Abstract
Quantum entanglement and coherence are both essential physical resources in quantum theory. Cold polar molecules have long coherence time and strong dipole-dipole interaction and thus have been suggested as a platform for quantum information processing. In this paper, we employ the pendular states of the polar molecules trapped in static electric fields as the qubits, and put forward several theoretical schemes to generate the entanglement and coherence for two coupled dipoles by using optimal control theory. Through the designs of appropriate laser pulses, the transitions from the ground state to the Bell state and maximally coherent state can be realized with high fidelities 0.9906 and 0.9943 in the two-dipole system, respectively. Meanwhile, we show that the degrees of entanglement and coherence between the two pendular qubits are effectively enhanced with the help of optimized control fields. Furthermore, our schemes are generalized to the preparation of the Hardy state and even to the creation of arbitrary two-qubit states. Our findings can shed some light on the implementation of quantum information tasks with the molecular pendular states.
© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
1. Introduction
Since proposed originally by Feynman [1] in 1982, the quantum computer has attracted much interest due to its powerful computation ability. In theory, the quantum computation can be able to provide speedups for some certain tasks at an exponential rate, which may revolutionize the computer science in the future [2–4]. Until now, various physical systems have been presented to realize the quantum computer, such as trapped ions [5–7], nuclear magnetic resonance [8, 9], quantum dots [10, 11], superconducting circuit [12–14], etc. In 2002, DeMille [15] suggested encoding the qubits in pendular states of the ultracold polar molecules which are trapped in optical lattice, oriented along or against the external electric field and correlated by the dipole-dipole interaction. On the other hand, methods and techniques for cooling, trapping and controlling polar molecules have been developing rapidly for several decades [16–23]. Nowadays, the polar molecules can be considered as a hopeful candidate for quantum computation due to their long coherence time and strong dipole-dipole interactions [24–28].
Quantum entanglement and coherence play essential roles in quantum computation, both of which arise from the superposition principle of the quantum mechanics [29–31]. It is well accepted that the multitude of superpositions of the molecular qubits are of significance for quantum parallelism. Thus, a number of researches on the quantum correlations and coherence of the polar molecules have been carried out theoretically and experimentally in recent years [32–41]. For example, Mishima et al. [32] investigated the generation of the entanglement between molecular ro-vibrational states using chirped pulses. Wei et al. [33] examined the influences of the Starkeffect and dipole interaction on the linear dipoles. Liao [35] proved that the entanglement of the adsorbed polar molecules is important with the assistance of anticrossing between the energy levels. Moreover, See ßelberg et al. [41] achieved the enhancement of the rotational coherence time for a dilute gas of polar molecules in a spin-decoupled magic trap. Yu et al. [42] performed the optimal control simulations for the coupled field-free quantum planar rotors in rotational states, and realized the maximal orientation and entanglement. To our knowledge, the polar molecules in the static electric fields with gradient may be more suitable for quantum computing, since the pendular qubit states of the dipoles with different Stark effect can be individually addressable [15, 33]. The aim of the present paper is to design optimal laser pulses by the optimal control theory (OCT) for generating the intermolecular entanglement and coherence in the presence of external electric fields. In general, the quantum OCT is an effective approach to find the optimal solution of a physical problem under constrain conditions, which has been applied to the orientation and alignment of molecules [43, 44], the implementation of basic quantum logic gates and quantum algorithm [45–49], the discrimination of isotopologues mixture [50, 51], etc. Here, the BaI molecules [52] are taken as a demonstration, and the OCT is adopted to achieve the transition from the molecular ground states to the Bell states and maximally coherent states. Our results indicate that the entanglement and the coherence of the two coupled polar molecules, which are measured by the concurrence and the relative entropy respectively, can be markedly enhanced by utilizing the optimized laser pulses. In the meantime, the dynamics of the molecular populations are given to exhibit the generation processes of the target states in numerical simulations. Moreover, we also realize the conversion of the entangled state to the coherent state. Furthermore, by using the OCT we create a two-qubit state lying between the separable state and the maximally entangled state, called Hardy state, which can be able to demonstrate the differences of the quantum theory and the classical physics. Our results could shed some new light on quantum information processing based on pendular qubit states of molecular systems.
