Fast and high-fidelity generation of steady-state entanglement using pulse modulation and parametric amplification
Ye-Hong Chen, Wei Qin, and Franco Nori

TL;DR
This paper presents a method combining pulse modulation and parametric amplification to rapidly generate high-fidelity steady-state entanglement with enhanced robustness and significantly reduced stabilization time.
Contribution
It introduces an exponential enhancement of atom-cavity interaction and amplitude modulation to accelerate entanglement generation while maintaining high fidelity.
Findings
Achieves 98.5% fidelity at cooperativity C=30.
Reduces stabilization time by about 10 times.
Demonstrates robustness against amplitude noise and systematic errors.
Abstract
We explore an intriguing alternative for a fast and high-fidelity generation of steady-state entanglement. By exponentially enhancing the atom-cavity interaction, we obtain an exponentially-enhanced effective cooperativity of the system, which results in a high fidelity of the state generation. Meanwhile, we modulate the amplitudes of the driving fields to accelerate the population transfer to a target state, e.g., a Bell state. An exponentially-shortened stabilization time is thus predicted. Specifically, when the cooperativity of the system is , the fidelity of the acceleration scheme reaches , and the stabilization time is about 10 times shorter than that without acceleration. Moreover, we find from the numerical simulation that the acceleration scheme is robust against systematic and stochastic (amplitude-noise) errors.
| Dissipation-based schemes | Squeezing parameter | Cooperativity rate | Stabilization time | Fidelity |
|---|---|---|---|---|
| Via traditional method | 0 | 1 | ||
| Via pulse modulation | 0 | 1 | ||
| Via parametric amplification | 2 | 14 | ||
| Via our acceleration method | 2 | 14 |
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Fast and high-fidelity generation of steady-state entanglement using pulse modulation and parametric amplification
Ye-Hong Chen
Theoretical Quantum Physics Laboratory, RIKEN Cluster for Pioneering Research, Wako-shi, Saitama 351-0198, Japan
Wei Qin
Theoretical Quantum Physics Laboratory, RIKEN Cluster for Pioneering Research, Wako-shi, Saitama 351-0198, Japan
Franco Nori
Theoretical Quantum Physics Laboratory, RIKEN Cluster for Pioneering Research, Wako-shi, Saitama 351-0198, Japan
Department of Physics, University of Michigan, Ann Arbor, Michigan 48109-1040, USA
Abstract
We explore an intriguing alternative for a fast and high-fidelity generation of steady-state entanglement. By exponentially enhancing the atom-cavity interaction, we obtain an exponentially-enhanced effective cooperativity of the system, which results in a high fidelity of the state generation. Meanwhile, we modulate the amplitudes of the driving fields to accelerate the population transfer to a target state, e.g., a Bell state. An exponentially shortened stabilization time is thus predicted. Specifically, when the cooperativity of the system is , the fidelity of the acceleration scheme reaches , and the stabilization time is about ten times shorter than that without acceleration. Moreover, we find from the numerical simulation that the acceleration scheme is robust against systematic and stochastic (amplitude-noise) errors.
Dissipative system; Quantum entanglement; Fast dynamical evolution
pacs:
03.67.
I introduction
Quantum entanglement is one of the most striking features of quantum mechanics, and entangled states of matter are now widely used for fundamental tests of quantum theory and applications in quantum information science Zheng and Guo (2000). Numerous schemes have been proposed to faithfully and controllably generate quantum entangled states Greenberger et al. (1990); Dür et al. (2000); Wootters (1998); Lo and Popescu (2001) based on either unitary dynamical evolution Pellizzari et al. (1995); Pachos and Walther (2002); Beige et al. (2000); Solano et al. (2003); Serafini et al. (2006); Li and Li (2011); Sun et al. (2012); Yin et al. (2007); Lu et al. (2014); Chen et al. (2015a); Macrì et al. (2018) or dissipative quantum dynamical processes Breuer and Petruccione (2002); Sørensen and Mølmer (2003); Vacanti and Beige (2009); Blatt and Wineland (2008); Baumgartner et al. (2008); Verstraete et al. (2009); Vollbrecht et al. (2011); Dalla Torre et al. (2013); Qin et al. (2017); Rao and Mølmer (2013); Reiter and Sørensen (2012); Shankar et al. (2013); Reiter et al. (2016, 2012); Busch et al. (2011); Memarzadeh and Mancini (2011); Alharbi and Ficek (2010); Braun (2002); Wang et al. (2016); Shen et al. (2011); Lin et al. (2013); Carr and Saffman (2013); Kastoryano et al. (2011); Shao et al. (2017); Neuzner et al. (2016); Morigi et al. (2015); Krauter et al. (2011); Li et al. (2012); Chen et al. (2015b); Ma et al. (2012). For convenience, we call the last of these as “dissipative dynamics” hereafter. Dissipative dynamics, where the dissipation is assumed to be a resource rather than a negative effect, has recently attracted much interest in quantum computation and entanglement engineering. The basic idea of a traditional dissipation-based (TDB) approach is shown in Fig. 1 (a). Generally, schemes based on dissipative dynamics are robust against parameter fluctuations, can obtain high-fidelity entanglement with arbitrary initial states, and do not need accurate control of the evolution time.
