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J. Semicond. > 2014, Volume 35 > Issue 4 > 042001

SEMICONDUCTOR PHYSICS

Correlation between crystallite size-optical gap energy and precursor molarities of ZnO thin films

S. Benramache1, , O. Belahssen1, 2, 3, A. Guettaf4 and A. Arif4

+ Author Affiliations

 Corresponding author: S. Benramache, Email: saidzno2006@gmail.com

DOI: 10.1088/1674-4926/35/4/042001

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Abstract: We investigated the structural and optical properties of ZnO thin films as an n-type semiconductor. The films were deposited at different precursor molarities using an ultrasonic spray method. In this paper we focused our attention on a new approach describing a correlation between the crystallite size and optical gap energy with the precursor molarity of ZnO thin films. The results show that the X-ray diffraction (XRD) spectra revealed a preferred orientation of the crystallites along the c-axis. The maximum value of the crystallite size of the films is 63.99 nm obtained at 0.1 M. The films deposited with 0.1 M show lower absorption within the visible wavelength region. The optical gap energy increased from 3.08 to 3.37 eV with increasing precursor molarity of 0.05 to 0.1 M. The correlation between the structural and optical properties with the precursor molarity suggests that the crystallite size of the films is predominantly influenced by the band gap energy and the precursor molarity. The measurement of the crystallite size by the model proposed is equal to the experimental data. The minimum error value was estimated by Eq. (4) in the higher crystallinity.

Key words: ZnOthin filmscorrelationcrystallite sizeprecursor molarity

Various physical computing devices have been explored in quantum mechanical regime for more than two decades to implement the primitive idea of quantum computation[14], which can be seen as superior to classical computation in exponentially faster executing certain computational tasks and simulating complex quantum systems[57]. The electron spin degree of freedom confined in semiconductor quantum dots (QDs) is one of leading candidates to construct physical quantum bits (qubits) for quantum information processors[814]. The fabrication processes of semiconductor QDs can take advantages of modern semiconductor chip engineering[12, 15, 16]. Remarkably, the processes of large-scale and high-quality quantum dot arrays on silicon are fully compatible to an industry-standard CMOS platform[17, 18]. The quantum dot arrays provide convenient building-blocks to achieve large-scale integration of qubits for universal quantum computation[19]. The precise control of interaction between quantum dots is an essential step in single qubit manipulation, two-qubit gate execution, quantum communication and quantum simulation[15]. The underlying physical mechanism leading to the interaction between quantum dots is the exchange interaction (J) between the confined electron spins in each dot. The exchange interaction, in general, is in short range, strong between confined electrons on the identical dot (intra-dot exchange). The tunnel coupling, however, favors finite exchange interaction taking place in long range between the nearest neighbor dots, and even between remote dots via intermediate dot(s) (inter-dot exchange). The latter is termed as superexchange[20, 21]. We limit our discussion on the inter-dot exchange interaction between the nearest neighbor quantum dots and prefer to refer it simply to exchange interaction if not specifically stated. Coupling more than two quantum dots, in principle, can be achieved by the assistance of the coupling between the nearest neighboring quantum dots. The comprehensive study of the exchange interaction between quantum dots is indispensable to exemplify the electrical method to control the interaction desired in developing the exchange dependent universal quantum computations.

Quantum dots are man-made microstructures and behave in many ways as artificial atoms with reduced energy scales[22, 23]. Therefore, the interactions between quantum dots can be explored using the physical model in study of atom bonding. For two electrons residing in double quantum dots, the method used to study a hydrogen molecule, such as the Heitler−London approach[24, 25] and the Hund−Mulliken approach[26] can help us understand the exchange interactions between the quantum dots. Furthermore, combining Hubbard and constant interaction models, we can develop electrical methods to control J in a realistic device.

The review concentrates on exploring the underlying mechanism of the exchange interaction between the nearest neighbor quantum dots. The physical mechanisms of exchange interaction and practical method to control the exchange interaction are discussed in Section 2. The role of exchange interaction in constructing qubits, realizing two-qubit gates, performing quantum communication and quantum simulation is intensively surveyed in Section 3. Section 4 is the summary of the review.

