Based on Lyapunov control theory in closed and open systems, we propose a scheme to generate W state of many distant atoms in the cavity-fiber-cavity system. In the closed system, the W state is generated successfully even when the coupling strength between the cavity and fiber is extremely weak. In the presence of atomic spontaneous emission or cavity and fiber decay, the photon-measurement and quantum feedback approaches are proposed to improve the fidelity, which enable efficient generation of high-fidelity W state in the case of large dissipation. Furthermore, the time-optimal Lyapunov control is investigated to shorten the evolution time and improve the fidelity in open systems.
Driving many distant atoms into high-fidelity steady state entanglement via Lyapunov control
Chuang Li,1 Jie Song,1,3 Yan Xia,2 and Weiqiang Ding1,4
1Department of Physics, Harbin Institute of Technology, Harbin, 150001, China
2Department of Physics, Fuzhou University, Fuzhou, 350002, China
OCIS codes: (270.0270) Quantum optics; (060.5565) Quantum communications.
References and links
-  A. K. Ekert, “Quantum cryptography based on bell’s theorem,” Phys. Rev. Lett. 67, 661–663 (1991).
-  C. H. Bennett, G. Brassard, C. Crépeau, R. Jozsa, A. Peres, and W. K. Wootters, “Teleporting an unknown quantum state via dual classical and einstein-podolsky-rosen channels,” Phys. Rev. Lett. 70, 1895–1899 (1993).
-  K. Mattle, H. Weinfurter, P. G. Kwiat, and A. Zeilinger, “Dense coding in experimental quantum communication,” Phys. Rev. Lett. 76, 4656–4659 (1996).
-  R. Raussendorf and H. J. Briegel, “A one-way quantum computer,” Phys. Rev. Lett. 86, 5188–5191 (2001).
-  R. Horodecki, P. Horodecki, M. Horodecki, and K. Horodecki, ‘‘Quantum entanglement,” Rev. Mod. Phys. 81, 865–942 (2009).
-  E. Rieper, J. Anders, and V. Vedral, “Entanglement at the quantum phase transition in a harmonic lattice,” New Journal of Physics 12, 025017 (2010).
-  G. Gualdi, S. M. Giampaolo, and F. Illuminati, “Modular entanglement,” Phys. Rev. Lett. 106, 050501 (2011).
-  Z. Zhang, M. Tengner, T. Zhong, F. N. C. Wong, and J. H. Shapiro, “Entanglement’s benefit survives an entanglement-breaking channel,” Phys. Rev. Lett. 111, 010501 (2013).
-  E. Martín-Martínez and B. C. Sanders, “Precise space-time positioning for entanglement harvesting,” New Journal of Physics 18, 043031 (2016).
-  M. Müller, H. Vural, C. Schneider, A. Rastelli, O. G. Schmidt, S. Höfling, and P. Michler, “Quantum-dot single-photon sources for entanglement enhanced interferometry,” Phys. Rev. Lett. 118, 257402 (2017).
-  M. Chen, N. C. Menicucci, and O. Pfister, “Experimental realization of multipartite entanglement of 60 modes of a quantum optical frequency comb,” Phys. Rev. Lett. 112, 120505 (2014).
-  T. J. Elliott, W. Kozlowski, S. F. Caballero-Benitez, and I. B. Mekhov, “Multipartite entangled spatial modes of ultracold atoms generated and controlled by quantum measurement,” Phys. Rev. Lett. 114, 113604 (2015).
-  L. Knips, C. Schwemmer, N. Klein, M. Wieśniak, and H. Weinfurter, “Multipartite entanglement detection with minimal effort,” Phys. Rev. Lett. 117, 210504 (2016).
-  X. Su, C. Tian, X. Deng, Q. Li, C. Xie, and K. Peng, “Quantum entanglement swapping between two multipartite entangled states,” Phys. Rev. Lett. 117, 240503 (2016).