In a TDB approach, the key point for entanglement generation is to produce a dissipative system such that the target state is a unique steady state, regardless of the initial state Reiter and Sørensen (2012); Kastoryano et al. (2011). This means that the target state is dropped out of the unitary evolution in the effective subspace. The only way to transfer population to the target state is via an uncontrollable and slow dissipation process, and the time required for the entanglement generation is inversely proportional to the decay rates. Usually, high speed and high fidelity cannot coexist in a TDB approach because high fidelity requires high cooperativity , according to (the optimal value of the fidelity) Sørensen and Mølmer (2003); Kastoryano et al. (2011), but a high cooperativity means small decay rates. In addition, for most optical systems, it is usually hard to achieve a cooperativity of larger than Lev et al. (2004). In optical systems, the fast and high-fidelity generation of entangled states in the presence of dissipation is still a challenge in optical systems.
In view of this, we are encouraged to propose a general approach for this problem. The basic idea of our accelerated dissipation-based (ADB) approach is shown in Fig. 1 (b). The parametric amplification based on a squeezed-vacuum field Qin et al. (2018); Leroux et al. (2018) is used to increase the cooperativity , and as a result to improve the fidelity . The couplings connecting the undesired ground (UDG) states and the effective excited state are increased by parametric amplification, but the decays remain unchanged, producing an enhanced cooperativity. Also, the exponential increase of atom-cavity coupling allows us to choose relatively strong driving fields to shorten the evolution time. A pulse modulation based on Lyapunov control Yi et al. (2009); D’Alessandro (2007); Kuang and Cong (2008, 2010); Mirrahimi et al. (2005); Coron et al. (2009); Shi et al. (2015); Cui and Nori (2013); Beauchard et al. (2007) is used here to induce some additional drivings [the green-dashed arrowed line in Fig. 1(b)]. The additional drivings are designed to accelerate the population transfer from the UDG states to the target state, and they gradually vanish when the population of the target state asymptotically reaches . In this case, the system can be rapidly stabilized into the target state, i.e., the steady entangled state.
With current experimental techniques, it is possible to achieve Lev et al. (2004); Hood et al. (2000). If we consider a relatively good cavity, with cavity decay smaller than the atomic decay , such as . Then an evolution time is necessary to achieve a fidelity of in the TDB approach. However, by applying our approach, the evolution time is shortened from to about , and the final fidelity is improved from to . Thus, the fast and high-fidelity generation of steady-state entanglement becomes possible.
This paper is organized as follows. In Sec. II, we show the model and the effective Hamiltonian of the system we consider. In Sec. III, we present the ADB approach to realize a fast and high-fidelity generation of steady-state entanglement. In Sec. IV, we verify the robustness against parameter errors of the scheme by numerical simulation. Conclusions are given in Sec. V.
II Model
As shown in Fig. 2(a), we consider a quantum system with two atoms trapped in a single-mode cavity. The level structure of each atom is shown in Fig. 2(b). Note that the pulse modulation is only applied to one of the atoms. The Hamiltonian determining the unitary dynamics of the system, via the rotating wave approximation in a proper observation frame, reads ()
[TABLE]
Here, describes the interaction of a classical laser drive with the atoms, describes the interaction between the ground states. For brevity, we omit the explicit time dependence of the Hamiltonians , and .