This paper is organized as follows. In Section II, we briefly review the model of coupled polar molecules in pendular states, the definitions of concurrence and relative entropy of coherence (REC), as well as the rapidly convergent iteration methods for OCT. In Section III, we present the numerical results of the optimal control simulations, including the optimal control fields, the evolutions of concurrence and REC, and the population transfer from the initial states to the target states. We summarize our conclusions in Section IV.
2. Theory
2.1. Polar molecules in pendular states
For a trapped ultracold polar diatomic molecule in a static electric field, the Hamiltonian is given by [33]
Here, B is the rotational constant, J is the angular momentum operator, θ is the angle between the molecular permanent dipole moment and the external electric field ϵ. The molecular dipole is induced to oscillate about the field direction in an angular range, and then the low rotational states are superposed as the pendular states . Note that is not a good quantum number any more because of the Stark effect, whereas M (the projection of J on the field axis) remains good. According to DeMille’s proposal, the qubits and are encoded by the two lowest pendular states and respectively, which can be written as
where are spherical harmonics, aj and bj are corresponding coefficients. In this way, the molecular orientations can be represented by and , while the transition dipole moment between the pendular qubit states and can be denoted as .For the case of two identical polar diatomic molecules at a distance of r12, the dipole-dipole interaction for M = 0 can be simplified by averaging the azimuthal angle and takes the following form [33, 34]
Here, , α is the angle between r12 and the field direction, and is the angle between the dipole moment and the electric field. Therefore, the total Hamiltonian of two coupled polar molecules in external field is given by
Under the basis of the pendular qubits , the items of the above Hamiltonian can be expanded as
Here, and are the eigenenergies corresponding to the pendular states and respectively, I is a two-dimensional identity matrix, , and are molecular orientations and transition dipole moment mentioned above.
2.2. Quantifications of entanglement and coherence
To evaluate the amount of the entanglement among the pendular states of the two coupled molecules, here we employ the concurrence which is defined as [53]
with the eigenvalues in descending order of the matrixHere, ρ is the density matrix of an arbitrary two-qubit state, denotes the complex conjugate of ρ, and σy is the Pauli operator in y direction. It is well accepted that for the maximally entangled states C = 1 and for the completely separable states C = 0, the value of C is between 0 and 1 while the bipartite system is partially entangled.
Recently, Baumgratz et al. [54] demonstrated that the coherence for a physical system can be quantified by the minimal distance between the arbitrary quantum state ρ and the incoherent state δ, which can be given in the form of relative entropy:
where N represents the collection of all incoherent states, is the density matrix obtained by deleting all the off-diagonal elements of ρ, and is the von Neumann entropy. It is easy to prove that the REC of two qubits varies from 0 for an incoherent state to 2 for a maximally coherent state. In this theoretical investigation, we utilize the REC to evaluate the degree of the two coupled molecular coherence.2.3. Methods for quantum optimal control
The basic principle of the quantum OCT is to maximize the transition probability and to simultaneously minimize the control laser energy. To this end, the objective function for optimal control can be constructed as follows [55]
Here, is the laser field which can drive the wave function from the initial state to the target state , α0 is the penalty factor employed to control the laser intensity, is the laser shape function with duration time T, is the Lagrange multiplier which forms the Schrödinger equation with the wave function under boundary conditions. Note that the first term on the right-hand side can be defined as the fidelity between the final state of laser-driven wave function and the target state, i.e., . To obtain the optimal control laser, the maximum value of the objective function needs to be calculated. Requiring , we have [47, 55]
with where . In general, it is difficult to solve the above coupled nonlinear equations straightforward. Throughout this paper, we adopt the rapidly convergent iteration method [55], which incorporates feedback from control field in an entangled fashion and can reach the convergent limit within a few steps.3. Results
The numerical results of the optimal control for intermolecular entanglement and coherence are shown in this section. For the BaI molecule, the permanent dipole moment is and the rotational constant is [52]. To achieve the addressability of the pendular qubits, the two polar molecules are assumed to be located in different electric fields with the intensities being and , respectively. For simplicity, the electric fields are supposed to be perpendicular to the direction of r12, i.e., . Here, the intermolecular distance r12 is set as . Based on the above physical parameters, we can obtain the transition frequencies between the energy levels of the two coupled BaI molecules in the presence of dipole-dipole interaction, as shown in Table I. It is found that the frequency shift , which is in good agreement with the results in [33]. Accordingly, the duration of the laser pulse is set to be [56]. Generally speaking, the polar molecules mostly populate in ground state at ultracold temperatures, which means that the ground state can be regarded as a reasonable initial state of the laser-driven function . Because of the dipole-dipole interaction, there might exist entanglement between the pendular qubits even in the absence of control laser fields. However, the entanglement of the coupled polar molecules in ground state is so weak, about (characterized by the concurrence), that almost it can be negligible. Thereby, we consider the ground product state to be the initial state in Eq. (10), i.e., . Moreover, in the following we adopt the fourth-order Runge-Kutta algorithm with steps of to solve the time-dependent Schrödinger equations, and take the penalty factor to limit the laser energies.
