Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2017 Sep 20;7:11937. doi: 10.1038/s41598-017-12280-z

Decoherence Control of Nitrogen-Vacancy Centers

Chao Lei 1,2,3,#, Shijie Peng 1,#, Chenyong Ju 1,2, Man-Hong Yung 4,, Jiangfeng Du 1,2,
PMCID: PMC5607330  PMID: 28931932

Abstract

Quantum mechanical systems lose coherence through interacting with external environments—a process known as decoherence. Although decoherence is detrimental for most of the tasks in quantum information processing, a substantial degree of decoherence is crucial for boosting the efficiency of quantum processes, for example, in quantum biology and other open systems. The key to the success in simulating those open quantum systems is therefore the ability of controlling decoherence, instead of eliminating it. Motivated by simulating quantum open systems with Nitrogen-Vacancy centers, which has become an increasingly important platform for quantum information processing tasks, we developed a new set of steering pulse sequences for controlling various coherence times of Nitrogen-Vacancy centers; our method is based on a hybrid approach that exploits ingredients in both digital and analog quantum simulations to dynamically couple or decouple the system with the physical environment. Our numerical simulations, based on experimentally-feasible parameters, indicate that decoherence of Nitrogen-Vacancy centers can be controlled externally to a very large extend.

Introduction

A quantum simulator15 is potentially a powerful tool for solving many-body problems that are not tractable by classical methods. Generally, there are two types of quantum simulators. The first type, called digital quantum simulator211, makes use of a general-purpose quantum computer, where quantum states are encoded with qubits and the dynamical evolution is programmed in a quantum circuit. The other kind of quantum simulators are called analog quantum simulators1216, where the Hamiltonian of the simulated quantum system is directly engineered in a dedicated quantum device, for example, trapped ions14,17 and optical lattices18.

The main challenge of constructing a practical quantum simulator is to reduce the influence of environmental decoherence, a universal problem for all tasks in quantum information processing including quantum communication19. In practice, a quantum simulator is necessarily an open quantum system, where the underlying system-environment interaction20 plays the main role in determining the performance of a quantum simulator. Furthermore, it is important to understand how a quantum simulator can simulate open quantum systems20, which is also intractable since the large number of degree of environment but of fundamental importance for understanding many physical phenomena in, for example, quantum optics21, quantum measurement22, and biological systems23.

In the literature, digital approaches of open-system quantum simulation2427 have been theoretically studied and experimentally demonstrated. Similarly, analog quantum simulators of open quantum system has been theoretically proposed28 and experimentally investigated29. An important approach to tackle the decoherence problem, called dynamical decoupling3036, has been developed to significantly eliminate the system-environment interactions37, through a sequence of external pulses applied to the system. Experimental implementations of dynamical decoupling indicate that such approach is widely applicable to various experimental platforms3845. Moreover, an extension of dynamical decoupling is possible for universal quantum computation46,47, and other applications48,49.

As one of the most promising platform of quantum computation and quantum simulation5053, Nitrogen-Vacancy(NV) center in diamond can be manipulated in room temperature with a long coherence time. NV centers have been proposed to simulate various quantum systems and realized in experiment, for example Helium Hydride Cation51 and directly measuring topological quantum number53. Here we study the possibility of simulating open quantum systems through an extension of the idea of dynamical decoupling and apply it to NV centers. Dynamical decoupling has been applied to NV center for eliminating the noise from environment and thus prolong the coherence time of electron spin40,54,55. In this paper, we developed a new set of decoupling pulse sequences that can control the decoherence of the off-diagonal matrix elements of the system density matrix.

The pulse sequences of interest in this work are different from those in dynamical decoupling3032, whose primary goal is to decouple the system from the noise of the environment. In other words, the goal of dynamical decoupling was to maintain the purity of the quantum system. Here we aim to control the decoherence by exploiting the existing environment, so that we can simulate the dynamics of an open quantum system without the need to maintain the purity of the system, instead, environment of the quantum simulator can be employed to be as part of open quantum system. Consequently, we can avoid the need of including extra ancilla qubits as in other digital approaches of simulating open quantum systems.

Results

Full system controllability

A NV center can be viewed as a 3-dimensional qudit with a Hamiltonian H NV of the following form40,54,55:

HNV=DSz2+γBzSz, 1

where S z is the 3-dimensional spin operator for the spin-1 particle {m = 1,0,−1}, D is the zero-field splitting, γ =  B is the gyromagnetic ratio with μ B the Bohr magneton, g is the g-factor of electron, and B z is the static magnetic field applied along z direction ([111] axis). Before we demonstrate how to control decoherence, we first show how to simulate a general 3-dimensional system with a NV center in rotating frame.