The exchange interaction had been discovered independently by Heisenberg[27] and Dirac[28] in 1920s. The Pauli exclusion principle states that no two fermions can have the same four electronic quantum numbers[29]. Thus, the principle exerts a strong influence on each other because a fermion occupying a state excludes the others from it[30]. This is equivalent to a strong repulsive force which is the source of exchange interaction between fermions[31]. The repulsion requires that the wave function of indistinguishable fermions is in antisymmetricity, i.e. the wave function changes sign when two fermions are exchanged. The physical effect of the antisymmetric requirement increases the curvature of wavefunctions to prevent the overlap of the states occupied by indistinguishable fermions. As a result, the exchange antisymmetricity increases the expectation value of the distance between two fermions when their wave functions overlap[32].

Electrons with spin half are fermions. The overall wave function of the system composed of electrons must be antisymmetric. This means if the orbital wave function is symmetric, the spin one must be antisymmetric, vice versa[33]. The exchange interaction J is, therefore, the energy difference between the antisymmetric orbital wave function (symmetric spin wave function) and the symmetric orbital wave function (antisymmetric spin wave function) to reflect the Pauli repulsion principle[24], as shown in Fig. 1. In this section, we study the exchange interaction between quantum dots and propose electrical methods to control the exchange interaction.

Fig. 1.  (Color online) The exchange interaction J is the energy difference between the antisymmetric orbital wave function and the symmetric orbital wave function of two electrons.

The Heitler−London (HL) approach was used to describe valence bonding between two atoms and succeeded in explaining the formation of hydrogen molecule[25]. Consequently, the interaction between double quantum dots with one electron in each dot can be approximated by employing the HL approach[34, 35].

The HL approach, applied to double quantum dots, associates the Hamiltonian as follows[34]:

ˆH=2k=1ˆh(rk)+C(r1,r2). (1)

Here, ˆh(rk)=22m2rk+V(rk) is the one-body Hamiltonian of the k-th electron containing kinetic energy and confinement energy in an external potential, C(r1,r2)=e24πε0εr|r1r2| the Coulomb interaction between two electrons located at r1 and r2 separately, e = 1.602 × 1019 C the elementary charge, m = 9.1 × 1031 kg the mass of free electron. In a crystal, we can replace m with the effective mass m as an approximation[36].

For gate-defined double quantum dots in two dimensional electron gas (2DEG) with identical confinement profile, we can simulate the V(r) with a quartic potential, in which two harmonic wells possess identical frequency of ω0 centered at (a,0) and (+a,0), as shown in Fig. 2(a)[37]. The V(r) reads:

Fig. 2.  (Color online) (a) Quartic potential as illustrated in Eq. (2) with ω0=3 meV and a=19 nm. The potential is used to simulate the coupling of two electrons locating in two harmonic wells centered at (a,0) and (a,0). The effective Bohr radius of harmonic well is aB=/mω0. (b) The exchange coupling strength J between two spins as a function of the inter-dot spacing d=a/aB with ω0=3 meV, aB=19 nm and c=2.4 [See Eq. (6)].
V(r)=V(x,y)=mω202[14a2(x2a2)2+y2]. (2)

The (anti)symmetric two-electron orbital state-vector (|ψ) |ψ+ can be generated by combining single-dot ground-state orbital wave-functions as follows:

|ψ=|aˉa|ˉaa2(1Ω2),|ψ+=|aˉa+|ˉaa2(1+Ω2). (3)

Here, |a and |ˉa are the Dirac notations to indicate the electron ground state in the quantum dot centering at (a,0) and (a,0), respectively. |aˉa=|a|ˉa and |ˉaa=|ˉa|a are two-electron product states. Ω=φa(r)φ+a(r)d2r=a|¯a is the overlap integral of two orbital wave functions. φa(r)=r|¯a and φ+a(r)=r|a denote the one-electron ground orbital functions centered at (a,0) and (a,0), respectively. Analogy to harmonic oscillator eigenfunctions, they can be expressed as follows:

φ+a(x,y)=mω0πemω0[(xa)2+y2]/2,φa(x,y)=mω0πemω0[(x+a)2+y2]/2. (4)

The energy difference between two states |ψ and |ψ+ in Eq. (3), which differ only in their symmetry, is referred as the exchange energy and is written as follows:

J=εtεs=ψ|ˆH|ψψ+|ˆH|ψ+. (5)

