Abstract
We study the quantum metric in a driven Tavis-Cummings model, comprised of multiple qubits interacting with a quantized photonic field. The parametrical driving of the photonic field breaks the system’s U(1) symmetry down to a Z2 symmetry, whose spontaneous breaking initiates a superradiant phase transition. We analytically solved the eigenenergies and eigenstates, and numerically simulated the system behaviors near the critical point. The critical behaviors near the superradiant phase transition are characterized by the quantum metric, defined in terms of the response of the quantum state to variation of the control parameter. In addition, a quantum metrological protocol based on the critical behaviors of the quantum metric near the superradiant phase transition is proposed, which enables greatly the achievable measurement precision.
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1. Introduction
Superradiant phase transition (SPT) was first predicted in the Dicke model [1,2], which describes the collective interaction between $N$ two-level atoms (qubits) and a quantized photonic field. At the critical point where the collective coupling strength is comparable to the system frequencies, a sudden boost of the photon number occurs, as a consequence of competition between the rotating-wave and counter-rotating-wave terms in the interaction Hamiltonian. In conventional cavity quantum electrodynamics (QED) systems, the coupling-to-frequency ratio is typically much smaller than unity, so that the counter-rotating-wave terms does not produce any observable effect. Experimental realization of the SPT is challenged by this restriction, as well as by the no-go theorem–the quadratic scaling of the square of the vector potential neglected in the Dicke Hamiltonian would inhibit a sudden increase of the photon number [3]. These problems can be overcome by coupling the cavity mode to the transition between two electronic ground states [4] or two momentum states [5,6] with the assistance of a classical field. The resulting Raman-type interaction is described by an effective Dicke Hamiltonian, where the two low-energy levels of the atoms act as the basis states of qubits.
The counter-rotating-wave terms necessary for realizing the SPT can also be effectively produced from the rotating-wave terms with a strong driving [7]. Thus-realized effective Rabi Hamiltonian is valid in a framework rotating at the Rabi frequency of the strong driving. When viewed in the laboratory framework, the qubit undergoes a fast rotation, which makes it difficult to track the qubit state in real time, as demonstrated in a recent experiment where the SPT was realized in an on-chip effective Rabi model [8]. In other words, the system lacks a symmetry in the laboratory framework. This difficulty can be overcome with a parametric driving applied to the photonic field, which can effectively transform the rotating-wave interaction into an asymmetric combination of both rotating-wave and counter-rotating-wave interactions [9,10]. Unlike the strong-driving-based effective Rabi model, the qubits’ rotation solely arises from its interaction with the quantized photonic field, and the system Hamiltonian, in the laboratory framework, still bears a ${\rm Z}_2$ symmetry, although the U(1) symmetry is broken. The SPT for such parametrically-driven system with several qubits have been theoretically explored [11], but in the steady state under a driving-dissipation competition, other than in the ground state of the Hamiltonian. Recently, the ground-state critical behaviors of the parametrically-driven Jaynes-Cummings model were investigated [12]. In addition to fundamental interest, these critical phenomena can be used for realizing quantum-enhanced sensing [13].
We here investigate the critical behaviors of the Tavis-Cummings model [14], which composes of multiple qubits coupled to a quantized photonic field under a parametrical driving. Such a parametrically-driven Tavis-Cummings model possesses a ${\rm Z}_2$ symmetry in the laboratory framework, allowing the real-time tracking of the qubits’ state, as compared to the case that the drives are applied to both the qubits and the bosonic field for realizing an effective Dicke model [15]. Moreover, the infinite ratio of qubit-to-field frequency required in the Rabi model, to satisfy the thermodynamic limit so as to realize the critical phenomena, can be balanced by the number of qubits by use of the driven model. This could potentially make the practical implementation of the SPT more flexible, when the infinite frequency ratio in the parametrically-driven Jaynes-Cummings model is hard to reach. We characterize the critical phenomena around the SPT by the quantum metric [16–18], which is defined in the context of quantum information. A comparison between the nonanalytic behaviors of the quantum metric and those associated with the ground state energy is performed. We further investigate the criticality-enhanced quantum sensing based on such a model.