For any given Hamiltonian Hˆ and quantum state |Ψ, and a unitary operator Uˆ=eiAˆt associated with a self-adjoint operator Aˆ (where we used the natural units that set =1), the corresponding quantum state in the rotating frame is given by, |ΨrotUˆ|Ψ. We can obtain an effective Hamiltonian H rot in the rotating frame as follows: Hrot=UˆHˆUˆAˆ. In our case, we include two sets of microwave pulses to a NV center. In the laboratory frame, the Hamiltonian in Eq. ((1)) becomes:

HNVmw=HNV+γB1Sxcosω1t+γB2Sxcosω2t, 2

where H NV is the Hamiltonian shown as in Eq. ((1)), S x is a 3 × 3 spin operator, B 1/2 is the magnetic field amplitude of the applied microwave along the xˆ axis, and ω 1 and ω 2 are the frequencies of the applied microwave. The target Hamiltonian H S can be obtained by choosing a rotating frame reference where Aˆ=ω1|11|+ω2|11|, which gives the following simulated Hamiltonian:

HS=[D+γBzω1γB1/220γB1/220γB2/220γB2/22DγBzω2] 3

If the microwaves are turned off, then B 1 = B 2 = 0, while in the resonance conditions: ω 1 = D + γB z and ω 2 = D − γB z, the system Hamiltonian is H S = 0.

Noises in Nitrogen-Vacancy (N-V) centers

In the process of diamond growth, impurities such as isotope 13C and nitrogen sneak inside. The most possible result of substituting Nitrogen atoms is to generate P1 centers(while NV centers is a P1 centers that captured a vacancy). Normally, a NV center is subject to a local environment dominated by the surrounding nuclear spins of 13C’s and electron spins of P1 centers, which effectively produce a random magnetic field b(t) to the NV center54,40,56, i.e.,

HSB=γb(t)Sz=γb(t)(|11||11|) 4

which is also the system-environment interaction Hamiltonain of the simulated quantum system, since in rotating frame H SB remains the same as in laboratory frame.

For the case where the environment is dominated by the nuclear spins, the random fluctuation of the magnetic field can be regarded as stationary, i.e., b(t) = b, and is usually approximated as Markovian and Gaussian54, i.e., with a probability distribution Pr(b)=eb2/2σb2/2πσb, where σ b is the variance of the random magnetic field from the spin bath. For the case where the noise come from electron spins instead, the random process of b(t) can be approximated by the Ornstein-Uhlenbeck process40, with a correlation function C(t) given by the follow: C(t)=b(0)b(t)=l2exp(R|t|), where l describes the characteristic strength of the coupling of the NV center to the bath, and R = 1/τ c is the transition rate, with τ c being the correlation time of the spin bath40.

Strengthening decoherence

We note that the evolution operator e iHt of the total system can be divided by many small time slices, Δt ≡ t/n, eiHt=limn(eiHSΔteiHSBΔteiHBΔt)n in which H B is the Hamiltonian of the environment which can be treated as interacting spin system56. One way to strengthen decoherence, assisted by the environment, can be achieved as follows: first, turn off the system Hamiltonian momentarily, for a time period, λΔt, where λ > 0, the evolution of the total system is then: ei(HSB+HB)λΔt, which can be realized by seting B1/2 = 0 and ω=D±γBzε1+λ in Eq. (3), where ω is the frequency of the microwave and ε is the diagonal element of simulated quantum system, here the factor 11+λ appears as the diagonal elements do not disappear in the same rotating frame when turning off the microwaves. Then we allow the total system to evolve freely for a time period of Δt. The pattern is then repeated for n times, i.e., (ei(HS+HSB+HB)Δtei(HSB+HB)λΔt)n, which can be appoximately rewritten as (ei(HS+(1+λ)(HSB+HB))Δt)n if Δt is small enough.

Therefore, in the large-n limit, we obtain an effective Hamiltonian as follow:

Heff=HS+(1+λ)(HSB+HB), 5

which contains an interaction term H SB amplified by a factor of (1 + λ). The side product is that the environment Hamiltonian is also amplified, that there also appear a factor λ before the environment Hamiltonian H B. However, for the spin environments of NV centers, the effect can be ignored.

Controlling noises from nuclear and electron spin baths

In the following we consider combining Trotter expansion with decoupling pulses to control the decoherence in NV centers. For NV centers in ultra-pure diamonds(in which there is no measurable nitrogen impurity), the dominant decoherence source comes from the surrounding 13C spin bath54, which is random but stationary within the time-scale of system dynamics. Consequently, for a qubit initialized in a pure state, |ψ0=α|0+β|1, and H S = 0, the off-diagonal matrix element (or coherence), ρ12=αβPr(b)ei2b(1+λ)tdb, decays as follows:

ρ12=αβe2σb2(1+λ)2t2 6

which implies that the effective coherence time T 2 can be controlled by the parameter λ,

T2(λ)=12σb(1+λ). 7

The results are shown in Fig. 1, from Fig. 1(a), it is clear that tuning the parameter λ can strengthen the decoherence, i.e., we can destroy the coherence via increasing the value of λ. The coherence time can be extract from above and shown in Fig. 1(b).

