Abstract
We propose the analogdigital quantum simulation of the quantum Rabi and Dicke models using circuit quantum electrodynamics (QED). We find that all physical regimes, in particular those which are impossible to realize in typical cavity QED setups, can be simulated via unitary decomposition into digital steps. Furthermore, we show the emergence of the Dirac equation dynamics from the quantum Rabi model when the mode frequency vanishes. Finally, we analyze the feasibility of this proposal under realistic superconducting circuit scenarios.
Introduction
The simplest, most fundamental interaction of quantum light and quantum matter can be described by the quantum Rabi model, consisting of the dipolar coupling of a twolevel system with a single radiation mode^{1}. The Dicke model^{2} was later introduced to generalize this interaction to an ensemble of N twolevel systems. Typically, the coupling strength is small compared to the transition frequencies of the twolevel system and the radiation mode, leading to effective JaynesCummings and TavisCummings interactions, respectively, after performing a rotatingwave approximation (RWA). This introduces a U(1) symmetry and integrability to the model for any N^{3,4}. Recently, analytical solutions for the generic quantum Rabi and Dicke models for N = 3 were found^{5,6}. However, the general case for arbitrary N is still unsolved, while its direct study in a physical system remains an outstanding challenge.
A variety of quantum platforms, such as cavity QED, trapped ions and circuit QED, provides a natural implementation of the JaynesCummings and TavisCummings models, due to the weak qubitmode coupling strength. When the latter is a fraction or comparable to the mode frequency, the model is said to be in the ultrastrong coupling (USC) regime. Experimental evidence of this regime has been observed in the optical^{7} and microwave domains^{8,9}. Coupling strengths larger than the mode frequency mark the transition towards the recently introduced deepstrong coupling (DSC) regime^{10}. Signatures of the latter may be retrieved effectively in different quantum systems^{11,12}, but an experimental observation of the full quantum Rabi and Dicke models in all parameter regimes has not yet been realized. In particular, the quantum simulation^{13} of the Dicke Hamiltonian could outperform analytical and numerical methods, while enabling the simulation of engineered superradiant phase transitions^{14,15,16}. Recently, technological improvements of controlled quantum platforms have increased the interest in quantum simulations^{17,18,19,20}. A digital approach to quantum simulations was put forward in Ref. 21. In this sense, it has been analyzed how suitable versions of digital quantum simulators can be implemented with available quantum platforms^{22,23,24,25}. Standard digital quantum simulations focus on the efficient decomposition of the quantum system dynamics in terms of elementary gates. In order to maximize the efficiency of the simulation, one may analyze which is the decomposition of the dynamics in its largest realizable parts and reduce the number of elementary interactions in the simulation. This approach can be labeled as analogdigital quantum simulation and corresponds to finding some terms in the simulated system that can be implemented in an analog way, e.g., to employ a harmonic oscillator to simulate a bosonic field, while others will be carried out with a digital decomposition.
In this article, we propose the analogdigital quantum simulation of the quantum Rabi and Dicke models in a circuit QED setup, provided only with JaynesCummings and TavisCummings interactions, respectively. We show how the rotating and counterrotating contributions to the corresponding dynamics can be effectively realized with digital techniques. By interleaved implementation of rotating and counterrotating steps, the dynamics of the quantum Rabi and Dicke models can be simulated for all parameter regimes with negligible error. Lastly, we show how a relativistic Dirac dynamics can be retrieved in the limit where the mode frequency cancels.
Results
We start by considering a generic circuit QED setup consisting of a chargelike qubit, e.g. a transmon qubit^{26}, coupled to a microwave resonator. The setup is well described by the Hamiltonian (ħ = 1)^{27}
where ω_{r} and ω_{q} are the resonator and qubit transition frequencies, g is the resonatorqubit coupling strength, a^{†}(a) is the creation(annihilation) operator for the resonator mode and σ^{±} raise and lower excitations on the qubit. The capacitive interaction in Eq. (1) excludes excitations of the higher levels of the qubit device, because typically the coupling g is much smaller than other transition frequencies of the system. By trying to design setups with larger capacitive couplings, pushing them above dispersive regimes, one starts to populate the higher levels of the transmons, producing unwanted leakage. On the other hand, methods based on orthogonal drivings of the qubits^{12,28} may increase the resonator population. Here, we show that the dynamics of the quantum Rabi Hamiltonian
can be encoded in a superconducting setup provided with a JaynesCummings interaction, as in Eq. (1), using a digital expansion.