From Eqs. (1)−(5) of the Heitler–London approach and making use of the Darwin–Fock solution to the isolated dots, we find[38] :

J=ω0sinh(2d2){c[ed2I0(d2)1]+34(1+d2)}. (6)

Here, unitless c=2π[e2/(4πε0εraB)]/2ω0 is the ratio of Coulomb energy to confinement energy, and I0 the zeroth-order Bessel function. If we set the energy of harmonic wells ω0 to be 3 meV, we have aB at 19 nm and c at 2.4. Numerical calculation to Eq. (6) shows that J decays exponentially with increasing inter-dot spacing da/aB, as shown in Fig. 2(b).

The HL approach, however, does not contain any information about the double occupied states[15]. We have to take into account the hybridization between single-occupied state (1, 1) and double-occupied states (2, 0) as well as (0, 2) by extending the Heitler−London approach to the Hund−Mulliken approach[26], where (n1,n2) means that the number of electrons in quantum dot centered at (a,0) and (+a,0), respectively. Herein, we limit ourselves in |S(2,0), |S(0,2), |S(1,1), and |T0(1,1) four elementary states. |S=(|↑↓|↓↑)/2 is the singlet state of two electron spins and T0=(|↑↓+|↓↑)/2 is the triplet state of two electron spins at Sz12=0, where Sz12 is the spin projection of two electron spins in an arbitrary direction (e.g. the direction of external static magnetic field). The state |T0(0,2) is energetically inaccessible due to great intra exchange interaction with the state |S(0,2)[8]. When an external magnetic field is applied, the triplet states of |T+=|↑↑ and |T=|↓↓ at Sz12=±1 are lifted from the state |T0(1,1) and are no longer accessible, too.

Two single-occupied states Ψs+(r1,r2) and Ψs(r1,r2) in either symmetric (+) or antisymmetric (-) forms, and two double-occupied states Ψda(r1,r2) and Ψd+a(r1,r2) at a and +a positions can be constructed in ground states as follows:

{Ψda(r1,r2)=Φa(r1)Φa(r2)S(2,0)Ψd+a(r1,r2)=Φ+a(r1)Φ+a(r2)S(0,2)Ψs+(r1,r2)=[Φ+a(r1)Φa(r2)+Φa(r1)Φ+a(r2)]/2S(1,1)Ψs(r1,r2)=[Φ+a(r1)Φa(r2)Φa(r1)Φ+a(r2)]/2T0(1,1). (7)

Here, Φ+a=(φ+agφa)/12Ωg+g2 and Φa=(φagφ+a)/12Ωg+g2 are orthogonalized single-electron wave functions centered at (+a,0) and (a,0), respectively, and g=(11Ω2)/Ω is a coefficient used to achieve the orthogonalization. Since the symmetricity between orbital and spin wave functions must be opposite, we can write the corresponding spin state respect to the orbital wave function as shown in Eq. (7).

Taking Eq. (7) as the bases, we can express the Hamiltonian of Eq. (1) in a matrix as follows:

ˆH=2ε+(UVx2tH0VxU2tH02tH2tHVinter+Vx0000VinterVx). (8)

The elements of matrix in Eq. (8) are as follows:

ε=Φa|ˆh|Φa=Φa|ˆh|Φa,tH=Φa|ˆh|Φa+W=Φa|ˆh|Φa+W,W=ΦaΦa|C|ΦaΦa=ΦaΦa|C|ΦaΦa,Vinter=ΦaΦa|C|ΦaΦa=ΦaΦa|C|ΦaΦa,Vx=ΦaΦa|C|ΦaΦa=ΦaΦa|C|ΦaΦa,U=ΦaΦa|C|ΦaΦa=ΦaΦa|C|ΦaΦa. (9)

Here, the Coulomb matrix element U is intra-dot Coulomb interaction energy, Vinter inter-dot Coulomb interaction, Vx the exchange energy in the tunnel barrier, and W remaining energy[39].

The exchange energy between two dots can be determined by the energy gap between the singlet and triplet ground states by solving the eigenvalues of the Hamiltonian in Eq. (8), and reaches at:

J=12(U2H+16t2HUH)2Vx, (10)

where UHUVinter is on-site repulsion renormalized by long-range Coulomb interactions[37].