The paper is organized as follows. In Sec. 2, we describe the parameter space geometry of a given quantum system and introduce the quantum metric. In Sec. 3, we present the analytical derivation for the eigenstates and eigenenergies in both the normal and superradiant phases. In Sec. 4, we characterize the physical properties of the critical quantum system in terms of the ground state energy and the quantum metric. A dynamical quantum sensing protocol is proposed in Sec 5 and the corresponding higher-order corrections is shown in Sec. 6. Sec. 7 ends up with our conclusions. In the Appendixes, we provide some supplementary calculations for the quantum metric and the QFI.
2. Quantum metric
In this section, we briefly review the concept of the geometry of quantum states in Hilbert space, described by the so-called quantum geometric tensor (QGT) [19–21]. We consider two infinitesimally separated quantum states $\vert \phi _{k_i}\rangle$ and $\vert \phi _{k_{i+1}}\rangle$ in a parameter space $\textbf {k}=\{k_i\}$ $(i=1,2,\ldots,M)$, where the QGT is defined as
If the system is initially in a nondegenerate eigenstate $\vert \phi (k)\rangle =\vert n(k)\rangle$ whose controlled Hamiltonian $H(k)$ is slowly varied, the adiabatic theorem ensures that the system evolves remaining within the state $\vert n(k)\rangle$. The quantum metric can be expanded as [16]
3. Quantum critical system
We here consider multiple qubits coupled to a squeezed bosonic field [11,30–32]. The Hamiltonian can be described as $(\hbar =1)$
3.1 Normal phase
We first discuss the critical behaviors in the normal phase. To this end, we divide $H$ into two parts, i.e., $H=H_0+H_1$, with
By applying a Schrieffer-Wolff transformation [33] to the Hamiltonian in Eq. (3), we can remove the interaction between the qubits and the bosonic field described by $H_1$, restricting each qubit in respective decoupled subspaces $\{\vert g\rangle _j\}$ or $\{\vert e\rangle _j\}$. The transformed Hamiltonian can then be expanded as
where $D$ is an anti-Hermitian and block-off-diagonal operator, satisfying $[H,D]^{(k)}=[[H,D]^{(k-1)},D]$, with $[H,D]^{(0)}=H$. In order to construct $D$, we divide $H^{'}$ into the diagonal part $H_d$ and the off-diagonal part $H_o$:Here, we require that the off-diagonal part $H_o=0$ up to the second order in $\lambda _j$, which leads to $[H_0,D]=-H_1$. With this setting, the operator $D$ can be derived as
In the limit $\beta _j=\Omega _j/\omega \to \infty$, we can simplify the transformed Hamiltonian as
For simplicity but without loss of generality, we hereafter set $\lambda _j/\lambda =\Omega _j/\Omega =x_j$. With the projecting of $H^{'}$ to the ground states of the qubits, the low-energy Hamiltonian for the effective normal phase can then be written as
At this time, the critical behaviors of the system are still disturbed by the two-photon terms. To better see the physical phenomena, we then diagonalize $H_{np}$ by introducing the field squeezed operator $S(r_{np})=e^{r_{np}(a^2-a^{\dagger 2})/2}$, and choose the squeezed parameter $r_{np}=\frac {1}{4}\ln {[\alpha _{n}/(\alpha _{n}+2G)]}$ to eliminate the additional two-photon terms. Such a squeezing transformation leads to
with the excitation energy $\epsilon _{np}=2\sqrt {\alpha _{n}(\alpha _{n}+2G)}$ and the ground-state energy $E_{np}=[\epsilon _{np}/2-(\alpha _n+G)-K\Omega /2]$. For $\omega \geq 2G$, the excitation energy $\epsilon _{np}$ is real only when $g<1$, which implies that the SPT occurs at the critical point $g_c=1$. The form of phase transition parameter $g$ shows the feasibility of the SPT for finite-size few-body system, which indicates that the rigorous restraint in the coupling strength can be alleviated by increasing not only the driving strength but also the number of qubits, despite the distinct coupling strength between each qubit and the bosonic field. At this point, the low-energy eigenstates of $H_{np}$ can be described as $\vert \phi ^n_{np}\rangle =S(r_{np})\vert n\rangle \vert g\rangle ^{\otimes N}$, whose corresponding eigenenergies read $E^n_{np}=n\epsilon _{np}+E_{np}$. The quantum metric for the ground state can then be calculated via Eqs. (2) and (10) as3.2 Superradiant phase
However, for $g>1$, the excitation energy $\epsilon _{np}$ becomes imaginary, indicating that the number of photons in the bosonic field becomes proportional to $\Omega /\omega$ and the field mode is occupied macroscopically so that the higher-order terms can not be neglected. By this time, the ground state has come into the superradiant phase, and the excitation energy at this point can not be described by $\epsilon _{np}$ because of the failure of the low-energy Hamiltonian. For capturing the physics of the superradiant phase accurately in this case, we displace the bosonic field mode in the original Hamiltonian $H$ of Eq. (3) by using the displacement operator $D(\alpha )=e^{\alpha (a^\dagger -a)}$ $(\alpha \in R)$. Then the transformed Hamiltonian becomes
To simplify the representation, we diagonalize the part of the qubits using
4. Quantum phase transition
The analytical results shown above for the normal and superradiant phases indicate that a squeezing drive induces the finite-size few-body system to undergo a SPT at $g_c=1$. We now analyze the physical properties of the system by observing the ground state energy $E_G$ and the components of the quantum metric. We focus first on the ground state energy $E_G$ for the equivalent Hamiltonian. Note that $E_G$ is approximately equivalent to $-K\Omega /2$ for $g<1$ and becomes $-K\Omega (g^2+g^{-2})/4$ for $g>1$, meaning that the ground state energy is continuous when passing through the critical point. However, the second derivative of $E_G$ is discontinuous at the critical point, which explains the second-order nature of the SPT, as shown in Fig. 1.