Figure 1.

Figure 1

(a) Coherence vs evolution time with only nuclear spin noise, the variance of the random magnetic field is set to be 0.2 Gauss. (b) Coherence time vs λ extracted from (a). (c)Evolution of population with time in real NV center, in which both nuclear spin noise and electron noise are considered, the dots are simulated points and the curves are fitted one. (d) Coherence time got from the fitting curve in (c) vs λ from 0 to 3, here the values of λ in the calculation are 0, 0.25, 0.5, 0.75, 1, 2, 3.

In diamonds with nitrogen impurities, such as Type I, the electron spins also contribute to the decoherence of the system, which means that both nuclear and electron noise should be included. We investigate the decoherence of a two-level system numerically with experimental parameters of NV center, in which both nuclear and electron spin noise are included. The simulated results are shown in Fig. 1(c) and (d), in which only one microwave is applied. The parameters are as follow: The static magnetic field is B z = 100 Gauss, the zero-field splitting is D = 2.87GHz, the frequency of applied microwave is a little away from the resonance frequency(which is 3.15 GHz) of NV center at the given static magnetic field with a detuning 1.9 × 106/(1 + λ) Hz and with a amplitude of 1.717 Gauss, λ is varied from zero (i.e. the T2) to 3. the coherence time vs λ is shown in Fig. 1(d), it shows that the coherence time of NV center decrease when λ increases, which shows a effective control of decoherence caused by system-environment interaction.

Weakening decoherence

Let us consider a two-level system and a swap gate defined by: u12σx=(0110), after which the two state applied undergo an opposite evolution under the influence of environment noise and thus decouple the quantum system from the environment(i.e. the microwave is turned off) after two swap gates are inserted, shown as in Fig. 2(a). During the decoupling part of Trotter decomposition,the evolution is then:

σxeiHSBt2σxeiHSBt1=eiHSB(t1t2) 8

where we set t 1 = (λ − μt and t 2 = μΔt. The overall evolution becomes (ei(HS+HSB)ΔteiHSB(λ2μ)Δt)n, which implies the following effective Hamiltonian:

Heff=HS+(1+λ2μ)HSB 9

Figure 2.

Figure 2

(a) Pulse sequence for two-level system, where x means the microwave is applied along x axis, the red bar is the idea π pulse (i.e. the swap gate), blue rectangles mean the evolution of HS, which in the numerical calculations we always set it to be 0 without losing generalization. (b) Coherence vs evolution time with different distance between two swap gate, the variance of the random magnetic field is set to be 0.2 Gauss. (c) Coherence time vs τ, which is defined in μΔt=τλΔt/2. (d) is the values of |f˜(t,ω)|2 which represent the noise spectrum. (e) The coherence vs time with different τ.

Supposing a qubit initialized in a pure state, |ψ0=α|0+β|1, and H S = 0 and the environment noise is quasi-static, for the case in NV center, it corresponds to the case that the noise come from the nuclear spin, the coherence vs evolution time under Eq. ((9)) becomes:

ρ12=αβe2σb2(1+λ2μ)2t2 10

This is shown in Fig. 2(b) and the coherence time is:

T2dd=12σb(1+λ2μ), 11

which is shown in Fig. 2(c). Here we set the distance between two swap gate as μΔt = τλΔt/2, where τ is the variable shown in Fig. 2 that τ=μλ/2. When τ = 0, it is equal to the case with no decoupling pulse, but when τ = 1, the distance between the two swap gate is half of the λΔt, which is the same as the CPMG pulse57,58.

In the presence of electron spin noise, the coherence factor of a two-level system subject to dynamical decoupling is given59 by, W(t)=|exp(i0tb(t)f(t;t)dt)|=eχ(t), where b(t) is the random noise, the function f(t;t′) depends on the pulse sequence as:

f(t;t)=k=0n(1)kθ(tk+1t)θ(ttk), 12

with θ(t′) the Heaviside step function, t 0 = 0 and tn+1=t is the total evolution time.

