Quantum parameter-estimation of frequency and damping of a harmonic-oscillator
Patrick Binder, Daniel Braun

TL;DR
This paper derives the quantum Cramér-Rao bound for estimating the frequency and damping of a damped quantum harmonic oscillator in Gaussian states, providing a comprehensive solution and practical implications for nanoscale resonator measurements.
Contribution
It extends quantum parameter estimation to include damping, offers a unified approach for frequency estimation in Gaussian states, and suggests feasible experimental sensitivities with current nanotechnology.
Findings
Derived the quantum Cramér-Rao bound for damping and frequency estimation.
Unified previous partial results into a comprehensive solution.
Proposed that current nanotube resonators can achieve electron-mass sensitivity.
Abstract
We determine the quantum Cram\'er-Rao bound for the precision with which the oscillator frequency and damping constant of a damped quantum harmonic oscillator in an arbitrary Gaussian state can be estimated. This goes beyond standard quantum parameter estimation of a single mode Gaussian state for which typically a mode of fixed frequency is assumed. We present a scheme through which the frequency estimation can nevertheless be based on the known results for single-mode quantum parameter estimation with Gaussian states. Based on these results, we investigate the optimal measurement time. For measuring the oscillator frequency, our results unify previously known partial results and constitute an explicit solution for a general single-mode Gaussian state. Furthermore, we show that with existing carbon nanotube resonators (see J. Chaste et al.~Nature Nanotechnology 7, 301 (2012)) it should…
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Quantum parameter-estimation of frequency and damping of a harmonic-oscillator
Patrick Binder
Institute for Theoretical Physics, Tübingen University , 72076 Tübingen, Germany
BioQuant Center, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany
Institute for Theoretical Physics, Heidelberg University, Philosophenweg 19, 69120 Heidelberg, Germany
Daniel Braun
Author to whom correspondence should be addressed: [email protected]
Institute for Theoretical Physics, Tübingen University , 72076 Tübingen, Germany
Abstract
We determine the quantum Cramér-Rao bound for the precision with which the oscillator frequency and damping constant of a damped quantum harmonic oscillator in an arbitrary Gaussian state can be estimated. This goes beyond standard quantum parameter estimation of a single mode Gaussian state for which typically a mode of fixed frequency is assumed. We present a scheme through which the frequency estimation can nevertheless be based on the known results for single-mode quantum parameter estimation with Gaussian states. Based on these results, we investigate the optimal measurement time. For measuring the oscillator frequency, our results unify previously known partial results and constitute an explicit solution for a general single-mode Gaussian state. Furthermore, we show that with existing carbon nanotube resonators (see J. Chaste et al. Nature Nanotechnology 7, 301 (2012)) it should be possible to achieve a mass sensitivity of the order of an electron mass .
pacs:
I Introduction
The harmonic oscillator is one of the most important model systems in all of physics. It is exactly solvable, both classically and quantum mechanically, and plays a fundamental role in quantum field theories, where its elementary excitations can be identified with e.g. photons or phonons. The harmonic oscillator arises as low-amplitude limit of a much wider class of non-harmonic oscillators, and its regular motion is at the basis of time- and frequency measurements. Indeed, the most precise measurements of a physical quantity are often achieved when transducing their variations into frequency changes. It is therefore of utmost importance to figure out how precisely the two characteristic quantities of a harmonic oscillator, namely its frequency and its damping can be measured in principle. A partial answer was provided in Braun (2011), where the quantum Cramér-Rao bound (QCRB) for the frequency measurement of an undamped harmonic oscillator in an arbitrary pure quantum state was calculated. The QCRB is the ultimate lower bound for the uncertainty with which a parameter can be estimated. It is optimized over all possible (POVM-)measurements (POVM=positive operator-valued measure, a class of measurements that includes but is more general than the usual projective von Neumann measurements), and over all data-analysis procedures (in the sense of unbiased estimator functions of the measurement results alone). It becomes relevant when all technical noise sources are eliminated, and only the noise inherent in the quantum state remains. Importantly, the QCRB can be saturated in the limit of a large number of measurements.