By introducing the Bogoliubov squeezing transformation , we diagonalize as , where
[TABLE]
is the squeezing parameter of the squeezed-cavity mode, and is the squeezed-cavity frequency (). In this case, when and , we obtain the exponentially-enhanced atom-cavity coupling (see the Appendix for details)
[TABLE]
and the atom-squeezed-cavity interaction Hamiltonian
[TABLE]
We squeeze the cavity mode to exponentially enhance the atom-cavity coupling, as described above. This can introduce additional noise into the cavity Qin et al. (2018); Leroux et al. (2018). This additional noise can be understood as an effective thermal noise and an effective two-photon correlation. To circumvent such undesired noise, we introduce a squeezed-vacuum field by an optical parametric amplifier [see Fig. 2(b)], with a squeezing parameter and a reference phase , to drive the cavity. When choosing and (), we can completely eliminate this additional noise, as detailed in the Appendix. In this case, the squeezed-cavity mode is equivalently coupled to a thermal reservoir and the additional noise is completely removed. Thus, we can use a standard Lindblad operator to describe the squeezed-cavity decay, i.e., . The system in this case can be modeled by a master equation in the Lindblad form Kossakowski (1972); Lindblad (1976):
[TABLE]
where ’s are the lindblad operators describing a cavity decay , and four spontaneous emissions (, ). Consequently, increasing enables an exponential enhancement in the cooperativity,
[TABLE]
When , we have
[TABLE]
Assuming that the squeezed cavity is initially in the squeezed vacuum state and the atoms are initially in their ground states, in the limit of Misra and Sudarshan (1977); Itano et al. (1990); Facchi and Pascazio (2002, 2008); Cook (1988); Kwiat et al. (1995); Wang et al. (2008), the evolution of the system is confined to an effective evolution subspace spanned by , ,
[TABLE]
Meanwhile, the decay process in this subspace can be described by three effective Lindblad operators Kastoryano et al. (2011); Shao et al. (2017); Albert et al. (2018)
[TABLE]
Here, the cavity mode has been adiabatically eliminated in the limit of . Note that, here, although in the laboratory frame the squeeze-cavity mode contains a large number of photons, the cavity degree of freedom is adiabatically eliminated in our proposal, resulting in a squeezed-cavity mode mediated coupling between atoms. Thus, our proposal can be potentially extended to implementations of various intracavity quantum operations
III Fast and high-fidelity entanglement generation
We assume that the Rabi frequencies and are
[TABLE]
where and are constants, is the control function of the pulse modulation. We show the effective transitions of the system in Fig. 3. When the pulse modulation is implemented, the evolution process of the system can be described as follows: {basedescript}\desclabelstyle\pushlabel\desclabelwidth1em
The microwave fields directly drive the population transfer between the ground states, so that the populations cannot be stored in the UDG states.
Once the population is transferred to the state , the modulated driving field will drive the transition .
Then, the population in state will be transferred to via the decay and the driving .
In this case, by suitably adjusting the control functions , we can achieve the target state in a very short time. The shapes of the modulated pulses, as shown in the inset of Fig. 4, are shown to be smooth time-dependent curves that are realizable experimentally. For example, experiments used electro-optic modulators to implement such control fields Du et al. (2016).
Motivated by Lyapunov control theory D’Alessandro (2007); Kuang and Cong (2008, 2010); Mirrahimi et al. (2005); Coron et al. (2009); Shi et al. (2015); Cui and Nori (2013), we define the speed of the population increase for a state as the time derivative of its population, i.e.,
[TABLE]
where . The rates of the population increase for the ground states are
[TABLE]
respectively. Here, the Hamiltonian
[TABLE]
is the effective Hamiltonian of the system when . On account of , , and (), there is a unique steady state, i.e., the target entangled state , for the system when . The Hamiltonian
[TABLE]
describes the interaction induced by the pulse modulation. Substituting and into Eq. (20), we find the following: {basedescript}\desclabelstyle\pushlabel\desclabelwidth1em
and (); both the control functions can adjust the speeds and ;
, , , and ; the control function can adjust the speeds and , while cannot.
These two points indicate that, it is hard to design to control one of the speeds in Eq. (20) without influencing the others.
In this case, a simple choice is designing to only control the speed , i.e., the control functions are designed as
[TABLE]
where . Thus, the second term in is positive, , and the speed is improved. However, since the driving cannot directly induce an entanglement, designing according to the target state is not the best choice for our goal Chen et al. (2018). In view of this, we have to seek for a new way to design the control function .