The quantum Rabi Hamiltonian in Eq. (2) can be decomposed into two parts, H_{R} = H_{1} + H_{2}, where
and we have defined the qubit transition frequency in the two steps such that . These two interactions can be simulated in a typical circuit QED device with fast control of the qubit transition frequency. Starting from the qubitresonator Hamiltonian in Eq. (1), one can define a frame rotating at frequency , in which the effective interaction Hamiltonian becomes
with and . Therefore, Eq. (4) is equivalent to H_{1}, following a proper redefinition of the coefficients. The counterrotating term H_{2} can be simulated by applying a local qubit rotation to and a different detuning for the qubit transition frequency,
By choosing different qubitresonator detuning for the two steps, for the first one and for the rotated step, one is able to simulate the quantum Rabi Hamiltonian, Eq. (2), via digital decomposition^{21}, by interleaving the simulated interactions. The frequency scheme of the protocol is shown in Fig. 1. Standard resonant JaynesCummings interaction parts with different qubit transition frequencies are interrupted by microwave pulses, in order to perform customary qubit flips^{29}. This sequence can be repeated according to the digital simulation scheme to obtain a better approximation of the quantum Rabi dynamics.
The simulated Rabi parameters can be obtained as a function of the physical parameters of the setup by inverting the derivation presented above. In this way, one has that the simulated bosonic frequency is related to the resonator detuning , the twolevel transition frequency is related to the transmon frequency in the two steps, and the coupling to the resonator remains the same, g^{R} = g. Notice that even if the simulated twolevel frequency depends only on the frequency difference, large detunings will affect the total fidelity of the simulation. In fact, since the digital error depends on the magnitude of individual commutators between the different interaction steps, using larger detunings linearly increases the latter, which results in fidelity loss of the simulation. To minimize this loss, one can choose, for example, the transmon frequency in the second step to be tuned to the rotating frame, such that . Nevertheless, to avoid sweeping the qubit frequency across the resonator frequency, one may choose larger detunings. To estimate the loss of fidelity due to the digital approximation of the simulated dynamics, we consider a protocol performed with typical transmon qubit parameters^{26}. We estimate a resonator frequency of ω_{r}/2π = 7.5 GHz and a transmonresonator coupling of g/2π = 100 MHz. The qubit frequency ω_{q} and the frequency of the rotating frame are varied to reach different parameter regimes.
To perform the simulation for the quantum Rabi model with , for example, one can set , . In this way, one can define an interaction picture rotating at to encode the dynamics of the quantum Rabi model with minimal fidelity loss. Considering that singlequbit rotations take approximately ~ 10 ns, tens of Trotter steps could be comfortably performed within the coherence time. Notice that, in performing the protocol, one has to avoid populating the third level of the transmon qubit. Taking into account transmon anharmonicities of about α = −0.1, for example, in this case one has third level transition frequencies of 6.795 GHz and 6.705 GHz. Therefore, given the large detuning with the resonator, it will not be populated. Similarly, by choosing different qubit detunings and rotating frames, one can simulate a variety of parameter regimes, e.g. see Table I.
Discussion
In order to capture the physical realization of the simulation, we plot in Fig. 2 the behavior of the transmonresonator system during the simulation protocol. We numerically integrate a master equation, alternating steps of JaynesCummings interaction with singlequbit flip pulses. We consider , with JaynesCummings terms , alternated with qubitflip operations H_{f} = f(t)σ^{x}, where f(t) is a smooth function such that , T_{f} being the qubit bitflip time. The quantum dynamics is affected by Lindblad superoperators Γ_{ϕ}L(σ^{z})ρ, Γ_{−}L(σ^{−})ρ and κL(a)ρ modelling qubit dephasing, qubit relaxation and resonator losses. We have defined L(A)ρ = (2AρA^{†} − A^{†}Aρ − ρA^{†}A)/2. We set a resonatorqubit coupling of g/2π = 80 MHz and a frame rotating at the qubit frequency, , . We consider Γ_{−}/2π = 30 kHz, Γ_{ϕ}/2π = 60 kHz and κ/2π = 100 kHz. The inset of Fig. 2 shows collapses and revivals of both the photon and spin dynamics, which are typical signatures of the regimes of the quantum Rabi dynamics dominated by the coupling strength. We consider prototypical DSC dynamics, with and . Notice that to encode the dynamics corresponding to a certain simulated time t, one needs the quantum simulator to run for a simulating time , that depends on the specific gate times of the experiment. We choose to set the simulation at the time marked by the black arrow, close to the photon population peak in the inset. A simulation with 15 digital steps is then performed. The time for a single qubit flip pulse is set to T_{f} = 10 ns. Periodic collapses and revivals of the bosonic population of the quantum Rabi model 〈a^{†}a〉_{R} are shown as a function of time, in the inset. The ideal spin and bosonic populations 〈σ_{z}〉_{R} and 〈a^{†}a〉_{R}, evolving according to the quantum Rabi Hamiltonian, are shown to be in good agreement with the simulated ones, 〈σ_{z}〉 and 〈a^{†}a〉, at the final simulated time. In fact, during the JaynesCummings interaction parts, photons are pumped into the resonator. Afterwards, before the photon population starts to decrease due to excitation exchanges with the transmon qubit, a qubit flip further enhances the photon production.