A damped harmonic oscillator leads, however, naturally to mixed quantum states, and for those the calculation of the QCRB is much more difficult than for pure states, owing to the need to diagonalize the density operator in an infinitely dimensional Hilbert space. In Zheng et al. (2016) an attempt was made to obtain the QCRB for the frequency of a kicked and damped oscillator Asjad et al. (2014), by using the formulas for Gaussian states. Indeed, in Pinel et al. (2013) the exact QCRB was found for any of the five parameters that uniquely fix an arbitrary Gaussian state of a harmonic oscillator. However, those formulas were derived for an oscillator of fixed frequency, and they cannot be directly applied for frequency estimation. Doing so would amount to considering the Hamiltonian as a generator of a phase shift, i.e. the unknown parameter multiplies a hermitian generator, whose variance gives, up to a factor 4, the pure state quantum Fisher information (QFI). However, this ignores that the annihilation- and creation operators depend themselves on . That they do so is most easily seen by writing them in the Fock-basis and realizing that the wave-functions corresponding to the energy eigenstates depend on through the oscillator length. Physically, ignoring the dependence of hence implies that one neglects the dependence of the energy-eigenstates, which is particularly important at small times, i.e. much smaller than the period of the oscillator.
One might then think that calculating the QCRB for the damped harmonic oscillator is a hopeless endeavor if the formulas for the Gaussian states cannot be applied, and the state is not already diagonalized. Here we show, however, that there is a well-defined procedure that allows one to use those formulas nevertheless for the large and experimentally most relevant class of initial Gaussian states, by carefully incorporating the consequences of a change of frequency. This allows us to fully solve the problem of parameter estimation of a (weakly) damped harmonic oscillator, described by a Lindblad-master equation.
II General framework
We start by briefly describing the dynamics of a damped harmonic oscillator. Afterwards we review the closed-form expression for the general quantum Fisher information (QFI) for single-mode Gaussian states Pinel et al. (2013).
II.1 Dynamics
We consider a quantum harmonic oscillator with bare frequency weakly coupled to a Markovian environment. Assuming the validity of the Born-Markov approximation and the rotating-wave approximation, the density matrix of the oscillator evolves according to the master equation (ME) Agarwal (1971); Dattagupta (1984)
[TABLE]
where we introduced the mean thermal photon number of the bath at frequency , dimensionless inverse temperature , the damping constant .
By introducing the quadrature operator , the three-dimensional vector , where and by using the ME (1) one finds equations of motion Isar and Săndulescu (1992):
[TABLE]
and . The solutions of the time evolution of the first order moments are given by . For the second order moments we get , where denotes the identity operator.
The two phase-space coordinates and are linked to the annihilation and creation operator and of the mode by
[TABLE]
Summing up, , , and are coded into a state by the dynamics (1), but in addition a state specified initially e.g. in the Fock basis acquires an -dependence due to the -dependence of the harmonic oscillator energy eigenstates (oscillator length).
II.2 QFI of single-mode Gaussian states
Gaussian state. The Wigner function for an arbitrary density matrix of a continuous variable system with a single degree of freedom (such as a single harmonic oscillator) is defined by Wigner (1932)
[TABLE]
By definition, a Gaussian state is a state whose Wigner function is Gaussian. Thus, for a Gaussian state of a single harmonic oscillator (such as a single mode of an electro-magnetical field) the Wigner function takes the general form Weedbrook et al. (2012)
[TABLE]
where is the quadrature operator, is the covariance matrix, defines the expectation value and is the purity. For single-mode Gaussian states the purity is completely described by the covariance matrix and is given by Paris et al. (2003)
[TABLE]
Next, we recall that a general single-mode Gaussian state can always be represented as a rotated squeezed displaced thermal state , i. e. Adam (1995); Weedbrook et al. (2012)
[TABLE]
where is the squeezing operator, denotes the rotation operator and introduces the displacement operator. By introducing , which denotes the number of initial thermal photons, and the general Gaussian state can be parametrized by five real parameters . Note that we keep and as independent parameters.
Quantum Fisher information. We start from a density operator , which depends on an unknown real scalar parameter . To estimate this parameter, independent measurements with the outcome are taken. From the outcome we construct an estimator . For unbiased estimators the sensitivity with which a parameter can be measured has a lower bound, the so-called quantum Cramér-Rao bound (QCRB), given by Braunstein and Caves (1994); Holevo (2003, 2011); Hayashi (2006)
[TABLE]
where denotes the QFI. The fidelity, defined by , for two arbitrary single-mode Gaussian states and is given by Scutaru (1998)
[TABLE]
This formula is valid generally for two Gaussian Wigner functions, regardless of the underlying physical system. It remains therefore valid if the two Wigner functions represent states of two different harmonic oscillators, notably harmonic oscillators that can differ in frequency. Using further the fact that the fidelity is linked to the QFI through Pinel et al. (2013)
[TABLE]
one obtains the general QFI for Gaussian states of a single harmonic oscillator of fixed frequency Pinel et al. (2013)
[TABLE]
By following the approach adopted by Jiang in Ref. Jiang (2014) the same result can be obtained Bina et al. (2018).