It is worth noting that the decay causes a relatively fast population increase in the UDG state according to Eq. (20), and more population will be decayed to the state than after a certain time evolution. A slow evolution is inevitable to totally transfer the population from the state to the target state . By considering this, the control function can be chosen as
[TABLE]
which is designed to decrease the population of the state by adding a negative term to the speed . Then, the evolution speeds and read
[TABLE]
respectively. Due to , the last term in may have a negative effect on the evolution speed, but we can adjust the parameters and to minimize this negative effect.
A comparison between the TDB method and the ADB approach is shown in Fig. 4. It takes a very short time (about ) in the ADB approach to generate the target state with population , while it takes a much longer time (about ) in the TDB scheme. In the ADB approach, when , the system gradually becomes stable. The time is called the “stabilization time,” and it describes the time when the system becomes stable. Here, the stabilization is determined according to and . Specifically, in this paper, we assume that when and , the system is stable.
For brevity, we define a dimensionless parameter
[TABLE]
representing a measurement scale of the stabilization time in the following analysis. As shown in Fig. 5, the dimensionless parameter in the TDB scheme increases when the amplified cooperativity increases, for example, when , and when . However, we find the relationship between the stabilization time and the squeezing parameter (see the purple-solid curve in Fig. 6) in our ADB approach is
[TABLE]
which means that (see the blue-solid curve in Fig. 5) is independent of the amplified cooperativity . This is an important result of this paper. It predicts an exponentially-shortened stabilization time when . Moreover, the comparison between the TDB approach and the ADB approach in Fig. 5 indicates that the pulse modulation works better in accelerating the evolution when the amplified cooperativity is larger. This means that the pulse modulation and the parametric amplification supplement each other in the ADB approach to realize a fast and high-fidelity generation of steady-state entanglement. This result is also shown in Table 1, which shows the comparison between methods with and without pulse modulation and parametric amplification. The improvements in the two bottom rows are very significant. In Table 1, the fidelity is defined as
[TABLE]
where denotes the final time. For convenience, we set in this paper.
The final population of the state increases when the squeezing parameter becomes larger (see Fig. 6). When , the cooperativity is amplified to , and the population of the target state can reach . The stabilization time is 6 times shorter than that in Ref. Qin et al. (2018) by only using parametric amplification. Generally, the fidelity of a dissipation-based scheme is higher when is larger. However, a large squeezing parameter corresponds to an extremely strong . For example, when , the driving field reaches , which may cause problems in some experiments. It is better to choose the squeezing parameter corresponding to . When , the stabilization time becomes , which is almost 10 times shorter than that obtained via traditional method as shown in Table 1.
IV Robustness against parameter errors
Influenced by the environment, there are usually two kinds of parameter errors, which should be considered in realizing this approach: systematic error and stochastic error. It is usually hard to avoid errors; for example, the atoms might not be ideally placed. Thus, the various atoms may be subject to slightly different fields, which causes a systematic error. In this case, the actual Hamiltonian should be corrected as , where the subscript “n’ represents the “noise,” is the amplitude of the systematic noise, and is a perturbed Hamiltonian.
When the stochastic error is considered, the actual Hamiltonian becomes , where is the time derivative of the Brownian motion , is the amplitude of the stochastic noise, and is also a perturbed Hamiltonian. Since the noise should have zero mean and the noise at different times should be uncorrelated, we have and . Then, the master equation of the system in the presence of noise is
[TABLE]
By averaging over the noise, Eq. (36) becomes
[TABLE]
According to Novikov’s theorem applied to white noise Chen et al. (2017); Ruschhaupt et al. (2012), we have
[TABLE]
We assume the presence of systematic and stochastic (amplitude-noise) errors in , so that . For the ADB approach, we can choose , which is enough for the population to reach when , as shown above. The systematic error has a more serious influence on the fidelity than the stochastic error , as shown in Fig. 7. A systematic error with intensity causes a deviation of about on the fidelity, while a same-intensity stochastic error only causes deviation. When , the fidelity is still higher than , which demonstrates that the ADB approach is robust against both systematic and stochastic errors. Beware that the control functions and in must be given according to the master equation without the noise terms; otherwise, the numerical simulation result in Fig. 7 is possibly wrong.