-  A. Bayat, “Scaling of tripartite entanglement at impurity quantum phase transitions,” Phys. Rev. Lett. 118, 036102 (2017).
-  F. Baccari, D. Cavalcanti, P. Wittek, and A. Acín, “Efficient device-independent entanglement detection for multipartite systems,” Phys. Rev. X 7, 021042 (2017).
-  S. Pappalardi, A. Russomanno, A. Silva, and R. Fazio, “Multipartite entanglement after a quantum quench,” Journal of Statistical Mechanics: Theory and Experiment 2017, 053104 (2017).
-  Q. A. Turchette, C. S. Wood, B. E. King, C. J. Myatt, D. Leibfried, W. M. Itano, C. Monroe, and D. J. Wineland, “Deterministic entanglement of two trapped ions,” Phys. Rev. Lett. 81, 3631–3634 (1998).
-  C. A. Sackett, D. Kielpinski, B. E. King, C. Langer, V. Meyer, C. J. Myatt, M. Rowe, Q. Turchette, W. Itano, D. Wineland et al., “Experimental entanglement of four particles,” Nature 404, 256–259 (2000).
-  S.-B. Zheng and G.-C. Guo, “Efficient scheme for two-atom entanglement and quantum information processing in cavity qed,” Phys. Rev. Lett. 85, 2392–2395 (2000).
-  A. Wallraff, D. I. Schuster, A. Blais, L. Frunzio, R.-S. Huang, J. Majer, S. Kumar, S. M. Girvin, and R. J. Schoelkopf, “Strong coupling of a single photon to a superconducting qubit using circuit quantum electrodynamics,” Nature 431, 162–167 (2004).
-  S.-Y. Huang, H.-S. Goan, X.-Q. Li, and G. J. Milburn, “Generation and stabilization of a three-qubit entangled state in circuit qed via quantum feedback control,” Phys. Rev. A 88, 062311 (2013).
-  I. M. Mirza, “Controlling tripartite entanglement among optical cavities by reservoir engineering,” Journal of Modern Optics 62, 1048–1060 (2015).
-  I. M. Mirza and J. C. Schotland, “Multiqubit entanglement in bidirectional-chiral-waveguide qed,” Phys. Rev. A 94, 012302 (2016).
-  I. M. Mirza and J. C. Schotland, “Two-photon entanglement in multiqubit bidirectional-waveguide qed,” Phys. Rev. A 94, 012309 (2016).
-  A. Aspect, P. Grangier, and G. Roger, “Experimental tests of realistic local theories via bell’s theorem,” Phys. Rev. Lett. 47, 460–463 (1981).
-  W. Wieczorek, R. Krischek, N. Kiesel, P. Michelberger, G. Tóth, and H. Weinfurter, “Experimental entanglement of a six-photon symmetric dicke state,” Phys. Rev. Lett. 103, 020504 (2009).
-  H. R. Baghshahi, M. K. Tavassoly, and M. J. Faghihi, “Entanglement analysis of a two-atom nonlinear jaynesâcummings model with nondegenerate two-photon transition, kerr nonlinearity, and two-mode stark shift,” Laser Physics 24, 125203 (2014).
-  D. d’Alessandro, Introduction to quantum control and dynamics (CRC press, 2007).
-  G. Morigi, J. Eschner, C. Cormick, Y. Lin, D. Leibfried, and D. J. Wineland, “Dissipative quantum control of a spin chain,” Phys. Rev. Lett. 115, 200502 (2015).
-  D. A. Golter, T. Oo, M. Amezcua, K. A. Stewart, and H. Wang, “Optomechanical quantum control of a nitrogen-vacancy center in diamond,” Phys. Rev. Lett. 116, 143602 (2016).
-  V. C. Gregoric, X. Kang, Z. C. Liu, Z. A. Rowley, T. J. Carroll, and M. W. Noel, “Quantum control via a genetic algorithm of the field ionization pathway of a rydberg electron,” Phys. Rev. A 96, 023403 (2017).