We now turn to the components of the quantum metric. For $g<1$, the low-energy eigenstates of the effective Hamiltonian give the expressions of the quantum metric for the ground state defined in Eq. (1) with
![figure: Fig. 1.](/images/ajax-loader-big.gif)
Fig. 1. (a) The analytical ground state energy $E_G$ and (b) its corresponding second-order derivative ${{\rm d}^2E_G}/{{\rm d}g^2}$ as a function of the phase transition parameter $g$ with the selected number $N$ of qubits and $K$. At the critical point, the ground state energy is continuous when its second-order derivative exhibits the apparent singularities. We here set $\Omega =20\omega$, $G=0.1\omega$.
The divergent behavior emerging in $g^{(0)}_{\mu \nu }$ $(\mu, \nu = \lambda, \Omega )$ of (19) also demonstrates the emergence of the SPT as the system is close to the critical point $g_c$ (see Appendix A for the detailed derivation), as well depicted in Fig. 2. The situation is also true for $g>1$, as these components for the ground state are similarly divergent according to
Overall, the critical behavior characterized and exhibited by the ground state energy as well as by the quantum metric when $g$ approaches $g_c$, demonstrates the occurrence of the SPT.
![figure: Fig. 2.](/images/ajax-loader-big.gif)
Fig. 2. The solution of the quantum metric components under the effective Hamiltonian $H_{np}$ and $H_{sp}$ when $K=4.5$ for $N=5$ (blue solid line) and $K=17.3$ for $N=20$ (red dashed line). Each component of the quantum metric exhibits a divergent behavior when $g$ approaches to the critical point $g_c$. We here set $\Omega =20\omega$, $G=0.1\omega$.
5. Quantum sensing and encoding scheme
With this quantum critical system, the quantum Fisher information (QFI) can be obtained and is expected to exhibit a divergent behavior when the system is approaching the critical point, indicating that the criticality-enhanced quantum sensing [34–39] may potentially be allowed. The QFI, defined by the quantum Cramér-Rao bound [40], shows the absolute lower bound of the measurement pricision for an input state and is independent of the measurement methods [41]. Such a lower bound indicates that the QFI as large as possible is required so as to get the higher measurement precision when the relevant parameter is estimated. Recently, a dynamic framework was proposed [42] to realize the quantum sensing without the particular requirement for state preparation or adiabatic evolution. As was illustrated in Ref. [42], the Hamiltonian of Eqs. (9) and (17) both satisfy the relation $[H_{\alpha '},\Lambda ]=\sqrt {\Delta }\Lambda$ with $\Delta =16\alpha '(\alpha '+2G)$, where $\alpha '$ is equal to $\alpha _{n}$ for $g<1$ and becomes $\alpha _{s}$ for $g>1$, enabling prominent improvement in the achievable measurement precision (see Appendix B).