V Possible implementations
In a cavity quantum electrodynamics system, as shown in Fig. 2(a), we consider a possible experimental implementation with ultracold 87Rb atoms trapped in a single-mode Fabry-Perot cavity. The 87Rb atoms can be used for the -type qutrits as shown in Fig. 2(b). Focusing on the line electric-dipole transitions at a wavelength of nm, the excited state corresponds to the hyperfine state of the electronic state, and the ground states and correspond to the and the hyperfine states of the electronic ground states, respectively. The transition is coupled by a circularly -polarized control laser. The transition is coupled by a -polarized-cavity mode. The transition is electric-dipole forbidden, as it is the case for hyperfine levels of alkali atoms. However a magnetic dipole transition may be used instead, although this may limit the intensity (hundreds of kHz as reported in Refs. Treutlein et al. (2006); Sárkány et al. (2014)). In this case, according to the experimental parameters Hood et al. (2000), the fidelity of the ADB approach in Sec. III can reach , and the corresponding stabilization time is s.
Another alternative system to realize our approach could be superconducting quantum circuits. Figure 8 shows two flux qutrits coupled a coplanar waveguide (CPW) resonator via the induced magnetic field Niemczyk et al. (2010); Peropadre et al. (2010). The necessary squeezing in the resonator is created by inserting a superconducting quantum interference device (SQUID), which is tuned by a magnetic flux Johansson et al. (2009, 2014); Nation et al. (2012). The flux-qubit circuits placed at or near an antinode of the standing wave of the current on the superconducting wire can strongly couple to the superconducting resonator via the mutual inductance Xiang et al. (2013). The states and correspond to the first and second excited eigenstates of the flux qubit, respectively. In this system, the transition between and should be much smaller than that between and () so as to guarantee the final stability of the system. This is possible to realize by adjusting the magnetic flux You et al. (2007); Liu et al. (2005); You and Nori (2011); Gu et al. (2017) in the superconducting circuit system.
VI conclusion
We investigate the possibility of simultaneously improving both the evolution speed and the fidelity for a dissipation-based generation of entanglement by pulse modulation and parametric amplification. Regarding two typical dissipation sources in this system: atomic spontaneous emission and cavity decay, we employ atomic spontaneous emission but avoid the effect of cavity decay. The pulse modulation is used to induce two control functions, and , where is designed to accelerate the population transfer to the target state , and the is designed to accelerate the population transfer out of the UDG state . The parametric amplification is used to increase the cooperativity, and thus to improve the fidelity of the system. It also allows us to use a relatively large pulse intensity to shorten the stabilization time.
From both analytical and numerical confirmations, we show that the stabilization time in the ADB is shortened exponentially with a controllable squeezing parameter . Specifically, when , the stabilization time in ADB approach is 10 times shorter than that in the TDB scheme, and the fidelity of the ADB approach could reach . We also have analyzed the sensitivity of the speed-up scheme with respect to systematic and stochastic (amplitude-noise) errors. We find that the ADB approach is robust against parameter errors. Therefore, this alternative method can open venues for the fast and robust realization of high-fidelity entanglement in the presence of dissipation, and can find wide applications in quantum information technologies.
ACKNOWLEDGMENT
F.N. is supported in part by the: MURI Center for Dynamic Magneto-Optics via the Air Force Office of Scientific Research (AFOSR) (FA9550-14-1-0040), Army Research Office (ARO) (Grant No. W911NF-18-1-0358), Asian Office of Aerospace Research and Development (AOARD) (Grant No. FA2386-18-1-4045), Japan Science and Technology Agency (JST) (via the Q-LEAP program, the ImPACT program, and the CREST Grant No. JPMJCR1676), Japan Society for the Promotion of Science (JSPS) (JSPS-RFBR Grant No. 17-52-50023, and JSPS-FWO Grant No. VS.059.18N), the RIKEN-AIST Challenge Research Fund, and the John Templeton Foundation.