-  Y.-X. Du, B.-J. Liu, Q.-X. Lv, X.-D. Zhang, H. Yan, and S.-L. Zhu, “Degenerate eigensubspace in a triangle-level system and its geometric quantum control,” Phys. Rev. A 96, 012333 (2017).
-  F. Dolde, V. Bergholm, Y. Wang, I. Jakobi, B. Naydenov, S. Pezzagna, J. Meijer, F. Jelezko, P. Neumann, T. Schulte-Herbrüggen, J. Biamonte, and J. Wrachtrup, “High-fidelity spin entanglement using optimal control.” Nature communications 5, 3371 (2014).
-  C. Chen, D. Dong, R. Long, I. R. Petersen, and H. A. Rabitz, “Sampling-based learning control of inhomogeneous quantum ensembles,” Phys. Rev. A 89, 023402 (2014).
-  D. Dong and I. R. Petersen, “Sliding mode control of quantum systems,” New Journal of Physics 11, 105033 (2009).
-  J.-M. Coron, A. Grigoriu, C. Lefter, and G. Turinici, “Quantum control design by lyapunov trajectory tracking for dipole and polarizability coupling,” New Journal of Physics 11, 105034 (2009).
-  X. X. Yi, X. L. Huang, C. Wu, and C. H. Oh, “Driving quantum systems into decoherence-free subspaces by lyapunov control,” Phys. Rev. A 80, 052316 (2009).
-  W. Wang, L. C. Wang, and X. X. Yi, “Lyapunov control on quantum open systems in decoherence-free subspaces,” Phys. Rev. A 82, 034308 (2010).
-  X. X. Yi, B. Cui, C. Wu, and C. H. Oh, “Effects of uncertainties and errors on a lyapunov control,” Journal of Physics B: Atomic, Molecular and Optical Physics 44, 165503 (2011).
-  H. Amini, P. Rouchon, and M. Mirrahimi, “Design of strict control-lyapunov functions for quantum systems with qnd measurements,” in “2011 50th IEEE Conference on Decision and Control and European Control Conference,” (2011), pp. 8193–8198.
-  S. C. Hou, M. A. Khan, X. X. Yi, D. Dong, and I. R. Petersen, “Optimal lyapunov-based quantum control for quantum systems,” Phys. Rev. A 86, 022321 (2012).
-  S. Zhao, H. Lin, and Z. Xue, “Switching control of closed quantum systems via the lyapunov method,” Automatica 48, 1833 – 1838 (2012).
-  J. Wen and S. Cong, “Operator Preparation and Characteristic Analysis of Open Quantum Systems Based on the Lyapunov Control Method,” ArXiv: 1401.2495 (2014).
-  Z. C. Shi, X. L. Zhao, and X. X. Yi, ‘‘Robust state transfer with high fidelity in spin-1/2 chains by lyapunov control,” Phys. Rev. A 91, 032301 (2015).
-  X. Wang and S. G. Schirmer, “Entanglement generation between distant atoms by lyapunov control,” Phys. Rev. A 80, 042305 (2009).
-  Z. C. Shi, L. C. Wang, and X. X. Yi, “Preparing entangled states by lyapunov control,” Quantum Information Processing 15, 4939–4953 (2016).
-  A. Boca, R. Miller, K. M. Birnbaum, A. D. Boozer, J. McKeever, and H. J. Kimble, “Observation of the vacuum rabi spectrum for one trapped atom,” Phys. Rev. Lett. 93, 233603 (2004).
-  C. Li, S. Yang, J. Song, Y. Xia, and W. Ding, “Generation of long-living entanglement between two distant three-level atoms in non-markovian environments,” Opt. Express 25, 10961–10971 (2017).
-  D. F. James and J. Jerke, “Effective hamiltonian theory and its applications in quantum information,” Canadian Journal of Physics 85, 625–632 (2007).
-  H. M. Wiseman, “Quantum theory of continuous feedback,” Phys. Rev. A 49, 2133–2150 (1994).