Furthermore, the spectral density of the noise C(ω) is given40 by, C(ω)=l22RR2+ω2, which implies that

χ(t)=0dω2πC(ω)|f˜(t,ω)|2, 13

where f˜(t,ω)=eiωtf(t;t)dt. For our case, the square of Fourier transform of f(t; t′) is found to be:

|f˜(t,ω)|2=1ω21cosωt1cosωδ(6+2cosωδ4cosωδ14cosωδ2) 14

where δ = λΔt, δ 1 = (λ − μt and δ 2 = μΔt, Eq. (14) is the spectral dependence of decoupling pulses and is known as “Filter function”. The values of |f˜(t,ω)|2 are shown in Fig. 2(d) with different values of τ, which is defined in the following relation: μΔt = τλΔt/2. We obtained the coherence factor shown as in Fig. 2(e), after applying a large cut-off frequency. It is obviously that when τ becomes larger, the coherence time becomes longer.

Fine-tuning decoherence for qudit

For general multi-level systems, i.e., qudit, we have an extra tool to fine-tuning the decoherence for different off-diagonal elements in the density matrix. Here we consider only the stationary noise from nuclear spin in three-level system. Let us consider that the dynamical decoupling pulses, u12=|10|+|01|+|11|, are applied on only one channel(shown as in Fig. 3(a)), between |m=1 and |m=0, then the relevant part in evolution operator becomes:

u12eiHSBt2u12eiHSBt1eib(t)L(t1,t2), 15

where L(t1,t2)=|11|t1+|00|t2|11|(t1+t2), we again set: t1=(λμ)Δt and t2=μΔt, which gives t1+t2=λΔt shown as in Fig. 3(a).

Figure 3.

Figure 3

(a) Pulse sequences for the case applying the decoupling pulses in only one channel in three-level system, labels have the same meaning as Fig. 1. (b) Pulse sequences of the case that applying the decoupling pulses in two channel of the three-level system, where MW1 and MW2 mean the first and second microwave with different frequencies. (c)The coherence time vs τ(which is defined in μΔt=τλΔt/2), as τ increases, the coherence time T212 increases and the other two coherence time remains almost the same, decrease or increase slightly. (df) show the coherence time between the three levels, with (d) is the T212, (e) the T213 and (f)T223, in which τ 1 and τ 2 are defined in μ1(2)Δt=τ1(2)λΔt/2, the blue region means the coherence time is small and the red ones is the case the coherence time increases sharply.

Therefore, when we choose t1<t2, we effectively make state |1 experience less dephasing then state |0, and vice versa. For any given initial state, ψ0=α|1+β|0+γ|1, if we set HS=0, then the off diagonal elements of the associated density matrix decay as follows:

ρ12=αβeσb2(1+λ2μ)2t2/2 16
ρ13=αγeσb2(2+2λμ)2t2/2 17
ρ23=βγeσb2(1+λ+μ)2t2/2 18

here the lower label 1, 2, 3 represent the state |m=1, |m=0 and |m=1, also this can be got after averaging of environment noise which is stationary Gaussian. In other words, the coherence times of the off-diagonal elements are given by:

T212=2σb(1+λ2μ)T213=2σb(2+2λμ)T223=2σb(1+λ+μ) 19

The dependence of the coherence times with the parameter μ is shown in Fig. 3(c). We see that the coherence time T212 is more sensitive to the change of μ, compared with the other coherence times.

Furthermore, additional dynamical decoupling pulses, e.g., u23=|11|+|10|+|01|, can be applied, u12 and u23 are the π pulse applied between |m=1|m=0 and |m=0|m=1 respectively, then we have the dynamics of the system as(let μ2>μ1):

u23u12eiHSBt3u12eiHSBt2u23eiHSBt1eib(t)L(t1,t2,t3) 20

where L(t1,t2,t3)=|11|(t1+t2)|00|(t2+t3)|11|(t1t3). Suppose we set t1=(λμ2)Δt, t2=(μ2μ1)Δt and t3=μ1Δt (shown in Fig. 3(b) with 0μ1λ and μ1μ2λ. It gives t1+t2+t3=λΔt. Consequently, for any initial state, ψ0=α|1+β|0+γ|1, the time-dependent off-diagonal elements of the density matrix are given by:

ρ12(t)=αβe12σb2(1+λ(μ1μ2))2t2ρ13(t)=αγe12σb2(2+2λ(2μ1+μ2))2t2ρ23(t)=βγe12σb2(1+λ(μ1+2μ2))2t2 21

which means that the coherence times of the off-diagonal elements are given by:

T212=2σb(1+λ(μ1μ2))T213=2σb(2+2λ(2μ1+μ2))T223=2σb(1+λ(μ1+2μ2)) 22

The coherence times with parameters μ1(2) are shown in Fig. 3(d–f)(in which the case of τ2τ12 is also included, where τ 1 and τ 2 are defined in μ1(2)Δt=τ1(2)λΔt/2). In the plots, the orange region means the coherence time is small and the blue-white one is the case the coherence time increases sharply. It shows that the coherence between different levels can be tuned though changing the insert time of the two decoupling time, which is similar with the case of only one channel is applied with decoupling pulse. For the case that decoupling pulses are applied on both channels, the coherence time T213 increases when μ1 and μ2 are close to λ (shown in Fig. 3(e)), while the other two coherence time remains essentially the same as the one before applying the decoupling pulses, and here the coherence time of other two state without decoupling pulses applied increase at a range that is different from the other channels, this shows that with decoupling pulses applied only two channels, we can get the coherence time between all the states tuned.