In order to generate the strong entanglement of the pendular qubits, we first select the Bell state as the target state. The convergence criterion in iterative process is set to be , where is the difference of the concurrence between the adjacent iteration numbers. Fig. 1(a) exhibits the variation trends of the concurrence, REC, and fidelity with respect to the number of iteration steps. It indicates that the concurrence and the fidelity have the similar convergent behaviors, both of which first increase rapidly and then tend to steadily with the growth of iteration numbers. After 2561 iterations, the value of concurrence increases to from 0 while the one of fidelity increases to from . Compared with the concurrence, the value of REC eventually tends to 1 rather than the ideal value of 2 under the control field, which is because the target state is not maximally coherent. We present the converged laser pulse versus the last iteration in Fig. 1(b). The amplitude of the optimized field is about , which is smaller than the maximum value of the initial field with . Driven by the optimized laser, the concurrence approaches its maximum value through the evolution over . It implies that the entanglement between the two coupled dipoles can be significantly enhanced by means of the optimal control. Moreover, the power spectrum of the optimal field is obtained by Fourier transform. From Fig. 1(c), we can see that the spectrum consists of one main peak and a lot of small peaks. The frequency of the main peak approximately coincides with the transition frequency between the ground state and the excited state . To illustrate the generation process of the Bell state more intuitively, in Fig. 1(d) we plot the populations as a function of evolution time. In what follows, the populations in different energy levels are defined as , where are the coefficients of wave function . As we expect, the population P1 for ground state reduces from 1 to whereas the P4 for state increases from 0 to . At the same time, the populations P2 andP3 in the two intermediate levels come close to 0 in the end, nearly returning to their initial values. Additionally, the fast beating of the populations can be observed during the evolution, which reflects the sharp and repetitive transitions among different energy levels.
In previous works, we have investigated the effects of intrinsic decoherence on the entanglement of the coupled dipoles in different initial states [38, 39]. The Bell state is proven to be more robust against the intrinsic noises from the external environment than the Bell state . Thus, we turn to choose as the target state. Here, the initial laser is set to be with . As shown in Fig. 2(a), the behaviors of the concurrence, REC, and fidelity versus iteration numbers are similar to the case of Fig. 1(a), except that the initial value of the fidelity is 0 instead of . Under the same convergence criterion, after 300 iterations the values of the concurrence and the fidelity can reach and , respectively. As before, the REC of the molecular system approximates to 1 at the end of iteration. The converged control field after the optimization is given in Fig. 2(b) and its power spectrum is plotted in Fig. 2(c). It is found that the optimized laser has two high and narrow peaks with similar intensities, corresponding to the transition frequencies of the two coupled BaI molecules from and . The dynamics of populations during the evolution is depicted in Fig. 2(d), which can clearly indicate that the population of ground state is transferred to the intermediate states and after plenty of repetitive oscillations.