We here show the ultimate precision about the parameter $\alpha '$, expressed by the QFI as
We initialize the bosonic field in the coherent state $\vert \varphi \rangle =\vert \xi \rangle$ and all qubits in their ground states. To quantify the precision of the parameter estimation, we define the inverted variance $\mathcal {I}_{\alpha '}(t)=\chi ^2_{\alpha '}(t)/(\Delta {X})^2$, where $\chi _{\alpha '}(t)=\partial _{\alpha '}\langle X\rangle _t$ is the susceptibility of the observable $\langle X\rangle _t$ and $(\Delta X)^2$ is the variance of the other quadrature $X=(a+a^\dagger )/\sqrt {2}$ of the bosonic field. The mean value and variance of $X$ can easily be obtained as
Clearly, the inverted variance is independent of the real component of $\xi$ and the number of qubits. We further get the inverted variance of the relative parameter $A$ as $\mathcal {I}_A(\tau _n)=(\partial \alpha '/\partial A)^2\mathcal {I}_{\alpha '}(\tau _n)$, which exhibits the same critical behaviors as $\Delta \to 0$. As shown in Fig. 3(a), the inverted variance $\mathcal {I}_g(t)$ is of the same order to the QFI in both the normal and superradiant phases, indicating the potential application of such a system for quantum-enhanced sensing. Notice that, the arbitrary dynamics evolution accounting for the divergent behavior for both $\mathcal {I}_g$ and $\mathcal {F}_g$ at specific time points, is applicable to arbitrary pure or mixed state form with coherent states as the basis states.
![figure: Fig. 3.](/images/ajax-loader-big.gif)
Fig. 3. (a) Quantum sensing by homodyne detection of the bosonic field. The inverted variance $\mathcal {I}_g(\tau )$ as a function of the phase transition parameter $g$. Inset: The ratio $\mathcal {I}_g(\tau )/\mathcal {F}_g(\tau )$ reaches its local maximum with the evolution time $\tau =2\pi /\sqrt {\Delta }$. We here set $\xi =3i$. (b) QFI $\mathcal {F}_g(t)$ as a function of the evolution time $t$ for the different coherent parameter $\xi$ with $g=0.96$. Inset: The different ratio $\mathcal {I}_g(\tau )/\mathcal {F}_g(\tau )$ for the different coherent state.
Moreover, we go one step further to show the comparison with different coherent coefficient $\xi$. As shown in Fig. 3(b), the imaginary component of $\xi$ plays a crucial role in improvement of the relevant parameter precision; however, the real component of $\xi$ has a negative influence on such a measurement scheme. The cause lies in the fact that $\xi _i$ enhances the QFI but has no effect on the inverted variance. Additionally, as will be readily seen that as long as $\xi$ is chosen appropriately, the higher precision will be obtained when compared to the encoding scheme proposed in Ref. [13], where the bosonic field is initially in one of the Fock states.
Compared to the adiabatic sensing protocol proposed with quantum Rabi model [36], our calculations prove that such a dynamical protocol can achieve the Heisenberg limit, not resorting to the long operation time to satisfy the adiabatic condition. This thus relaxes the requirement when referring to the practical implementation of the protocol. Moreover, for the estimation of the bosonic field frequency, the conventional Ramsey interferometric protocol may also achieve the optimal Heisenberg-scaling precision; however, the preparation of a specific initial state would be a challenge.
6. Higher-order corrections
The analysis shown above is in the limit $\beta =\Omega /\omega \to \infty$, which is necessary for the occurrence of the SPT. We here show a higher-order correction by considering the imperfect frequency ratio of the qubits to the bosonic field. For this purpose, we expand the transformed operator $D$ as
It shows that the leading-order correction to $H_{np}$ is equivalent to a quartic potential for the bosonic field, with the coefficient inversely proportional to the number of qubits, indicating that the lack of the infinite frequency ratio in some extent can be compensated by the increase of the number of qubits. This result is verified by the numerical outcomes shown in Fig. 4(a). In addition, the leading-order correction can also be influenced by the alteration of the coherent parameter $\xi$. As Fig. 4(b) shows, in a way, the imperfect frequency ratio can be relaxed with the choice of a smaller pure imaginary $\xi$. In other words, there exists a trade-off as improvement in the inverted variance by increasing $\xi$ means strengthening the requirement for the frequency ratio.
![figure: Fig. 4.](/images/ajax-loader-big.gif)
Fig. 4. Ratio $\mathcal {I}^{\beta }_g(\tau )/\mathcal {I}_g(\tau )$ versus $\beta$ (in ${\rm log}_{10}[\cdot ]$) for (a) the selected number $N$ of qubits and $K$ and (b) the different coherent parameter $\xi$. The requirement of the infinite frequency ratio $\beta$ can be relaxed provided that, the number $N$ of the qubits increases, or, the coherent parameter $\xi$ decreases. We here set $G=0.1\omega$ and $g=0.96$.