III Undamped case
This section provides a scheme for the calculation of and results for the QFI relevant for estimating the frequency in the case of no damping.
III.1 Scheme for the estimation of the quantum Fisher information
Firstly we will illustrate that by directly using Eq. (11) for a frequency measurement one does not get the full QFI, instead one obtains just that part that corresponds to having as frequency-independent generator of the time evolution. For this purpose, we use the known results of the QFI for pure states, where one does not get the full QFI if taking independent of . In particular, this means that directly inserting the solution of the dynamics into equation Eq. (11) will not provide the correct result, as the -dependence of the Fock basis is not considered. Lastly, we justify that one can still use Eq. (11) if one treats the squeezing due to frequency change correctly, which leads to the scheme we propose.
We consider the case that only the dynamics of the state, and not the initial pure state itself, depends on the frequency to be measured. For given Hamiltonian , the dynamics of the system is described by , where is the time evolution operator. By neglecting the -dependence of the QFI is given by Paris (2009)
[TABLE]
where denotes the variance. For a general pure Gaussian state in the form of Eq. (7), i. e. , the QFI reads
[TABLE]
Next, we determine the same QFI by directly using equation (11). For this we first use that we can write the time-evolved density operator in the following way:
[TABLE]
where . Using , equation (16) from Pinel et al. (2013) can be rewritten as 111after correcting and in the definitions of Pinel et al. (2013).
[TABLE]
Thus, with we get the same result as obtained in equation (13), of which we have demonstrated that by directly using equation (11) the -dependence of the basis is not considered.
In order to consider all frequency dependencies correctly, we have developed the following scheme for the estimation of the QFI:
Start with an initial Gaussian state given in the Fock basis . 2. 2.
Perform a sudden change of frequency , which corresponds to a squeezing, at time . 3. 3.
Evolve the quantum state with respect to the new frequency . 4. 4.
Estimate the QFI by using Eq. (11). 5. 5.
Take the limit .
The sudden change of frequency at time ensures that also the frequency dependence of the basis is considered. Furthermore, it can be shown that the frequency jump corresponds to squeezing (see Appendix. A), i. e.
[TABLE]
where and .
It should be noted that the introduced scheme is only needed to determine the QFI for a frequency measurement using Eq. (11). For pure states, for example, the QFI can be determined directly from the overlaps of the states propagated with slightly different frequency Braun (2011), or, equivalently, from the variance of the local generator, taking into account the -dependence of (see Appendix. B). Furthermore, it should be noted that since the Fock basis does not depend on the damping constant, the introduced scheme is not needed for calculating the QFI for the estimation of .
III.2 Result for QFI for vanishing damping
By using the introduced scheme we now determine the QFI for the estimation of for the general Gaussian state given in Eq. (7). For a time evolution of the Gaussian state with the harmonic oscillator follows the result (see Appendix. C)
[TABLE]
where and
[TABLE]
The first term () of Eq. (17) results from the -dependence of the initial photon number , the second term is due to the -dependence of the Fock basis, and the term arises from as generator of the time evolution.
For an initial thermal state , Eq. (17) reduces to
[TABLE]
Thus, a measurement with does not provide any additional information regarding the frequency and the QFI has an upper bound —where itself is bounded by and is bounded by . Furthermore, the result demonstrates that one can measure the frequency of a mode of an e.m. field without any light at all, just from the vacuum fluctuations. The latter have been measured directly in Riek et al. (2015).
While our results from Eq. (17) agree with the obtained QFI for a coherent state Braun (2011), our result in Eq. (19) contains an extra term due to the consideration of the -dependence of neglected in Braun (2011). It should also be noted that our result agrees with the result by calculating the QFI via the variance in the case of a general pure Gaussian state (see Appendix. B).
Optimal state. The QFI can be drastically increased by displacing and/or squeezing the initial thermal state. In both cases, the QFI acquires a part proportional to that always dominates at sufficiently large times. For an initial state displaced with , the part proportional to has its maximum at . We further point out that the long-term behavior of the QFI for a squeezed thermal state also improves due to additional displacing.