Appendix A Introduction
Entanglement is a major resource in a vast number of applications in quantum information [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]. In particular, multipartite entanglement as a crucial role in quantum information processing, has attracted a lot of attention [11, 12, 13, 14, 15, 16, 17]. Generation of entanglement is always a research hotspot and many different schemes have been proposed to generate entangled states, such as trapped ions [18, 19], quantum electrodynamics [20, 21, 22, 23, 24, 25], and photon pairs [26, 27]. Especially, cavity QED system is a simple and efficient source for generating entanglement .
Quantum control is an important technology in quantum information and quantum optics, which has received wide attention [29, 30, 31, 32, 33]. Different control strategies have been presented for realizing quantum control, such as optimal control , learning control , sliding mode control , and Lyapunov control . Among these control strategies, the design process based on Lyapunov control method is simple and visualized, and the control laws can ensure the stability of the control system, thus Lyapunov control is applied widely in quantum information processing [38, 39, 40, 41, 42, 43, 44, 45]. The basic principle of Lyapunov control is that steering the system into the target via time-varying control fields, which are determined by the Lyapunov function. In the procedure of the Lyapunov control design, one first selects the Lyapunov function according to the target, and then designs the control fields via the time derivative of the selected Lyapunov function. Recently, many schemes of entanglement generation via Lyapunov control are proposed[46, 47]. However, most studies of entanglement generation based on Lyapunov control are restricted to bipartite entanglement and multipartite entanglement in a single cavity. Multipartite entanglement generation for distant atoms can be a key breakthrough point in quantum information processing that deserves research efforts.
In this paper, we propose a scheme for generating W state for three-level atoms trapped in distant cavities. Based on Lyapunov control, we generate a W state of atoms in closed and open systems and discuss the effect of system parameters on the fidelity. In open systems, we use photon measurement and quantum feedback to improve the fidelity. In addition, we investigate time-optimal Lyapunov control to shorten the time required to reach the target state. The rest of the paper is organized as follows: In section B, we introduce the model of the cavity-fiber-cavity system. We investigate generation of W state for atoms in closed and open systems in section C and D, respectively. The time-optimal Lyapunov control is discussed in section E. In section F, we summarize and conclude.
Appendix B The model of the cavity-fiber-cavity system
We consider a cavity-fiber-cavity system, where two distant cavities are connected by an optical fiber. Two cavities are resonantly coupled to a fiber mode with strength . The two cavities contain a three-level atom and two three-level atoms, respectively. Each atom has an excited state and two ground states and . The energy of the state is taken to be zero as the energy reference point. The states and have energies and , respectively (). The transition is coupled to a cavity mode with strength . The transition is driven by a classical field with strength . The Hamiltonian of the cavity-fiber-cavity system contains four parts
where the subscripts and correspond to the th cavity and the th atom, respectively. () is the annihilation operator of the cavity (fiber) mode. is the frequency of the cavity (fiber) modes and is the frequency of the classical fields. By using the transformation operator , the Hamiltonian in interaction picture is given by
where . We change the phases of classical fields in cavity , which leads to and . The correspond Hamiltonian of the system can be written as
Assuming the system is initially in the state , the dark state (the eigenstate of the Hamiltonian with zero eigenvalue) is
We set and . When , the dark state is approximated to a W state of three atoms, i.e.,
The condition can be realized by choosing the parameters as . For example, if the coupling strength is chosen as MHz , the Rabi frequency is about MHz.