The physical model could be implemented in kinds of spin-boson systems. For a circuit quantum electrodynamics architecture, the interaction between multiple superconducting qubits and a resonator is naturally described by the Tavis-Cummings model, while the squeezing driving can be realized by a Josephson-junction-coupled nonlinear process [43,44]. In an ion trap, such an interaction model can be achieved by the coupling between the internal and external degrees of freedom of multiple trapped ions, mediated by a laser tuned to the first red sideband, and the squeezing driving can be realized with a Raman-type driving [45].
7. Conclusion
In conclusion, we have presented the critical behaviors of multiple qubits coupled to a bosonic field with a squeezed drive. The introduction of a parametric drive induces an effective Dicke superradiance transition, without resorting to the strong qubit-field coupling, providing a new method to engineer the exotic transition in quantum systems. We have analytically solved the eigenenergies and eigenstates, and characterized the second-order SPT by using the ground state energy and the quantum metric. We have further proposed a criticality-enhanced quantum sensing scheme by making use of the system’s dynamics, where the obtained inverted variance is on the same order when compared to the QFI, exhibits a divergent scaling approaching the critical point. With the developed homodyne detection method used commonly, for instance, in circuit QED [46], the inverted variance, introduced to quantify the precision of the parameter estimation, can be reached. We found that the requirement for the infinite ratio of qubit-to-field frequency to realize the quantum sensing protocol can be relaxed by increasing the number of qubits, enhancing the feasibility of the explored case when referring to the practical implementation in experiment.
A. Analytical derivation of the quantum metric
We here show the detailed derivation of the quantum metric in the normal and superradiant phases. For $g<1$, the low-energy eigenstate of the effective Hamiltonian $H_{np}$ can be expressed as $\vert \phi ^0_{np}\rangle =S(r_{np})\vert 0\rangle \vert g\rangle ^{\otimes N}$. To calculate the quantum metric defined in Eq. (1), we get
The quantum metric can then be expressed as $g_{\mu \nu }={\rm Re}[Q_{\mu \nu }]$, where $\mu,\nu =\{\lambda,\Omega \}$ (see Eqs. (1) and (19) in the main text).
For $g>1$, the low-energy eigenstate is $\vert \phi ^0_{sp}\rangle =S(r_{sp})\vert 0\rangle \vert \tilde g^\pm \rangle ^{\otimes N}$, where $\vert \tilde g^\pm \rangle _j=\frac {1}{\sqrt {2}}(\mp \sqrt {1- g^{-2}}\vert e\rangle _j+\sqrt {1+ g^{-2}}\vert g\rangle _j)$. Then we have
The quantum metric in the superradiant phase can also be described as $g_{\mu \nu }={\rm Re}[Q_{\mu \nu }]$ (see Eqs. (1) and (20) in the main text).
B. Detailed derivation of the QFI
The effective Hamiltonian in the normal phase can be written as
Then, we simplify the expression $[H_{\alpha '},\hat \Lambda ]=\sqrt {\Delta }\hat \Lambda$ as
where $\hat \Lambda =i\sqrt {\Delta }\hat A-\hat B$, and find that Eq. (28) satisfies the equation with $\Delta =16\alpha _{n}(\alpha _{n}+2G)$. Next, we express the transformed local generator $h_{\alpha '}=-i(\partial _{\alpha '} U^\dagger _{\alpha '})U_{\alpha '}=i U^\dagger _{\alpha '}(\partial _{\alpha '} U_{\alpha '})$ using $\hat A$ and $\hat B$ asApparently, as $g\to g_c$, the third term in Eq. (31) makes the dominant role, and the QFI can then be given as
The situation is similar for $g>1$.
C. Finite-size scaling of the measurement precision enhancement
We here describe a finite-size scaling for the improvement of the measurement precision. We simplify the Hamiltonian in Eq. (3) as
We first simplify the whole Hamiltonian by use of the Holstein-Primakoff transformation, with the defined collective operators that are expressed with the newly introduced bosonic operators $b$ and $b^\dagger$:
We then substitute Eq. (34) into Eq. (33) and get
![figure: Fig. 5.](/images/ajax-loader-big.gif)
Fig. 5. Ratio $\mathcal {I}^{\beta }_g(\tau )/\mathcal {I}_g(\tau )$ versus the number $N$ of qubits for the different frequency ratio $\beta$. We here set $\xi =i$ and $g=0.96$.