The optimal choice of thermal photons depends on the initial state. If the QFI is dominated by the terms due to the squeezing, a high number of photons is favorable. If, on the other hand, the terms due to the displacement, which are , dominate, the lowest possible number of photons is desirable. The behavior can be well explained by the Wigner function. A larger is equivalent to a wider distribution of the state. This means that a small shift in the Wigner function of the displaced state, e. g. due to the time evolution, is less measurable for larger . Consequently, the enlargement of the thermal photons counteracts the additional gain of the displacement. The benefits of squeezing, on the other hand, increase with the thermal photon number. This can be directly from eq.(17) seen, since its QFI is proportional to , which is also the only term that increases with .
IV Damped case
In this section we will calculate the QFI for mixed Gaussian states for the damped harmonic oscillator for estimating the oscillator frequency and damping constant. Furthermore, we determine the optimal measuring scheme and the optimal measuring time and we demonstrate that with existing carbon nanotube resonators it should be possible to achieve a mass sensitivity of the order of an electron mass .
IV.1 Measuring the oscillator frequency
By sticking to the scheme explained in Sec.III.1, we obtain the exact expression for the QFI for a general initial Gaussian state by considering the time evolution given by the ME (1), which can be found in the Appendix, in Eq. (64) to (69). However, since the solution is too heavy to report here, we will first look at the long-term behavior and then limit ourselves to specific initial states—coherent state and squeezed state.
IV.1.1 Long-term behavior
For longer periods, the solution of ME (1) relaxes to the thermal equilibrium state, i. e. for ,
[TABLE]
It should be remembered that the thermal equilibrium state as well as the mean thermal photon number also depend on the oscillator frequency itself. It can therefore be expected that the QFI does not vanish due to the dependency of the final state on the frequency. Since both first order moments vanish, i. e. , only the first two terms of Eq. (11) contribute to QFI and calculation yields
[TABLE]
This means that for large times, the QFI has an upper bound given by (see Fig. 1). The upper bound can be reached in the high temperature limit. As a consequence, a longer measurement does not necessarily yield a better result for the experiment. In other words, there is an optimal measurement (OMT) time in which the frequency can be measured best, which is in accordance with the physical expectations.
IV.1.2 Optimal measurement time and maximal quantum Fisher information
Coherent state. We start by considering an initial coherent state . Recall, displacing the initial state is one of the possibilities to strongly increase the QFI in the undamped case. Since displacing the ground state only affects the expectation values of the quadrature operators and not the covariance matrix, the QFI of the coherent state can be written as
[TABLE]
where denotes the time-evolved ground state and . The QFI of the ground state is bounded by (see Appendix. C). Thus, the upper bound of the QFI for the ground state is increased by introducing the system-bath coupling, which can be explained by the -dependence of . I.e. also in the damped case, the frequency can be measured when the system is initially prepared in the ground state. Straightforward calculation leads to
[TABLE]
where introduces a dimensionless damping constant. Thus, for frequency measurements an as big as possible displacement is recommended.
Since the QFI of the ground state is bounded (and small), applies for (by assuming and ). For high enough temperatures, , becomes arbitrarily small and the QFI is then described by the QFI of the ground state. In other words, displacement only improves frequency measurements for resulting mean energies larger than the thermal energy.
By neglecting small oscillations, maximization of Eq. (23) provides the maximal QFI and the optimal measurement time with , i. e.
[TABLE]
where denotes the Lambert function defined by .
The Taylor series for at is
[TABLE]
That means that for high temperatures the QFI of the ground state decays faster () than () and varies only slightly close to the time . Consequently, the use of for estimating the optimal measurement time leads, even in this range, to a good result of the OMT (see Fig. 2). Furthermore, it should be noted that the smaller , the larger can be, so that the OMT is still very well described by . By reducing the system-bath coupling, the maximal QFI increases proportionally to . However, it should be noted that the OMT also increases proportionally to .
Thus, it is a natural to consider time as a resource and to introduce the rescaled maximal QFI and the optimal measurement time that maximizes it. For an initial coherent state we get
[TABLE]
Taking time into account as a resource leads to a reduction of the OMT.
Squeezed state. Besides displacement, squeezing the initial state is another possibility to increase the QFI in the undamped case. Therefore, we determine the QFI for a squeezed state . For the coherent state we have seen that reducing the temperature leads to an increase in the QFI. This behavior is reasonable, since increased temperature implies increased damping according to the master equation (1). A similar behavior can be observed here with the squeezed state. The QFI for a vanishing bath temperature, i. e. , reads
[TABLE]
Alternatively, for high squeezing and low temperatures, i. e. and , the QFI can be approximated as (see Fig. 3)
[TABLE]
Thus, the QFI can be significantly increased by squeezing also for an initial thermal state. Neglecting the oscillations, the OMT can be determined to
[TABLE]
For sufficiently high squeezing and low temperature, the OMT does not depend on the squeezing and temperature anymore.