Appendix A Derivation of the effective Hamiltonian and the Lindblad operators
Squeezing the cavity mode can induce additional noise in the cavity. A possible strategy to suppress such noise is to introduce a squeezed vacuum field, with a squeezing parameter and a reference phase , to drive the cavity Qin et al. (2018). From the point of view of the cavity, the squeezed input field is well approximated as having infinite bandwidth Murch et al. (2013). In this case, the dynamical evolution of the system in Fig. 2 is modeled by a master equation
[TABLE]
Here, for brevity, we omit the explicit time dependence of and . The subscripts and denote the atom and the cavity, respectively. The parameter is the mean photon number of the broadband squeezed field, and determines the degree of two-photon correlation. The expressions for and are Scully and Zubairy (1997); Drummond and Ficek (2004)
[TABLE]
respectively. Then, the expressions for and are
[TABLE]
where denotes the Lindblad operator. In the system considered here, there are four Lindblad operators describing the spontaneous emissions:
[TABLE]
and one Lindblad operator describing the cavity decay:
[TABLE]
By introducing the Bogoliubov squeezing transformation , we can diagonalize the nonlinear Hamiltonian as , where
[TABLE]
is the squeezing parameter, and is the squeezed-cavity frequency. Accordingly, the atom-cavity coupling Hamiltonian becomes
[TABLE]
where and . When and , the counter-rotating terms in Eq. (54) can be neglected, such that can be transformed to
[TABLE]
Meanwhile, the total Hamiltonian in this rotating frame is
[TABLE]
The Lindblad term in Eq. (42) becomes
[TABLE]
where denotes the squeezed-cavity mode decay, and are
[TABLE]
respectively. Then, by choosing and (), we obtain
[TABLE]
In this case, the master equation in Lindblad form as shown in Eq. (7) is obtained.
Assuming that the squeezed cavity is initially in the squeezed vacuum state and the atoms are initially in their ground states, in the limit of Misra and Sudarshan (1977); Itano et al. (1990); Kwiat et al. (1995); Cook (1988); Facchi and Pascazio (2002, 2008), the evolution of the system is confined to the effective subspace spanned by
[TABLE]
where are the basic vectors of the ground-state subspace, and is the dark state of the excited-state subspace. Here, is a pure single-mode squeezed vacuum state consisting entirely of even-photon Fock state superpositions,
[TABLE]
The even-photon Fock state obeys and . Single-mode squeezed states are typically generated by degenerate parametric oscillation in an optical parametric oscillator Wu et al. (1987), or using four-wave mixing Slusher et al. (1985).
By modulating the Rabi frequencies as
[TABLE]
and the effective Hamiltonian for the system becomes
[TABLE]
Here, represents the interaction induced by pulse modulation. Accordingly, we obtain the effective Lindblad operators describing the dissipation processes in the effective evolution subspace as
[TABLE]
According to the effective Hamiltonian in Eq. (71) and the effective Lindblad operators in Eq. (75), we find that, and (). This means without the pulse modulation (), is a steady state of the system. Then, the time evolution of the system can be understood as follows: the microwave fields drive the transitions , and the laser fields excite to , which then decays to via atomic spontaneous emission (). In this case, the populations initially in the ground-state subspace are driven to and trapped in , resulting in a maximally entangled state (see the inset of Fig. 9). Noting that the effective decay rate from to is two times larger than those from to and , the excited state preferentially decays to the ground state rather than the other ground states. As shown in Fig. 9, the population of the state increases rapidly to a relatively high level, and then gradually decreases in an oscillating manner. Meanwhile, the populations of the undesired ground states () and () decrease quickly to a negligible level.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Zheng and Guo (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) . · doi ↗
- 2Greenberger et al. (1990) D. M. Greenberger, M. A. Horne, A. Shimony, and A Zeilinger, “Bell’s theorem without inequalities,” Am. J. Phys. 58 , 1131–1143 (1990) . · doi ↗
- 3Dür et al. (2000) W. Dür, G. Vidal, and J. I. Cirac, “Three qubits can be entangled in two inequivalent ways,” Phys. Rev. A 62 , 062314 (2000) . · doi ↗
- 4Wootters (1998) W. K. Wootters, “Entanglement of formation of an arbitrary state of two qubits,” Phys. Rev. Lett. 80 , 2245–2248 (1998) . · doi ↗
- 5Lo and Popescu (2001) H.-K. Lo and S. Popescu, “Concentrating entanglement by local actions: Beyond mean values,” Phys. Rev. A 63 , 022301 (2001) . · doi ↗
- 6Pellizzari et al. (1995) T. Pellizzari, S. A. Gardiner, J. I. Cirac, and P. Zoller, “Decoherence, continuous observation, and quantum computing: A cavity QED model,” Phys. Rev. Lett. 75 , 3788–3791 (1995) . · doi ↗
- 7Pachos and Walther (2002) J. Pachos and H. Walther, “Quantum computation with trapped ions in an optical cavity,” Phys. Rev. Lett. 89 , 187903 (2002) . · doi ↗
- 8Beige et al. (2000) A. Beige, D. Braun, B. Tregenna, and P. L. Knight, “Quantum computing using dissipation to remain in a decoherence-free subspace,” Phys. Rev. Lett. 85 , 1762–1765 (2000) . · doi ↗