The simulation protocol can be performed for every time of the dynamics, with the number of digital steps tuned to reach a satisfactory simulation fidelity. We plot in Fig. 3 the fidelity F = 〈Ψ_{S}Ψ_{R}〉^{2} as a function of time of the simulated wavefunction Ψ_{S}, including resonator and spin degrees of freedom, versus the ideal one Ψ_{R}, evolving according to H_{R}, as defined in Eq. (2). The fidelity is plotted for different parameters and iteration steps. Increasing the number of steps, the fidelity grows as expected from standard SuzukiLieTrotter expansions^{30}. In principle, the whole protocol can accurately access nonanalytical regimes of these models, including USC and DSC regimes.
By adding several transmon qubits to the architecture, the presented method can be extended to simulate the Dicke Hamiltonian
This simulation can be efficiently implemented by means of collective qubit rotations. In fact, only collective TavisCummings interactions and global qubit rotations are involved. In this way, the total time for the simulation does not scale with the size of the system N. The Dicke model can be investigated provided enough coherence and lowenough gate errors. Notice that this kind of quantum simulation is well suited for superconducting circuits, since simultaneous singlequbit addressing is possible. Making use of the results in Refs. 31, 32, we demonstrate that the quantum resources needed to approximate the Dicke Hamiltonian with an error less than scale efficiently with the number of spins N and of excitations allowed in the bosonic mode M. In a Dicke model simulation, one can bound the number of gates necessary to achieve a certain error in a time t by
Here, we have used an upper bound for the norm of the Dicke Hamiltonian, , where M is a truncation on the number of bosonic excitations involved in the dynamics. The fractal depth is set to k = 1 in the standard Trotter approximations. Using higher orders of fractal decompositions would be a more involved task for implementation of digital approximations in realistic devices, due to the sign inversion that appears^{30}. Nevertheless, unitary approximants with arbitrarily high fidelity can be obtained even when k = 1. The formula in Eq. (7) gives an upper bound to the scaling of quantum resources and experimental errors in a simulation involving several qubits. In fact, if one considers a small error for each gate, the accumulated gate error grows linearly with the number of gates.
Notice that the quantum dynamics of the Dirac Hamiltonian emerges as a specific case of the quantum Rabi dynamics. For the 1+1 dimensional case the algebra of the Dirac spinors Ψ〉 corresponds to that of Pauli matrices and the Dirac equation in the standard representation can be written
where m is the mass of the particle, c is the speed of light and p ∝ (a − a^{†})/i is the onedimensional momentum operator. The Dirac Hamiltonian in Eq. (8), H_{D} = mc^{2}σ_{z} + cpσ_{x}, shows the same mathematical structure as the quantum Rabi Hamiltonian, Eq. (2), when . This condition can be achieved by choosing . The analogy is complete by relating mc^{2} to , c to g^{R} and the momentum to the quadrature of the microwave field, which can be measured with current microwave technology^{33}. Choosing an initial state with components in both positive and negative parts of the Dirac spectrum will allow the measurement of the Zitterbewegung^{34,35}. By retrieving different quadratures of the microwave field, one can detect this oscillatory motion of the simulated particle in the absence of forces and the Klein paradox, where a relativistic particle can tunnel through highenergy barriers. To detect such effects, one will be interested in measuring either the position or the momentum of the particle, standing for different quadratures of the microwave field.
In conclusion, we have shown that the dynamics of the quantum Rabi and Dicke models can be encoded in a circuit QED setup using an analogdigital approach. These quantum simulations will contribute to the observation of quantum dynamics not accessible in current experiments.
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Acknowledgements
This work is supported by Basque Government IT47210 Grant, Spanish MINECO FIS201236673C0302, Ramón y Cajal Grant RYC201211391, UPV/EHU UFI 11/55, an UPV/EHU PhD grant, CCQED, PROMISCE and SCALEQIT European projects. UPV/EHU Project No. EHUA14/04.
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A.M. did the calculations and the numerical analysis in Fig. 2. U.L.H. did the numerical analysis in Fig. 3. A.M., U.L.H., J.S.P., L.D., E.S. and L.L. contributed to the developing of the ideas, obtention of the results and writing of the manuscript.
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Mezzacapo, A., Las Heras, U., Pedernales, J. et al. Digital Quantum Rabi and Dicke Models in Superconducting Circuits. Sci Rep 4, 7482 (2014). https://doi.org/10.1038/srep07482
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DOI: https://doi.org/10.1038/srep07482
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