IV.2 Measuring the damping constant
Next we consider the QFI for the estimation of the damping constant. First of all, the QFI disappears for large times, i.e. . This can be seen directly from the fact that the final thermal state (for the master equation approach) itself no longer depends on the damping constant. In other words, there is again an OMT.
After a straightforward but long and tedious calculation we find for the QFI of a general Gaussian state
[TABLE]
where , , and
[TABLE]
The result does not depend on the rotation angle , but only on the squeezing angle . In contrast to frequency measurement, the QFI for measuring is maximized for . This is in agreement with the physical expectation, as the relevant dynamic here is the relaxation of . To illustrate the result, we again consider specific initial states — thermal state, displaced thermal state and squeezed state.
Thermal state. The QFI of a thermal state can be written as
[TABLE]
The greater the deviation of the initial temperature from the bath temperature, the better can be measured. In particular, for a vanishing deviation, i.e. , the QFI vanishes, since in this case the state has no dynamics at all. For , the OMT is given by
[TABLE]
Displaced thermal state. For an initial displaced thermal state the QFI for measuring reads
[TABLE]
Particularly for , the QFI simplifies to
[TABLE]
and the OMT is given by . For only the 3rd part of equation (11) contributes to the QFI, i.e. the QFI results solely from the relaxation of . By considering the rescaled QFI the OMT reduces to .
Squeezed state. The low temperature limit behavior, i. e. , of the QFI for an initial squeezed state is given by
[TABLE]
The sensitivity with which the damping parameter can be measured improves by squeezing, displacing and/or a temperature deviation (see Fig. 4).
IV.3 Nano-mechanical resonators
In the following we apply the results obtained to nano-mechanical resonators, which function as precision mass sensors as their resonance frequency changes when additional mass is adsorbed. More precisely, we consider carbon nanotube resonators. Using the QCRB (8) and , where is the effective spring constant of the harmonic oscillator, the smallest that can be resolved from measurements of the resonance frequency is given by
[TABLE]
Assuming a coherent state with oscillation amplitude of about for the carbon nanotube resonator in Chaste et al. (2012) (3\text{\times}{10}^{-22}\text{,}\mathrm{kg}, $\omega=2\pi\times$1.865\text{\,}\mathrm{GHz}, 4\text{,}\mathrm{K} and $Q\sim${10}^{3}), according to (39) is slightly below one proton mass. Using the OMT given by 270\text{,}\mathrm{ns}, the sensitivity corresponds to $\delta M_{\text{min}}\sqrt{t_{\text{max}}}=0.8\,m_{e}$\mathrm{Hz}^{-1/2}, which is less than of the experimentally determined mass sensitivity of slightly more than one proton mass after averaging time.
In Braun (2011) the theoretically achievable for the carbon nanotube resonator in Jensen et al. (2008) ({10}^{-21}\text{,}\mathrm{kg}, $\omega=2\pi\times$328.5\text{\,}\mathrm{MHz}, 300\text{,}\mathrm{K} and $Q\sim${10}^{3}) was determined to the order of a thousandth of an electron mass. Including the system-bath coupling, increases to about proton masses, where the OMT is given by 1.5\text{,}\mathrm{\SIUnitSymbolMicro s}. This result is equivalent to $0.8\text{\,}\mathrm{u}\mathrm{/}\sqrt{\mathrm{Hz}}$, which approximately corresponds to one hundredth of the 78\text{,}\mathrm{u}\sqrt{\mathrm{Hz}}$$ achieved in the experiment.
V Conclusions
In summary, we have derived the quantum Cramér-Rao bound for measuring the oscillator frequency and damping constant encoded in the dynamics of a general mixed single-mode Gaussian state of light, including damping through photon loss described by a Lindblad master equation. We first demonstrated that the known solution for the QFI for Gaussian states of a single harmonic oscillator of fixed frequency cannot be directly applied to frequency measurements. Next, we presented a scheme through which the frequency estimation can nevertheless be based on the results of Pinel et al. Pinel et al. (2013).
Furthermore, we have shown that displacing and/or squeezing the initial state significantly increases the precision with which and can be estimated. For measuring and , is optimal, whereas for measuring , maximizes the QFI.