Appendix C Lyapunov control in closed systems
In this section, we demonstrate how to steer the system into the W state via Lyapunov control. In closed systems, the dynamical evolution of the system satisfies quantum Liouville equation ()
where is the time-independent control Hamiltonian and is time-varying control field. The Lyapunov function is defined as
where . We calculate the time derivative of the Lyapunov function to design the control fields,
where . The Lyapunov control strategy requires , hence the control fields can be designed as
where , may be chosen properly to adjust the control amplitude. Considering atomic spontaneous emission and convenience of experimental implementation, we choose the control Hamiltonians as
In Fig. 1, we plot the time evolution of the fidelity and the control fields for the initial state . It shows the control fields steer the system gradually to the W state. The system is in the steady W state and the fidelity reaches finally. In fact, the fidelity is limited by the parameter . Because the dark state of the system is approximated to a W state, i.e., the fidelity increases as the parameter decreases. Figure 2(a) illustrates the time evolution of the fidelity for different parameters . Expect for , we also explore the influence of the coupling strength on the fidelity. In Fig. 2(b), we plot the time evolution of the fidelity for different coupling strengths . The fidelity can reach the maximum () under different coupling strengths. The evolution time increases as the coupling strength decreases. It implies that a high fidelity W state can be generated, even when the coupling strength between cavity and fiber is very weak.
Appendix D Lyapunov control in open systems
d.1 The influence of atomic spontaneous emission
In this section, we consider the influence of atomic spontaneous emission on the fidelity. The dynamical evolution of the system is described by the master equation, which is expressed by
where is the Lindblad operator defined by . and is the emission rate from to . For simplicity, we assume . The Lyapunov function is defined as and the time derivative of the Lyapunov function can be calculated as
For guaranteeing , the control fields can be designed as
Here, we choose the control field to eliminate the influence of atomic spontaneous emission. The control fields and ensure the time derivative of Lyapunov function .
Figure 3(a) illustrates the time evolution of the fidelity for different atomic spontaneous emission rates. The fidelity decreases as atomic spontaneous rates increase. When atomic spontaneous emission rate is small, the fidelity can reach a high value (). In the case of large atomic spontaneous emission rate, however, the fidelity can only reach . The coupling strength is an important parameter of the system, which influences the interaction between two cavities. We plot the time evolution of the fidelity for different coupling strengths in Fig. 3(b). It shows that the fidelity increases as the coupling strength increases. It is because the large coupling strength speeds up the evolution of the system, which suppresses atomic spontaneous emission. However, the fidelity almost remains unchanged with further increase of coupling strength , when . That because atomic spontaneous emission plays a dominant role in the dynamical evolution of the system.
As mentioned above, the fidelity is low in the case of large dissipation. To further improve the fidelity, the single qubit operation will be performed on atom , where (). Here and are the auxiliary excited and ground state of atom with energies and , respectively. The transition between and is coupled to the cavity mode of cavity with coupling strength . The transition between and is coupled to the cavity mode of cavity with coupling strength (). When the system reaches the steady state at , the state is driven to the auxiliary excited state by the classical field with strength and frequency . The auxiliary excited state will decay to the auxiliary ground state with emitting a photon into cavity , which need to be detected . The driving Hamiltonian is given by
where is the frequency of the cavity mode . After the driving Hamiltonian, the state will evolve to state . In the case of large detunings, the effective driving Hamiltonian in the interaction picture can be obtained as 
where , , , and . This process is described by the following master equation
where , is the annihilation operator of a detector mode, and is the decay rate of the cavities. The master equation describes an irreversible detection process. By detecting the photon at (), the system is projected to the subspace of the auxiliary states. Correspondingly, the density matrix is expressed by with .
In Fig. 4, we plot the time evolution of the fidelity before and after detection (detection time ). It shows that the fidelity is improved from to in the case of large atomic spontaneous emission rate.
d.2 The influence of cavity and fiber decay
In this section, we consider the influence of cavity and fiber decay. The dynamical evolution of the system is described by the master equation, which is expressed by
where and is the decay rate of the cavity (fiber) mode. For convenience, we set . With the similar derivation procedures, the control fields can be designed as
Figure 5 illustrates the time evolution of the fidelity for different cavity and fiber rates. It shows that the fidelity decreases as cavity and fiber decay rates increase. The fidelity first increases to a maximum and then gradually decreases. However, the fidelity can maintain the maximum by switch off all the control fields and classical fields (Fig. 5(b)). In Fig. 6, we plot the time evolution of the fidelity for different coupling strengths . It shows that the maximum of fidelity increases as the coupling strength increases. When the coupling strength is large, the fidelity reaches the maximum in a short time.