As we know, the computational basis states are required to be largely superposed for quantum computation, so it is necessary to design the control laser to achieve the enhancement of the coherence between the polar molecules. According to the definition for REC, we can choose as the maximally coherent state. However, it is not hard to find that this state actually is a product state with the form of , where . Therefore, we turn to consider another maximally coherent state to be the target state instead. This state is maximally entangled as well, since it can be rewritten as the form of Bell state with . To generate the intermolecular coherence as much as possible, here we reset the convergence criterionas , where is the difference of the REC between the adjacent iteration numbers. The initial laser control field is chosen as to attain good convergence in numerical calculations. From Fig. 3(a), we find that the REC and concurrence of the final state can be very close to their respective maximum values just through 1 iteration, where after they hardly increase as the iteration number grows. Additionally, the fidelity of the desired state can reach after the final iteration. This maybe lies in that the initial control field contains four transition frequencies, which can contribute to the generation of the target state consisting of four eigenvectors. However, due to the fact that the transition frequencies and (see Table I), the power spectrum of the converged laser pulse only exhibits two obvious main peaks rather than four ones, as plotted in Fig. 3(c). Again, applying the optimized laser pulse (shown in Fig. 3(b)) to the two coupled molecules, we obtain the time evolutions of the populations (see Fig. 3(d)). One can find that the final populations are , , , and . This means that the population of the ground state almost evenly distributes to the four energy levels at the end of the evolution. Moreover, we observe that the optimized laser is composed of two sub-pulses with different amplitudes. By contrasting Figs. 3(b) and 3(d), it is found that the oscillation frequencies of the populations seem to have a positive correlation with the maximum strength of the sub-pulses, i.e., the optimized control field with the larger amplitude will lead to more rapid oscillations during the evolution.
We have performed the optimal control for the molecular transitions from the ground state to the entangled or coherent states in the above studies. At present, an interesting question is whether the transition can be realized between the maximally entangled state and the maximally coherent state. To check this, we set the Bell state as the initial state, the non-entangled coherent state as the target state, and the laser pulse as the initial control field. In this case, the value of the REC increases from 1 to after 124 iterations, whereas the concurrence monotonously decays with the iteration numbers growing and evolves to 0 asymptotically (see Fig. 4(a)). The converged laser pulse is depicted in Fig. 4(b), whose power spectrum has three frequencies versus the level transitions , , and , as shown in Fig. 4(c). Moreover, the results of the population transfer shown in Fig. 4(d) are in line with our expectations as well. Furthermore, it should be mentioned that the opposite transfer
can also be successfully achieved through the optimization, here we do not go into details any more.
Up to now, we only choose several special quantum states as the target states for the generation of intermolecular entanglement and coherence. In fact, arbitrary superposition states can be created by using the method of OCT. Hardy state is one of the non-maximally entangled states for a two-particle system, which can be used to reveal the conflict between quantum physics and local realism [57]. On the basis of Hardy’s theorem, the Hardy state can be abbreviated as , where [58]. The probability of the Hardy state violating the local realism is
When , , the probability has the maximum value. Now, the Hardy state with the maximum violation probability is taken as the target state in the optimal control simulation. Here, we set the convergence criterion as the difference of the fidelity and suppose that the initial control field is same as the one of Fig. 2. From Fig. 5(a), we find that the fidelity of the final state can reach after 257 iterations. However, the concurrence versus the last iteration is far from its maximum value. The converged laser pulse and its power spectrum are plotted in Figs. 5(b) and 5(c), respectively. Finally, in Fig. 5(d) we provide the evolution behaviors of the populations driven by the optimized laser pulse. We can see that the terminal values of the populations are , , , and , nearly matching with their respective theoretical values. Thus, it maybe turns out that the OCT is a valid method to create arbitrary molecular states that we need.