D. Acquirement of the inverted variance
To realize the enhanced parameter sensitivity in practical implementation, we need the inverted variance, which is defined as $\mathcal {I}_g=\partial ^2_g\langle X\rangle _t/(\Delta {X})^2$, to approach the QFI $\mathcal {F}_g$ as close as possible. To quantize this, we require to do the measurement of the average field quadrature $\langle X\rangle _t$ at a specific time point for the dynamical evolution, by presetting a system parameter. This can be achieved by following the conventional homodyne detection method used commonly, for instance, in circuit QED (please see [46] as a review). Along with this, the derivation of $\langle X\rangle _t$ with respect to the modulated parameters $g$, i.e., $\partial _g\langle X\rangle _t$ can be obtained. To get the variance $\Delta {X}$, we can repeat multiple $(j=1,2,\ldots,N)$ measurements for such a parameter $g$, get the mean value $\overline {\langle X\rangle }$, and gain $\Delta X=\sqrt {\sum _{j=1}^{N}(\langle X\rangle _j-\overline {\langle X\rangle })/N}$.
Funding
National Natural Science Foundation of China (No. 11874114, No. 11875108, No. 12274080); National Youth Science Foundation of China (No. 12204105); Educational Research Project for Young and Middle-aged Teachers of Fujian Province (No. JAT210041); Natural Science Foundation of Fujian Province (No. 2021J01574, No. 2022J05116).
Disclosures
The authors declare that there are no conflicts of interest related to this article.
Data availability
Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.
References
1. Y. K. Wang and F. T. Hioe, “Phase Transition in the Dicke Model of Superradiance,” Phys. Rev. A 7(3), 831–836 (1973). [CrossRef]
2. K. Hepp and E. H. Lieb, “On the superradiant phase transition for molecules in a quantized radiation field: the Dicke maser model,” Ann. Phys. 76(2), 360–404 (1973). [CrossRef]
3. K. Rzażewski, K. Wódkiewicz, and W. Żakowicz, “Phase Transitions, Two-Level Atoms, and the A2 Term,” Phys. Rev. Lett. 35(7), 432–434 (1975). [CrossRef]
4. F. Dimer, B. Estienne, A. S. Parkins, and H. J. Carmichael, “Proposed realization of the Dicke-model quantum phase transition in an optical cavity QED system,” Phys. Rev. A 75(1), 013804 (2007). [CrossRef]
5. D. Nagy, G. Kónya, G. Szirmai, and P. Domokos, “Dicke-Model Phase Transition in the Quantum Motion of a Bose-Einstein Condensate in an Optical Cavity,” Phys. Rev. Lett. 104(13), 130401 (2010). [CrossRef]
6. K. Baumann, C. Guerlin, F. Brennecke, and T. Esslinger, “Dicke quantum phase transition with a superfluid gas in an optical cavity,” Nature 464(7293), 1301–1306 (2010). [CrossRef]
7. P. Forn-Díaz, L. Lamata, E. Rico, J. Kono, and E. Solano, “Ultrastrong coupling regimes of light-matter interaction,” Rev. Mod. Phys. 91(2), 025005 (2019). [CrossRef]
8. R.-H. Zheng, W. Ning, Y.-H. Chen, J.-H. Lü, L.-T. Shen, K. Xu, Y.-R. Zhang, D. Xu, H. Li, Y. Xia, F. Wu, Z.-B. Yang, A. Miranowicz, N. Lambert, D. Zheng, H. Fan, F. Nori, and S.-B. Zheng, “Emergent Schrödinger cat states during superradiant phase transitions,” (2022).