Discussions

Trotter decomposition combined with decoupling pulses is shown to be able to control the decoherence in NV centers, although this method is numerically tested only for NV centers with two and three energy levels, further generalization of our method to d-dimensional (d4) systems is possible. Following the previous results, the decoherence of different off-diagonal elements can be controlled by the following sequence:

i<juiji<j[eiHSBtijuij]eiHSBt0ei(HS+HSB)Δt, 23

where tij’s are the adjustable waiting time before the swap gate between i and j level is applied after the next swap gate uij=I+|ij|+|ji||ii||jj|, where t0 is included as the waiting time before the first swap gate applied.

In conclusions, in this work, we have presented a new method that can control the decoherence in NV center by combining the Trotter decomposition and decoupling pulses, which have potential applications in simulating open quantum system with NV center. The scheme exploits the intrinsic decoherence from the environment, and contains the benefits of the university of digital quantum simulation and also the efficiency of analog quantum simulation. Our results indicate that such a scheme is experimentally feasible. This method could also be used as a test bed for non-Markovian open quantum systems60,61, without obvious roadblock. And also the method we proposed here can be applied to quantum simulation of various open quantum system, if it has the same type of environment of the quantum simulator, a simplest classification is Markovian or non-Markovian for example.

Methods

Model of environment in Nitrogen-Vancancy center

The environment we take into consideration contains both electron spins (mainly come from P1 center, i.e. the neutral charge state of substitutional Nitrogen) and nuclear spins (13C), but mainly nuclear spins, which is more similar to the exact bath of deep (about 10 μm) NV centers in diamond with a nitrogen content whose concentration is small than 1 ppb. The model used in this paper come from the literatures40,54, for the noise of nuclear spin, it was treated to be stationary compared with the evolution of the NV center, while for the electron spin noise, it is decribed as the Ornstein-Uhlenbeck process.

Numerical calculations

The algorithm adopted here for Fig. 1(c) is RK4 (Runge-Kutta method of the 4-th order), which is a well-known numerical method of ordinary differential equations. In the calculations we used ideal π pulse (i.e. the swap gates), while in laboratory frame, finite-time length of microwave is used to inverse the population of the corresponding two level if needed.

Simulating a open quantum system in NV center

The simulation of the quantum system is realized in a rotating frame. The process is as follow: 1, Initialize the NV center to the |0 state, from which the population can be read with laser, all of the other states can be read by transfering the population to this state; 2, Apply the microwave which is used to realize the simulating of the target quantum system, evolution for a time duration δt, during which both the quantum system and the environment are included; 3, Turn off the microwave for a duration of λδt, then only the environment is included in the evolution; 4, Repeat this process for n times, and finally with Trotter theorem, the strengthening of the system-environment interaction can be realized. To weaken the decoherence of the simulated quantum system, two π pulses are applied to decouple the system from the environment, and the two pulses are inserted during the same period of evolution when the simulated quantum system is turned off.

Acknowledgements

This work was supported by the National Key Basic Research Program of China (Grant No. 2013CB921800), the National Natural Science Foundation of China (Grant Nos. 11227901 and 11405093), and the Strategic Priority Research Program (B) of the CAS (Grant No. XDB01030400).

Author Contributions

M.-H.Y. and J.D. proposed the idea, C.L. and S.P. performed the calculation, C.L., S.P. and M.-H.Y. wrote the manuscript. All authors reviewed and commented the manuscript.

Competing Interests

The authors declare that they have no competing interests.

Footnotes

Chao Lei and Shijie Peng contributed equally to this work.

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Man-Hong Yung, Email: yung@sustc.edu.cn.

Jiangfeng Du, Email: djf@ustc.edu.cn.