4. Conclusions
In summary, by taking the BaI molecule as a test case, we have theoretically performed the optimal control on the two coupled dipoles in static fields with appreciable intensity gradient for generating the entanglement and coherence between the pendular states. Our results show that the fidelity, concurrence, and REC of the final states monotonously increase with the iteration numbers, and eventually reach the convergence limit in an asymptotical way. The desired control fields are obtained after multiple iterations, which can drive the molecular system from the ground state to the maximally entangled or coherent states. Accordingly, the concurrence and the REC of the two coupled dipoles are approximately enhanced to their respective maximum values after optimizing. During the evolutions, the populations in different energy levels oscillate many times, possibly resulting from the short evolution period of the molecular system and the strong couplings between different states. Moreover, the transition dynamic between the Bell state and the coherent state is achieved as well. Finally, we have created the Hardy state by designing a suitable laser pulse, which indicates that the OCT is a general approach to prepare arbitrary quantum states for dipole-dipole system.
It is worth mentioning that the coherence time on the scale of millisecond was demonstrated experimentally in the system of polar molecules. For example, the rotational coherence time of the ultracold polar molecules trapped in optical lattice is able to reach a few milliseconds at a magic angle [59], and can also be extended to tens of milliseconds via spin-echo techniques [60]. For a dilute gas of ultracold molecules, the rotational coherence time of almost 10 ms was realized in a spin-decoupled magic lattice [41]. Furthermore, for the polar YbF molecules which are cooled below , its coherence time can even exceed 150 ms [61]. In our work, the duration of the designed optimal laser pulses is about ps, which is much less than the millisecond-scale coherence time. In such a short duration, the decoherence effect of pendular qubits is almost negligible, i.e., before decoherence the population transfer between the pendular states of the polar molecules is completed very quickly under the optimal control fields. Additionally, it should be noted that the current work only involves the case of two polar molecules in pendular states. In general, the generation of the multipartite entanglement or coherence may be more meaningful for quantum information processing. We will explore the applications of the OCT to quantum tasks [62] based on the pendular states of multiple polar molecule arrays in the future.
Funding
National Key Research and Development Program of China (2016YFB0501601); National Natural Science Foundation of China (11174081); Natural Science Foundation of Shanghai (16ZR1448300).
Acknowledgments
The authors thank Dr. Yifan Xing and Mr. Hefei Huang for useful discussions.
References
1. R. P. Feynman, “Simulating physics with computers,” Int. J. Theor. Phys. 21, 467–488 (1982). [CrossRef]
2. P. W. Shor, “Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer,” SIAM J. Comput. 26, 1484–1509 (1997). [CrossRef]
3. L. K. Grover, “Quantum mechanics helps in searching for a needle in a haystack,” Phys. Rev. Lett. 79, 325–328 (1997). [CrossRef]
4. M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information (Cambridge University, 2010). [CrossRef]