9. W. Qin, A. Miranowicz, P.-B. Li, X.-Y. Lü, J. Q. You, and F. Nori, “Exponentially Enhanced Light-Matter Interaction, Cooperativities, and Steady-State Entanglement Using Parametric Amplification,” Phys. Rev. Lett. 120(9), 093601 (2018). [CrossRef]
10. C. Leroux, L. C. G. Govia, and A. A. Clerk, “Enhancing Cavity Quantum Electrodynamics via Antisqueezing: Synthetic Ultrastrong Coupling,” Phys. Rev. Lett. 120(9), 093602 (2018). [CrossRef]
11. C. J. Zhu, L. L. Ping, Y. P. Yang, and G. S. Agarwal, “Squeezed Light Induced Symmetry Breaking Superradiant Phase Transition,” Phys. Rev. Lett. 124(7), 073602 (2020). [CrossRef]
12. L.-T. Shen, C.-Q. Tang, Z. Shi, H. Wu, Z.-B. Yang, and S.-B. Zheng, “Squeezed-light-induced quantum phase transition in the Jaynes-Cummings model,” Phys. Rev. A 106(2), 023705 (2022). [CrossRef]
13. J.-H. Lü, W. Ning, X. Zhu, F. Wu, L.-T. Shen, Z.-B. Yang, and S.-B. Zheng, “Critical quantum sensing based on the Jaynes-Cummings model with a squeezing drive,” Phys. Rev. A 106(6), 062616 (2022). [CrossRef]
14. M. Tavis and F. W. Cummings, “Exact Solution for an N-Molecule—Radiation-Field Hamiltonian,” Phys. Rev. 170(2), 379–384 (1968). [CrossRef]
15. M. Feng, Y. Zhong, T. Liu, L. Yan, W. Yang, J. Twamley, and H. Wang, “Exploring the quantum critical behaviour in a driven Tavis–Cummings circuit,” Nat. Commun. 6(1), 7111 (2015). [CrossRef]
16. P. Zanardi, P. Giorda, and M. Cozzini, “Information-Theoretic Differential Geometry of Quantum Phase Transitions,” Phys. Rev. Lett. 99(10), 100603 (2007). [CrossRef]
17. A. T. Rezakhani, D. F. Abasto, D. A. Lidar, and P. Zanardi, “Intrinsic geometry of quantum adiabatic evolution and quantum phase transitions,” Phys. Rev. A 82(1), 012321 (2010). [CrossRef]
18. D. Šafránek, “Discontinuities of the quantum Fisher information and the Bures metric,” Phys. Rev. A 95(5), 052320 (2017). [CrossRef]
19. J. P. Provost and G. Vallee, “Riemannian structure on manifolds of quantum states,” Commun. Math. Phys. 76(3), 289–301 (1980). [CrossRef]
20. M. Kolodrubetz, D. Sels, P. Mehta, and A. Polkovnikov, “Geometry and non-adiabatic response in quantum and classical systems,” Phys. Rep. 697, 1–87 (2017). [CrossRef]
21. D. Gutiérrez-Ruiz, J. Chávez-Carlos, D. Gonzalez, J. G. Hirsch, and J. D. Vergara, “Quantum metric tensor of the Dicke model: Analytical and numerical study,” Phys. Rev. B 105(21), 214106 (2022). [CrossRef]
22. D. Xiao, M.-C. Chang, and Q. Niu, “Berry phase effects on electronic properties,” Rev. Mod. Phys. 82(3), 1959–2007 (2010). [CrossRef]
23. X. Tan, D.-W. Zhang, Q. Liu, G. Xue, H.-F. Yu, Y.-Q. Zhu, H. Yan, S.-L. Zhu, and Y. Yu, “Topological Maxwell Metal Bands in a Superconducting Qutrit,” Phys. Rev. Lett. 120(13), 130503 (2018). [CrossRef]
24. L.-S. Lin, H.-L. Zhang, and Z.-B. Yang, “Method for the Quantum Metric Tensor Measurement in a Continuous Variable System,” Photonics 10(3), 256 (2023). [CrossRef]
25. M. V. Berry, “Quantal phase factors accompanying adiabatic changes,” Proc. R. Soc. Lond. A 392(1802), 45–57 (1984). [CrossRef]
26. M. D. Schroer, M. H. Kolodrubetz, W. F. Kindel, M. Sandberg, J. Gao, M. R. Vissers, D. P. Pappas, A. Polkovnikov, and K. W. Lehnert, “Measuring a topological transition in an artificial spin-1/2 system,” Phys. Rev. Lett. 113(5), 050402 (2014). [CrossRef]
27. P. Roushan, C. Neill, Y. Chen, et al., “Observation of topological transitions in interacting quantum circuits,” Nature 515(7526), 241–244 (2014). [CrossRef]