References

  • 1.Feynman, R. P. Simulating physics with computers. Int. J. Theor. Phys. 21 (1982).
  • 2.Lloyd, S. Universal quantum simulators. Science273 (1996). [DOI] [PubMed]
  • 3.Buluta I, Nori F. Quantum simulators. Science. 2009;326:108–111. doi: 10.1126/science.1177838. [DOI] [PubMed] [Google Scholar]
  • 4.Kassal I, Whitfield JD, Perdomo-Ortiz A, Yung M-H, Aspuru-Guzik A. Simulating Chemistry Using Quantum Computers. Annu. Rev. Phys. Chem. 2011;62:185–207. doi: 10.1146/annurev-physchem-032210-103512. [DOI] [PubMed] [Google Scholar]
  • 5.Yung, M.-H., Whitfield, J. D., Boixo, S., Tempel, D. G. & Aspuru-Guzik, A. Introduction to Quantum Algorithms for Physics and Chemistry. In Kais, S. (ed.) Adv. Chem. Phys., vol. 154, 67–106 (John Wiley & Sons, Inc., New Jersey, 2014).
  • 6.Lanyon B, et al. Universal digital quantum simulation with trapped ions. Science. 2011;334:57–61. doi: 10.1126/science.1208001. [DOI] [PubMed] [Google Scholar]
  • 7.Zhang J, Yung M-H, Laflamme R, Aspuru-Guzik A, Baugh J. Digital quantum simulation of the statistical mechanics of a frustrated magnet. Nat. Commun. 2012;3:880. doi: 10.1038/ncomms1860. [DOI] [PubMed] [Google Scholar]
  • 8.Yung M-H, Aspuru-Guzik A. A quantum-quantum Metropolis algorithm. Proc. Natl. Acad. Sci. 2012;109:754–759. doi: 10.1073/pnas.1111758109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Li Z, et al. Solving quantum ground-state problems with nuclear magnetic resonance. Sci. Rep. 2011;1:88. doi: 10.1038/srep00088. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Yung M-H, et al. From transistor to trapped-ion computers for quantum chemistry. Sci. Rep. 2014;4:3589. doi: 10.1038/srep03589. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Hayes D, Flammia ST, Biercuk MJ. Programmable quantum simulation by dynamic hamiltonian engineering. New Journal of Physics. 2014;16:083027. doi: 10.1088/1367-2630/16/8/083027. [DOI] [Google Scholar]
  • 12.Somaroo S, Tseng CH, Havel TF, Laflamme R, Cory DG. Quantum simulations on a quantum computer. Phys. Rev. Lett. 1999;82:5381–5384. doi: 10.1103/PhysRevLett.82.5381. [DOI] [Google Scholar]
  • 13.Lamata L, León J, Schätz T, Solano E. Dirac equation and quantum relativistic effects in a single trapped ion. Phys. Rev. Lett. 2007;98:253005. doi: 10.1103/PhysRevLett.98.253005. [DOI] [PubMed] [Google Scholar]
  • 14.Gerritsma R, et al. Quantum simulation of the dirac equation. Nature. 2010;463:68–71. doi: 10.1038/nature08688. [DOI] [PubMed] [Google Scholar]
  • 15.Yung, M.-H., Gao, X. & Huh, J. Universal bound on sampling bosons in linear optics. arXiv:1608.00383 (2016). [DOI] [PMC free article] [PubMed]
  • 16.Huh, J. & Yung, M.-H. Hierarchy in sampling gaussian-correlated bosons. arXiv:1608.03731 (2016).
  • 17.Shen Y, et al. Quantum implementation of the unitary coupled cluster for simulating molecular electronic structure. Phys. Rev. A. 2017;95:020501. doi: 10.1103/PhysRevA.95.020501. [DOI] [Google Scholar]
  • 18.Greiner M, Folling S. Condensed-matter physics: Optical lattices. Nature. 2008;453:736–738. doi: 10.1038/453736a. [DOI] [PubMed] [Google Scholar]
  • 19.Xu J-S, et al. Robust bidirectional links for photonic quantum networks. Sci. Adv. 2016;2:e1500672–e1500672. doi: 10.1126/sciadv.1500672. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Breuer, H.-P. & Petruccione, F. The theory of open quantum systems (Oxford university press, Oxford, 2002).
  • 21.Scully, M. O. & Zubairy, M. S. Quantum optics (Cambridge university press, New York, 1997).
  • 22.Schlosshauer M. Decoherence, the measurement problem, and interpretations of quantum mechanics. Rev. Mod. Phys. 2005;76:1267. doi: 10.1103/RevModPhys.76.1267. [DOI] [Google Scholar]