5. L. F. Wei, S. Y. Liu, and X. L. Lei, “Quantum computation with two-level trapped cold ions beyond Lamb-Dicke limit,” Phys. Rev. A 65, 062316 (2002). [CrossRef]
6. H. Häffner, C. F. Roos, and R. Blatt, “Quantum computing with trapped ions,” Phys. Rep. 469, 155–203 (2008). [CrossRef]
7. E. R. Hudson and W. C. Campbell, “Dipolar quantum logic for freely rotating trapped molecular ions,” Phys. Rev. A 98, 040302 (2018). [CrossRef]
8. J. A. Jones and M. Mosca, “Implementation of a quantum algorithm on a nuclear magnetic resonance quantum computer,” J. Chem. Phys. 109, 1648–1653 (1998). [CrossRef]
9. Z. S. Wang, G. Q. Liu, and Y. H. Ji, “Noncyclic geometric quantum computation in a nuclear-magnetic-resonance system,” Phys. Rev. A 79, 054301 (2009). [CrossRef]
10. D. Loss and D. P. DiVincenzo, “Quantum computation with quantum dots,” Phys. Rev. A 57, 120–126 (1998). [CrossRef]
11. B.-C. Ren and F.-G. Deng, “Hyper-parallel photonic quantum computation with coupled quantum dots,” Sci. Rep. 4, 4623 (2014). [CrossRef] [PubMed]
12. N. Chancellor and S. Haas, “Scalable universal holonomic quantum computation realized with an adiabatic quantum data bus and potential implementation using superconducting flux qubits,” Phys. Rev. A 87, 042321 (2013). [CrossRef]
13. C. Song, S.-B. Zheng, P. Zhang, K. Xu, L. Zhang, Q. Guo, W. Liu, D. Xu, H. Deng, K. Huang, D. Zheng, X. Zhu, and H. Wang, “Continuous-variable geometric phase and its manipulation for quantum computation in a superconducting circuit,” Nat. Commun. 8, 1061 (2017). [CrossRef] [PubMed]
14. T. Liu, B.-Q. Guo, C.-S. Yu, and W.-N. Zhang, “One-step implementation of a hybrid Fredkin gate with quantum memories and single superconducting qubit in circuit QED and its applications,” Opt. Express 26, 4498–4511 (2018). [CrossRef] [PubMed]
15. D. DeMille, “Quantum computation with trapped polar molecules,” Phys. Rev. Lett. 88, 067901 (2002). [CrossRef] [PubMed]
16. L. D. Carr, D. DeMille, R. V. Krems, and J. Ye, “Cold and ultracold molecules: science, technology and applications,” New J. Phys. 11, 055049 (2009). [CrossRef]
17. O. Dulieu and C. Gabbanini, “The formation and interactions of cold and ultracold molecules: new challenges for interdisciplinary physics,” Rep. Prog. Phys. 72, 086401 (2009). [CrossRef]
18. J. F. Barry, D. J. McCarron, E. B. Norrgard, M. H. Steinecker, and D. DeMille, “Magneto-optical trapping of a diatomic molecule,” Nature 512, 286–289 (2014). [CrossRef] [PubMed]
19. A. Prehn, M. Ibrügger, R. Glöckner, G. Rempe, and M. Zeppenfeld, “Optoelectrical cooling of polar molecules to submillikelvin temperatures,” Phys. Rev. Lett. 116, 063005 (2016). [CrossRef] [PubMed]
20. D. J. McCarron, M. H. Steinecker, Y. Zhu, and D. DeMille, “Magnetic Trapping of an Ultracold Gas of Polar Molecules,” Phys. Rev. Lett. 121, 013202 (2018). [CrossRef] [PubMed]
21. S. Truppe, H. J. Williams, M. Hambach, L. Caldwell, N. J. Fitch, E. A. Hinds, B. E. Sauer, and M. R. Tarbutt, “Molecules cooled below the Doppler limit,” Nat. Phys. 13, 1173–1176 (2017). [CrossRef]
22. K. Lin, I. Tutunnikov, J. Qiang, J. Ma, Q. Song, Q. Ji, W. Zhang, H. Li, F. Sun, X. Gong, H. Li, P. Lu, H. Zeng, Y. Prior, I. Sh. Averbukh, and J. Wu, “All-optical field-free three-dimensional orientation of asymmetric-top molecules,” Nat. Commun. 9, 5134 (2018). [CrossRef] [PubMed]
23. X. Xie, S. Yu, W. Li, S. Wang, and Y. Chen, “Routes of odd-even harmonic emission from oriented polar molecules,” Opt. Express 26, 18578–18596 (2018). [CrossRef] [PubMed]
24. S. F. Yelin, K. Kirby, and R. Côté, “Schemes for robust quantum computation with polar molecules,” Phys. Rev. A 74, 050301 (2006). [CrossRef]