Our results can serve as important benchmarks for the precision of frequency measurements of any harmonic oscillator with given damping. In particular, we found optimal measurement times that limit the sensitivity per with which frequencies can be measured, in contrast to the undamped case, where e.g. coherent states lead to growing QFI for arbitrarily large times.
Appendix A Change of basis
By presenting the scheme for the estimation of the QFI for measuring we made use of the fact that the frequency jump corresponds to squeezing. Next we prove the statement, i. e. the following formula
[TABLE]
where . For the sake of simplicity the two parameters
[TABLE]
are introduced. A squeezed number state is given by Nieto (1997)
[TABLE]
where and denotes the floor function. With and we get . This means in particular that and must be both even or both odd numbers, otherwise the overlap disappears. If and satisfy this condition and by using and , the expression can be further simplified as follows
[TABLE]
By changing the index of summation to we get the new upper bound of , where denotes the smaller of the two integers , . is also bounded by , since and thus . Using the new index of summation we get Smith (1969)
[TABLE]
where denotes the overlap matrix element between energy eigenstates of the two oscillators with frequency and . Since this is true for all , we have proven the formula. Thus, for any density operator follows
[TABLE]
where and corresponds to the initial state by replacing the frequency of the basis with the new frequency . Thus, we have shown that the initial frequency change corresponds to a squeezing. It should be noted that in the case of a vanishing frequency change, i. e. , , and follow and thus is ensured.
Appendix B QFI for pure states
In the following it will be shown that the introduced scheme provides the correct QFI for an undamped pure Gaussian state. Therefore, the QFI is calculated analogously to chapter III.1, but this time also the -dependence of are taken into account.
This means, we consider the case that only the dynamics of the state, and not the initial state
[TABLE]
where , depends on the frequency to be measured. For given Hamiltonian , the dynamics of the system is described by , where is the time evolution operator. With the help of the local generator
[TABLE]
the QFI can be rewritten as follows Boixo et al. (2007)
[TABLE]
If is a Matrix depending on the parameter , , then Snider (1964)
[TABLE]
Using this formula we can rewrite the local generator as Fraïsse and Braun (2017)
[TABLE]
where . The derivative of the Hamiltonian with respect to the oscillator frequency reads
[TABLE]
where we made use of and , which can be seen from their representation in the Fock state basis . With the help of
[TABLE]
we get
[TABLE]
Insertion and subsequent integration provides the local generator
[TABLE]
Next, the QFI is calculated. The annihilation and creation operator and , defined by
[TABLE]
and , can be used to rewrite the expectation values of as follows
[TABLE]
Using the formulae and , we obtain the QFI after a straightforward calculation:
[TABLE]
Comparison with Eq. (17) for a pure Gaussian state, i. e. , shows that the results are identical.
Appendix C Calculation of QFI
Here we report the calculation of the QFI for measuring . First, the dynamics resulting from ME (1) is determined. Then the QFI for the undamped case is calculated. Finally, the exact QFI for the damped case is given.
The solutions of ME (1) are given by Isar and Săndulescu (1992)
[TABLE]
and
[TABLE]
Indeed, the second equation (58b) is an immediate consequence of . For the general single-mode Gaussian state in Eq. (7) the initial expectation values are given by
[TABLE]
Here we give the expectation values with respect to the initial frequency . The time evolution of the ME (1), on the other hand, is with respect to the new frequency , as described in the scheme.
C.1 Undamped case
We start with the calculation for the QFI of the undamped case of Eq. (17). The undamped dynamic corresponds to the expectation values from Eq. (58) and Eq. (59) for . By using these results we calculated the five parameters of interest . For the sake of clarity we give the results after executing the limit and additionally use the dimensionless time . The derivative of quadrature operator is given by
[TABLE]
The purity and its derivative read
[TABLE]
whereas the derivative of the covariance matrix is described by the following equations:
[TABLE]
By inserting Eq. (61)-(63) into Eq. (11) one obtain Eq. (17).
C.2 Damped case
By repeating the previous calculations with a non-vanishing , we estimate the QFI for damped Gaussian states for measuring . Since the solution is too heavy, we specify the three terms of Eq. (11) separately, i. e.
[TABLE]
where
[TABLE]
Repeating the previous calculation for a non-vanishing damping leads to the following exact result of the QFI:
[TABLE]
where we introduced a new angle , , and
[TABLE]
Finally the maximum of the QFI of an initial ground state, which was used to approximate the QFI of the coherent state, is determined. For an initial ground state, the QFI simplifies to
[TABLE]
Numerical maximization of with respect to the three parameters returns the value .
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