In the case of large cavity and fiber decay rate, however, the fidelity can only reach . Hence, we introduce quantum feedback based on quantum-jump-detection to improve the fidelity . The dynamical evolution of the system satisfies the master equation with quantum feedback, which is given by
where and is the efficiency of detectors. is feedback operator, where . we use the control fields in closed systems.
In Fig. 7(a), we plot the time evolution of the fidelity with quantum feedback for different cavity and fiber decay rates. The results show that the maximum of the fidelity reaches in the case of large decay rates (). Compared with the case without quantum feedback, the fidelity increases by . As quantum feedback is dependent on the efficiency of detectors, we plot the time evolution of the fidelity as a function of the scaled time for different efficiencies of detectors in Fig. 7(b). It shows that the maximum of the fidelity decreases as the efficiency of detectors decreases. when the efficiency of detectors is greater than 0.4, the fidelity can reach 0.9.
Appendix E Time-optimal Lyapunov control
In this section, we consider time-optimal Lyapunov control. We optimize the control fields to speed up the evolution of the system, which can be achieve by increasing the time derivative of the Lyapunov function . However, too strong control fields may disturb the quantum system and lead to invalidation of the physical model. In real systems, the control fields are under the constraints of energy and strength.
In the case of the power constraint , the Lagrange multiplier method can be used to determine the control fields which minimize () . According to the Lagrange function ( is the Lagrange multiplier), we calculate the gradient of Lagrange function and obtain
Thus, the control fields can be designed as follows:
In the case of the strength constraint ( is the maximum strength of each control field), we can design the optimized control fields according to Eq. (10) as follows
In Fig. 8, we plot the time evolution of the fidelity with time-optimal Lyapunov control in closed systems. The results show that two time-optimal designs can shorten the time required to reach the target state. Especially, the evolution time is the shortest with the design under the strength constraint. In closed systems, however, the two time-optimal designs lead to a loss of fidelity due to the additional constraints on the control fields. In Fig. 9, we plot the time evolution of the fidelity with time-optimal Lyapunov control in open systems: (a) atomic spontaneous emission and (b) cavity and fiber decay. In open systems, the fidelity with two optimal designs is obviously higher than that without optimization, which is different from the case in closed systems. It implies that time-optimal Lyapunov control is an effective method against decoherence.
Appendix F Conclusion
In summary, we have investigated the system formed by two distant cavities connected by an optical fiber, one of which contains an atom and the other contains two atoms. We generate W state of atoms via Lyapunov control in closed and open systems. In closed systems, the fidelity increases as the coupling strength decreases and a high fidelity W state can be generated in the case of weak coupling between the cavities and fiber. In open systems, the fidelity decreases with the decay rates increase and the fidelity is low in the case of large decay rates. Hence, we propose two schemes to improve the fidelity in open systems. In the presence of atomic spontaneous emission, we drive each atom to an auxiliary exited state, which decays to the auxiliary ground state with emitting a photon into the cavity. The fidelity can be improved by detecting the photon leaking from the cavities. In the case of cavity and fiber decay, we use quantum feedback based on quantum-jump-detection to improve the fidelity. The results show the fidelity is improved greatly by using the two schemes. In addition, we consider time-optimal Lyapunov control with two constraints (power and strength). It shows that the time-optimal Lyapunov control can speed up the evolution of the system and improve the fidelity in open systems.
National Natural Science Foundation of China (NSFC) (11474077, and 11675046), Program for Innovation Research of Science in Harbin Institute of Technology (A201411, and A201412), the Fundamental Research Funds for the Central Universities (AUGA5710056414), Natural Science Foundation of Heilongjiang Province of China. (A201303), and Postdoctoral Scientific Research Developmental Fund of Heilongjiang Province (LBH-Q15060).