25. F. Herrera, Y. Cao, S. Kais, and K. B. Whaley, “Infrared-dressed entanglement of cold open-shell polar molecules for universal matchgate quantum computing,” New J. Phys. 16, 075001 (2014). [CrossRef]
26. M. Karra, K. Sharma, B. Friedrich, S. Kais, and D. Herschbach, “Prospects for quantum computing with an array of ultracold polar paramagnetic molecules,” J. Chem. Phys. 144, 094301 (2016). [CrossRef] [PubMed]
27. Q. Wei, Y. Cao, S. Kais, B. Friedrich, and D. Herschbach, “Quantum computation using arrays of N polar molecules in pendular states,” ChemPhysChem , 17, 3714–3722 (2016). [CrossRef] [PubMed]
28. K.-K. Ni, T. Rosenband, and D. D. Grimes, “Dipolar exchange quantum logic gate with polar molecules,” Chem. Sci. 9, 6830–6838 (2018). [CrossRef] [PubMed]
29. L.-M. Duan and G-C. Guo, “Preserving coherence in quantum computation by pairing quantum bits,” Phys. Rev. Lett. 79, 1953–1956 (1997). [CrossRef]
30. W. Dür and H.-J. Briegel, “Entanglement purification for quantum computation,” Phys. Rev. Lett. 90, 067901 (2003). [CrossRef] [PubMed]
31. A. Datta and G. Vidal, “Role of entanglement and correlations in mixed-state quantum computation,” Phys. Rev. A 75, 042310 (2007). [CrossRef]
32. K. Mishima, K. Shioya, and K. Yamashita, “Generation and control of entanglement and arbitrary superposition states in molecular vibrational and rotational modes by using sequential chirped pulses,” Chem. Phys. Lett. 442, 58–64(2007). [CrossRef]
33. Q. Wei, S. Kais, B. Friedrich, and D. Herschbach, “Entanglement of polar molecules in pendular states,” J. Chem. Phys. 134, 124107 (2011). [CrossRef] [PubMed]
34. Q. Wei, S. Kais, B. Friedrich, and D. Herschbach, “Entanglement of polar symmetric top molecules as candidate qubits,” J. Chem. Phys. 135, 154102 (2011). [CrossRef] [PubMed]
35. Y.-Y. Liao, “Anticrossing-mediated entanglement of adsorbed polar molecules,” Phys. Rev. A 85, 023415 (2012). [CrossRef]
36. M. Vatasescu, “Entanglement between electronic and vibrational degrees of freedom in a laser-driven molecular system,” Phys. Rev. A 88, 063415 (2013). [CrossRef]
37. Y.-J. Li and J.-M. Liu, “Tripartite quantum correlations of polar molecules in pendular states,” Acta Phys. Sin. 63, 200302 (2014).
38. Z.-Y. Zhang and J.-M. Liu, “Quantum correlations and coherence of polar symmetric top molecules in pendular states,” Sci. Rep. 7, 17822 (2017). [CrossRef] [PubMed]
39. Z.-Y. Zhang, D. Wei, Z. Hu, and J.-M. Liu, “EPR steering of polar molecules in pendular states and their dynamics under intrinsic decoherence,” RSC Adv. 8, 35928–35935 (2018). [CrossRef]
40. T. Halverson, D. Iouchtchenko, and P.-N. Roy, “Quantifying entanglement of rotor chains using basis truncation: Application to dipolar end of ullerene peapods,” J. Chem. Phys. 148, 074112 (2018). [CrossRef]
41. F. Seeßelberg, X.-Y. Luo, M. Li, R. Bause, S. Kotochigova, I. Bloch, and C. Gohle, “Extending rotational coherence of interacting polar molecules in a spin-decoupled magic trap,” Phys. Rev. Lett. 121, 253401 (2018). [CrossRef]
42. H. Yu, T.-S. Ho, and H. Rabitz, “Optimal control of orientation and entanglement for two dipole-dipole coupled quantum planar rotors,” Phys. Chem. Chem. Phys. 20, 13008–13029 (2018). [CrossRef] [PubMed]
43. L. H. Coudert, “Optimal orientation of an asymmetric top molecule with terahertz pulses,” J. Chem. Phys. 146, 024303 (2017). [CrossRef] [PubMed]
44. L. H. Coudert, “Optimal control of the orientation and alignment of an asymmetric-top molecule with terahertz and laser pulses,” J. Chem. Phys. 148, 094306 (2018). [CrossRef]