  • 23.Suess D, Eisfeld A, Strunz W. Hierarchy of stochastic pure states for open quantum system dynamics. Phys. Rev. Lett. 2014;113:150403. doi: 10.1103/PhysRevLett.113.150403. [DOI] [PubMed] [Google Scholar]
  • 24.Bacon D, et al. Universal simulation of markovian quantum dynamics. Phys. Rev. A. 2001;64:062302. doi: 10.1103/PhysRevA.64.062302. [DOI] [Google Scholar]
  • 25.Yung M-H, Nagaj D, Whitfield JD, Aspuru-Guzik A. Simulation of classical thermal states on a quantum computer: A transfer-matrix approach. Phys. Rev. A. 2010;82:060302. doi: 10.1103/PhysRevA.82.060302. [DOI] [Google Scholar]
  • 26.Xu J-S, et al. Demon-like algorithmic quantum cooling and its realization with quantum optics. Nat. Photonics. 2014;8:113–118. doi: 10.1038/nphoton.2013.354. [DOI] [Google Scholar]
  • 27.Sweke R, Sinayskiy I, Petruccione F. Simulation of single-qubit open quantum systems. Phys. Rev. A. 2014;90:022331. doi: 10.1103/PhysRevA.90.022331. [DOI] [Google Scholar]
  • 28.Mostame S, et al. Quantum simulator of an open quantum system using superconducting qubits: exciton transport in photosynthetic complexes. New J. Phys. 2012;14:105013. doi: 10.1088/1367-2630/14/10/105013. [DOI] [Google Scholar]
  • 29.Haeberlein, M. et al. Spin-boson model with an engineered reservoir in circuit quantum electrodynamics. arXiv:1506.09114 (2015).
  • 30.Viola L, Knill E, Lloyd S. Dynamical decoupling of open quantum systems. Phys. Rev. Lett. 1999;82:2417. doi: 10.1103/PhysRevLett.82.2417. [DOI] [PubMed] [Google Scholar]
  • 31.Khodjasteh K, Lidar D. Fault-tolerant quantum dynamical decoupling. Phys. Rev. Lett. 2005;95:180501. doi: 10.1103/PhysRevLett.95.180501. [DOI] [PubMed] [Google Scholar]
  • 32.Uhrig GS. Keeping a quantum bit alive by optimized π-pulse sequences. Phys. Rev. Lett. 2007;98:100504. doi: 10.1103/PhysRevLett.98.100504. [DOI] [PubMed] [Google Scholar]
  • 33.Yang W, Liu R-B. Universality of uhrig dynamical decoupling for suppressing qubit pure dephasing and relaxation. Phys. Rev. Lett. 2008;101:180403. doi: 10.1103/PhysRevLett.101.180403. [DOI] [PubMed] [Google Scholar]
  • 34.Gordon G, Kurizki G, Lidar DA. Optimal dynamical decoherence control of a qubit. Phys. Rev. Lett. 2008;101:010403. doi: 10.1103/PhysRevLett.101.010403. [DOI] [PubMed] [Google Scholar]
  • 35.Uhrig GS. Concatenated control sequences based on optimized dynamic decoupling. Phys. Rev. Lett. 2009;102:120502. doi: 10.1103/PhysRevLett.102.120502. [DOI] [PubMed] [Google Scholar]
  • 36.West JR, Fong BH, Lidar DA. Near-optimal dynamical decoupling of a qubit. Phys. Rev. Lett. 2010;104:130501. doi: 10.1103/PhysRevLett.104.130501. [DOI] [PubMed] [Google Scholar]
  • 37.Breuer H-P, Laine E-M, Piilo J, Vacchini B. Colloquium: Non-markovian dynamics in open quantum systems. Rev. Mod. Phys. 2016;88:021002. doi: 10.1103/RevModPhys.88.021002. [DOI] [Google Scholar]
  • 38.Biercuk MJ, et al. Optimized dynamical decoupling in a model quantum memory. Nature. 2009;458:996–1000. doi: 10.1038/nature07951. [DOI] [PubMed] [Google Scholar]
  • 39.Du J, et al. Preserving electron spin coherence in solids by optimal dynamical decoupling. Nature. 2009;461:1265–1268. doi: 10.1038/nature08470. [DOI] [PubMed] [Google Scholar]
  • 40.De Lange G, Wang Z, Riste D, Dobrovitski V, Hanson R. Universal dynamical decoupling of a single solid-state spin from a spin bath. Science. 2010;330:60–63. doi: 10.1126/science.1192739. [DOI] [PubMed] [Google Scholar]
  • 41.Sagi Y, Almog I, Davidson N. Process tomography of dynamical decoupling in a dense cold atomic ensemble. Phys. Rev. Lett. 2010;105:053201. doi: 10.1103/PhysRevLett.105.053201. [DOI] [PubMed] [Google Scholar]
  • 42.Averin DV, et al. Suppression of dephasing by qubit motion in superconducting circuits. Phys. Rev. Lett. 2016;116:010501. doi: 10.1103/PhysRevLett.116.010501. [DOI] [PubMed] [Google Scholar]