28. Z.-L. Zhang, M.-F. Chen, H.-Z. Wu, and Z.-B. Yang, “Quantum simulation of gravitational-like waves in minisuperspace with an artificial qubit,” Phys. Rev. D 95(4), 046010 (2017). [CrossRef]
29. B. Wang, H. Zhang, S. Yang, F. Wu, Z. Yang, and S. Zheng, “Scheme for Measuring Topological Transitions in a Continuous Variable System,” Adv. Quantum Technol. 6(6), 2300068 (2023). [CrossRef]
30. V. Yogesh and P. Maity, “Squeezing in the quantum Rabi model with parametric nonlinearity,” Eur. Phys. J. Plus 136(5), 571 (2021). [CrossRef]
31. G.-Q. Zhang, Z. Chen, and J. Q. You, “Experimentally accessible quantum phase transition in a non-Hermitian Tavis-Cummings model engineered with two drive fields,” Phys. Rev. A 102(3), 032202 (2020). [CrossRef]
32. J. Li, C. Zhu, and Y. Yang, “Squeezed light generated with hyperradiance without nonlinearity,” Opt. Lett. 47(14), 3439 (2022). [CrossRef]
33. M.-J. Hwang, R. Puebla, and M. B. Plenio, “Quantum Phase Transition and Universal Dynamics in the Rabi Model,” Phys. Rev. Lett. 115(18), 180404 (2015). [CrossRef]
34. V. Giovannetti, S. Lloyd, and L. Maccone, “Quantum-Enhanced Measurements: Beating the Standard Quantum Limit,” Science 306(5700), 1330–1336 (2004). [CrossRef]
35. C. L. Degen, F. Reinhard, and P. Cappellaro, “Quantum sensing,” Rev. Mod. Phys. 89(3), 035002 (2017). [CrossRef]
36. L. Garbe, M. Bina, A. Keller, M. G. A. Paris, and S. Felicetti, “Critical Quantum Metrology with a Finite-Component Quantum Phase Transition,” Phys. Rev. Lett. 124(12), 120504 (2020). [CrossRef]
37. T. Ilias, D. Yang, S. F. Huelga, and M. B. Plenio, “Criticality-Enhanced Quantum Sensing via Continuous Measurement,” PRX Quantum 3(1), 010354 (2022). [CrossRef]
38. L. Garbe, O. Abah, S. Felicetti, and R. Puebla, “Exponential time-scaling of estimation precision by reaching a quantum critical point,” Phys. Rev. Res. 4(4), 043061 (2022). [CrossRef]
39. R. Di Candia, F. Minganti, K. V. Petrovnin, G. S. Paraoanu, and S. Felicetti, “Critical parametric quantum sensing,” npj Quantum Inf. 9(1), 23 (2023). [CrossRef]
40. Cramér, Mathematical methods of statistics (Princeton University Press, 1999).
41. L. J. Fiderer, J. M. E. Fraïsse, and D. Braun, “Maximal Quantum Fisher Information for Mixed States,” Phys. Rev. Lett. 123(25), 250502 (2019). [CrossRef]
42. Y. Chu, S. Zhang, B. Yu, and J. Cai, “Dynamic Framework for Criticality-Enhanced Quantum Sensing,” Phys. Rev. Lett. 126(1), 010502 (2021). [CrossRef]
43. Z. Leghtas, S. Touzard, I. M. Pop, A. Kou, B. Vlastakis, A. Petrenko, K. M. Sliwa, A. Narla, S. Shankar, M. J. Hatridge, M. Reagor, L. Frunzio, R. J. Schoelkopf, M. Mirrahimi, and M. H. Devoret, “Confining the state of light to a quantum manifold by engineered two-photon loss,” Science 347(6224), 853–857 (2015). [CrossRef]
44. A. Grimm, N. E. Frattini, S. Puri, S. O. Mundhada, S. Touzard, M. Mirrahimi, S. M. Girvin, S. Shankar, and M. H. Devoret, “Stabilization and operation of a Kerr-cat qubit,” Nature 584(7820), 205–209 (2020). [CrossRef]
45. D. M. Meekhof, C. Monroe, B. E. King, W. M. Itano, and D. J. Wineland, “Generation of nonclassical motional states of a trapped atom,” Phys. Rev. Lett. 76(11), 1796–1799 (1996). [CrossRef]
46. A. Blais, A. L. Grimsmo, S. M. Girvin, and A. Wallraff, “Circuit quantum electrodynamics,” Rev. Mod. Phys. 93(2), 025005 (2021). [CrossRef]