45. K. Mishima and K. Yamashita, “Quantum computing using rotational modes of two polar molecules,” Chem. Phys. 361, 106–117 (2009). [CrossRef]
46. P. Pellegrini, S. Vranckx, and M. Desouter-Lecomte, “Implementing quantum algorithms in hyperfine levels of ultracold polar molecules by optimal control,” Phys. Chem. Chem. Phys. 13, 18864–18871 (2011). [CrossRef] [PubMed]
47. J. Zhu, S. Kais, Q. Wei, D. Herschbach, and B. Friedrich, “Implementation of quantum logic gates using polar molecules in pendular states,” J. Chem. Phys. 138, 024104 (2013). [CrossRef] [PubMed]
48. Y. Chou, S.-Y. Huang, and H.-S. Goan, “Optimal control of fast and high-fidelity quantum gates with electron and nuclear spins of a nitrogen-vacancy center in diamond,” Phys. Rev. A 91, 052315 (2015). [CrossRef]
49. C. M. Rivera-Ruiz, E. F. de Lima, F. F. Fanchini, V. Lopez-Richard, and L. K. Castelano, “Optimal control of hybrid qubits: Implementing the quantum permutation algorithm,” Phys. Rev. A 97, 032332 (2018). [CrossRef]
50. A. Lindinger, C. Lupulescu, M. Plewicki, F. Vetter, A. Merli, S. M. Weber, and L. Wöste, “Isotope selective ionization by optimal control using shaped femtosecond laser pulses,” Phys. Rev. Lett. 93, 033001 (2004). [CrossRef] [PubMed]
51. Y. Kurosaki and K. Yokoyama, “Quantum optimal control of the isotope-selective rovibrational excitation of diatomic molecules,” Chem. Phys. 493, 183–193 (2017). [CrossRef]
52. A. R. Allouche, G. Wannous, and M. Aubert-Frékon, “A ligand-field approach for the low-lying states of Ca, Sr and Ba monohalides,” Chem. Phys. 170, 11–22 (1993). [CrossRef]
53. W. K. Wootters, “Entanglement of formation of an arbitrary state of two qubits,” Phys. Rev. Lett. 80, 2245–2248 (1998). [CrossRef]
54. T. Baumgratz, M. Cramer, and M. B. Plenio, “Quantifying coherence,” Phys. Rev. Lett. 113, 140401 (2014). [CrossRef] [PubMed]
55. W. Zhu, J. Botina, and H. Rabitz, “Rapidly convergent iteration methods for quantum optimal control of population,” J. Chem. Phys. 108, 1953–1963 (1998). [CrossRef]
56. L. Bomble, P. Pellegrini, P. Ghesquière, and M. Desouter-Lecomte, “Toward scalable information processing with ultracold polar molecules in an electric field: A numerical investigation,” Phys. Rev. A 82, 062323 (2010). [CrossRef]
57. L. Hardy, “Nonlocality for two particles without inequalities for almost all entangled states,” Phys. Rev. Lett. 71, 1665–1668 (1993). [CrossRef] [PubMed]
58. S. Franke, G. Huyet, and S. M. Barnett, “Hardy state correlations for two trapped ions,” J. Mod. Opt. 47, 145–153, (2000). [CrossRef]
59. B. Neyenhuis, B. Yan, S. A. Moses, J. P. Covey, A. Chotia, A. Petrov, S. Kotochigova, J. Ye, and D. S. Jin, “Anisotropic polarizability of ultracold polar molecules,” Phys. Rev. Lett. 109, 230403 (2012). [CrossRef]
60. B. Yan, S. A. Moses, B. Gadway, J. P. Covey, K. R. A. Hazzard, A. M. Rey, D. S. Jin, and J. Ye, “Observation of dipolar spin-exchange interactions with lattice-confined polar molecules,” Nature 501, 521–525 (2013). [CrossRef] [PubMed]
61. J. Lim, J. R. Almond, M. A. Trigatzis, J. A. Devlin, N. J. Fitch, B. E. Sauer, M. R. Tarbutt, and E. A. Hinds, “Laser cooled YbF molecules for measuring the electron’s electric dipole moment,” Phys. Rev. Lett. 120, 123201 (2018). [CrossRef]
62. B.-X. Wang, M.-J. Tao, Q. Ai, T. Xin, N. Lambert, D. Ruan, Y.-C. Cheng, F. Nori, F.-G. Deng, and G.-L. Long, “Efficient quantum simulation of photosynthetic light harvesting,” npj Quantum Inf. 4, 52 (2018). [CrossRef]