  • 43.Bluhm H, et al. Dephasing time of gaas electron-spin qubits coupled to a nuclear bath exceeding 200[thinsp][mu]s. Nat Phys. 2011;7:109–113. doi: 10.1038/nphys1856. [DOI] [Google Scholar]
  • 44.Medford J, et al. Scaling of dynamical decoupling for spin qubits. Phys. Rev. Lett. 2012;108:086802. doi: 10.1103/PhysRevLett.108.086802. [DOI] [PubMed] [Google Scholar]
  • 45.Ryan CA, Hodges JS, Cory DG. Robust decoupling techniques to extend quantum coherence in diamond. Phys. Rev. Lett. 2010;105:200402. doi: 10.1103/PhysRevLett.105.200402. [DOI] [PubMed] [Google Scholar]
  • 46.West JR, Lidar DA, Fong BH, Gyure MF. High fidelity quantum gates via dynamical decoupling. Phys. Rev. Lett. 2010;105:230503. doi: 10.1103/PhysRevLett.105.230503. [DOI] [PubMed] [Google Scholar]
  • 47.Souza AM, Álvarez GA, Suter D. Robust dynamical decoupling for quantum computing and quantum memory. Phys. Rev. Lett. 2011;106:240501. doi: 10.1103/PhysRevLett.106.240501. [DOI] [PubMed] [Google Scholar]
  • 48.Khodjasteh K, Lidar DA, Viola L. Arbitrarily accurate dynamical control in open quantum systems. Phys. Rev. Lett. 2010;104:090501. doi: 10.1103/PhysRevLett.104.090501. [DOI] [PubMed] [Google Scholar]
  • 49.Wolfowicz G, et al. Conditional control of donor nuclear spins in silicon using stark shifts. Phys. Rev. Lett. 2014;113:157601. doi: 10.1103/PhysRevLett.113.157601. [DOI] [PubMed] [Google Scholar]
  • 50.Cai J, Retzker A, Jelezko F, Plenio MB. A large-scale quantum simulator on a diamond surface at room temperature. Nat Phys. 2013;9:168–173. doi: 10.1038/nphys2519. [DOI] [Google Scholar]
  • 51.Wang Y, et al. Quantum simulation of helium hydride cation in a solid-state spin register. ACS nano. 2015;9:7769–7774. doi: 10.1021/acsnano.5b01651. [DOI] [PubMed] [Google Scholar]
  • 52.Ju C, et al. Nv-center-based digital quantum simulation of a quantum phase transition in topological insulators. Phys. Rev. B. 2014;89:045432. doi: 10.1103/PhysRevB.89.045432. [DOI] [Google Scholar]
  • 53.Kong F, et al. Direct measurement of topological numbers with spins in diamond. Phys. Rev. Lett. 2016;117:060503. doi: 10.1103/PhysRevLett.117.060503. [DOI] [PubMed] [Google Scholar]
  • 54.Hanson R, Dobrovitski V, Feiguin A, Gywat O, Awschalom D. Coherent dynamics of a single spin interacting with an adjustable spin bath. Science. 2008;320:352–355. doi: 10.1126/science.1155400. [DOI] [PubMed] [Google Scholar]
  • 55.Hanson R, Gywat O, Awschalom DD. Room-temperature manipulation and decoherence of a single spin in diamond. Phys. Rev. B. 2006;74:161203. doi: 10.1103/PhysRevB.74.161203. [DOI] [Google Scholar]
  • 56.Hall LT, Cole JH, Hollenberg LCL. Analytic solutions to the central-spin problem for nitrogen-vacancy centers in diamond. Phys. Rev. B. 2014;90:075201. doi: 10.1103/PhysRevB.90.075201. [DOI] [Google Scholar]
  • 57.Carr HY, Purcell EM. Effects of diffusion on free precession in nuclear magnetic resonance experiments. Phys. Rev. 1954;94:630. doi: 10.1103/PhysRev.94.630. [DOI] [Google Scholar]
  • 58.Meiboom S, Gill D. Modified spin-echo method for measuring nuclear relaxation times. Rev. Sci. Instrum. 1958;29:688–691. doi: 10.1063/1.1716296. [DOI] [Google Scholar]
  • 59.Cywinski, L., Lutchyn, R. M., Nave, C. P. & Sarma, S. D. How to enhance dephasing time in superconducting qubits. Phys. Rev. B 77, 174509 (2008).
  • 60.Breuer H-P, Laine E-M, Piilo J. Measure for the degree of non-markovian behavior of quantum processes in open systems. Phys. Rev. Lett. 2009;103:210401. doi: 10.1103/PhysRevLett.103.210401. [DOI] [PubMed] [Google Scholar]
  • 61.Rivas A, Huelga SF, Plenio MB. Entanglement and non-markovianity of quantum evolutions. Phys. Rev. Lett. 2010;105:050403. doi: 10.1103/PhysRevLett.105.050403. [DOI] [PubMed] [Google Scholar]

Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES