing the entanglement of the output optimal entangled coherent states. For a measure of entanglement in the output state, we consider the negativity which is described with the absolute value of the sum of the negative eigenvalues of a partial transposed state VW02 , , where is the trace norm and are the negative eigenvalues of a partial transposed state .
IV.1 Equal losses in both arms
The negativity of the output state is given by
[TABLE]
Given a fixed value of , we show that a high entangled state is faster to lose entanglement than a low entangled state with increasing , as shown in Fig. 8. At , the amount of entanglement represents their initial entanglement. Then, the output state entanglement is exhibited with a nonzero photon loss rate. At some points of , the initial low entangled state can have relatively more entanglement than the initial high entangled state. The surviving output entanglement contributes to produce relatively high quantum Fisher information by its interference terms. In Fig. 8 (d), the amount of entanglement is distinctively reversed with the increasing photon loss rate. Thus, in the presence of photon loss, it is valuable to prepare a less entangled coherent state initially with the increasing photon loss rate.
IV.2 Losses in one arm
The negativity of the output state is given by
[TABLE]
where , , , and . This shows a similar behavior to Fig. 8. For a fixed value of , a high entangled state is faster to lose entanglement than a low entangled state with increasing , as shown in Fig. 9. After photon loss, the initial low entangled state can have relatively more entanglement than the initial high entangled state.
V Optimal measurement
Now we turn to the optimal measurement for the quantum Fisher information. The corresponding optimal measurement is derived with the symmetric logarithmic derivative, the eigenbasis of which represents the optimal measurement basis Paris . The SLD is defined as , where , , and .
V.1 Equal losses in both arms
Using the SLD formula, we derive the SLD of the output state as
[TABLE]
where
[TABLE]
One of the corresponding eigenbases is . To obtain the QFI, we need to perform a measurement with the eigenbasis which consists of and . This requires a correlated detection setup which performs measurements either on the state of or on the state of . Each detection setup can be implemented with heterodyne (also called double homodyne) detection on each output mode. However, it is not known how to correlate the different detection setups, and we could not find it either. We leave it for our future work. Thus, the optimal measurement basis of the output state is a correlated measurement basis which is not achieved with currently known detection schemes.
V.2 Losses in one arm
For a photon loss only in one arm of the interferometry, the SLD formula is also given by Eq. (11) but all the components are derived as
[TABLE]
We also need to perform a correlated measurement which consists of the states and . This requires a correlated detection setup which performs measurements either on the state of or on the state of .
With a feasible measurement setup, we wonder if the classical Fisher information using photon number resolving detection (PNRD) can approach the quantum Fisher information bound in the presence of photon loss. The CFI is given by , where is a probability of detecting photons on mode and photons on mode for a given phase . An example of the entangled coherent states, i.e., , cannot attain the QFI bound by the CFI using the PNRD LLLN16 . The CFI of the state depends on a phase parameter. It is known that the quantum Fisher information of a single parameter is independent of the parameter Helstrom . Thus, in the presence of photon loss, we cannot attain the ultimate precision limit of the QFI with the CFI using the PNRD. For the other feasible measurement setup, we may also consider Gaussian measurement Gaussian19 that is implemented with general-dyne detection. This will be handled in our next project.
VI Summary and Discussion
We investigated an optimal distance of two components ( and ) in an entangled coherent state for quantum phase estimation in lossy interferometry. Defining the economical point as the quantum Fisher information over the mean photon number of the input mode , we found that the optimal distance of the two components gets smaller with photon loss rate . This represents that initially we need to prepare a less entangled coherent state with increasing . We verified that the initial low entangled state can have relatively more entanglement than the initial high entangled state with increasing . At low photon loss rate (), the optimal entangled state is close to for small and for large . This is summarized in Fig. 10. We also showed that the optimal entangled coherent state preserves quantum advantage in the presence of photon loss, while surpassing the SIL of a separable coherent state . Under a fixed input mean photon number, the optimal entangled coherent state is more resilient to photon loss than the separable coherent state, even in high photon loss rates. Then we derived the corresponding optimal measurement which is not a simple detection scheme but requires correlation measurement bases.
It is natural to consider the other type of entangled coherent states, i.e., . Since the state does not contain vacuum probability, it is less energy-efficient than in the condition of the economical point. Moreover the state can exhibit even worse performance than the separable coherent state under the constraint of the input mean photon number, as shown in appendix A. That is why we only considered the state in the lossy quantum-enhanced metrology.
As a further work, we may consider the optimal entangled coherent states propagating in a turbulent atmosphere SV09 ; Bohmann17 . The idea can be also exploited with microwave-optical photon pairs Stefano15 .
Acknowledgements.
This work was supported by a grant to Quantum Frequency Conversion Project funded by Defense Acquisition Program Administration and Agency for Defense Development.
Appendix A The other type of entangled coherent states:
We assume that and are real variables. The degree of entanglement for the entangled coherent state is constant as , regardless of . Since it does not contain the probability of the state , the lowest value of the mean photon number is .
After experiencing a phase shifting operation and photon loss in both arms, the output state is given by
[TABLE]
where . Then we derive the quantum Fisher information with the eigenvalues and eigenvectors of the output state. In Fig. 11, we compare the QFI of the entangled coherent state with that of a separable coherent state under a fixed input mean photon number. For small , the coherent state outperforms the entangled coherent state in the small input mean photon number. For large , the coherent state outperforms the entangled coherent state in the whole region of the input mean photon number.
Assuming a photon loss only in the mode of Fig. 1, we derive the output state as
[TABLE]
where . Using the corresponding quantum Fisher information, we compare the state and a separable coherent state under a fixed input mean photon number, as shown in Fig. 12. We obtain a similar behavior to the case of the photon loss in both arms, but for large the entangled coherent state almost overlaps with the coherent state in the QFI curves.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1(1) V. Giovannetti, S. Lloyd, and L. Maccone, Nat. Photonics 5 , 222 (2011).
- 2(2) J. P. Dowling, Contemp. Phys. 49 , 125 (2008).
- 3(3) C.C. Gerry and R.A. Campos Phys. Rev. A 64 , 063814 (2001).
- 4(4) J. Joo, W.J. Munro, and T.P. Spiller, Phys. Rev. Lett. 107 , 083601 (2011).
- 5(5) Y.R. Zhang, G.R. Jin, J.P. Cao, W.M. Liu, and H. Fan, J. Phys. A 46 , 035302 (2013).
- 6(6) S.-Y. Lee, C.-W. Lee, H. Nha, and D. Kaszlikowski, J. Opt. Soc. Am. B 32 , 1186 (2015).
- 7(7) P.A. Knott, T.J. Proctor, A.J. Hayes, J.P. Cooling, and J.A. Dunningham, Phys. Rev. A 93 , 033859 (2016).
- 8(8) S.-Y. Lee, C.-W. Lee, J. Lee, and H. Nha, Sci. Rep. 6 , 30306 (2016).