When the two dots are weakly coupled, Vx and W were negligible since they are very small[40]. Though either Vx or W is not small enough compared with J for relatively strong coupled double quantum dots, they robustly stay constant in most of experiments[26]. Therefore, we set Vx and W as zero, and Eq. (10) can be simplified as follows[41]:

J=12(U2+16t2cU), (11)

where

tc=Φa|ˆh|Φa=Φa|ˆh|Φa. (12)

If the double quantum dots are at weak coupling limit, i.e. the Hubbard ratio tc/U1, the Eq. (11) can be further simplified to:

J4t2cU. (13)

In order to control the exchange interaction in a realistic device, we correlate the device parameters with the exchange interaction J using the Hubbard model. Gate-defined double quantum dots can be numerically simulated in a GaAs/AlGaAs heterostructure[42], as shown in Fig. 3(a). By doping the AlGaAs layer with Si atoms, we can introduce free electrons in the quantum well at the interface between AlGaAs and GaAs layers. The electrons accumulate at the GaAs/AlGaAs interface forming a 2DEG, a thin (~10 nm) sheet of electrons that can only move along the interface. A negative potential applied on barrier gates Vb, Vb1, and Vb2 locally depletes the underneath 2DEG to form double quantum dots. By adjusting Vb, we can manipulate the barrier height between neighboring quantum dots to control the coupling strength between the two dots. Gate voltages Vg1 and Vg2 are used to alter the number of electrons residing in left dot 1 and right dot 2, respectively. The total Hamiltonian of the double quantum dots can be expressed by the Hubbard model as follows[43, 44]:

Fig. 3.  (Color online) (a) Double quantum dots in GaAs/AlGaAs heterostructure. (b) Two dimensional stability diagram of double quantum dots. The purple dashed-line is the position where Δε is zero, the yellow dashed-arrow indicates the direction along which Δε increases.
ˆHtot=ˆU(ˆn1,ˆn2)+σ=↑,tc(ˆc1,σˆc2,σ+h.c.), (14)

where the operator ˆc1,σ(ˆc2,σ) charges (discharges) an electron in QD 1(2) with spin σ=↑,. ˆni=σ=↑,ˆci,σˆci,σ=ˆni+ˆni is a number operator of QD i (i = 1, 2), tc a hopping matrix element, known as "tunnel coupling" between two quantum dots[45, 46].

We limit our discussion on no more than two electrons accommodating in the double quantum dots. The total electrostatic energy of the double quantum dots, ˆU(ˆn1,ˆn2), can be expressed as follows[45] :

ˆU(ˆn1,ˆn2)=2i=1[ECi2ˆni(ˆni1)+εiˆni]+ˆn1ˆn2ECm+f(Vg1,Vg2),ε1(Cg1Vg1EC1+Cg2Vg2ECm)/e,ε2(Cg2Vg2EC2+Cg1Vg1ECm)/e,f(Vg1,Vg2)[12C2g1V2g1EC1+12C2g2V2g2EC2+Cg1Vg1Cg2Vg2×ECm]/e2. (15)

Here, ECi is the charging energy of individual single dot i, ECmthe electrostatic coupling energy between the two dots.

Since tc(10 μeV) is significantly smaller than U(n1,n2) (5 meV)[47], the Froehlich−Nakajima transformation (also known as Schrieffer–Wolff transformation) can be used to obtain ˆHeff in (1, 1) charge state subspace[4850] from ˆHtot as follows:

ˆHeff=ˆU(1,1)+J(ˆS1ˆS224)/2, (16)

where ˆSi=2τ=↑,τ=↑,ˆciτˆσττˆciτ is the spin operator of the electron in dot i[51], and ˆσ(ˆσx,ˆσy,ˆσz) is Pauli operator. J is the exchange interaction between two electron spins and can deduced from Eq. (14):

J=4t2c2[U(0,2)U(1,1)][U(2,0)U(1,1)][U(2,0)U(1,1)]+[U(0,2)U(1,1)]. (17)

Based on Eq. (15), we can rewrite Eq. (17) as follows:

J=4t2c2[EC2ΔεECm][EC1+ΔεECm]EC1+EC22ECm, (18)

where Δε=ε2ε1 is a detuning energy and can be manipulated by Vg1 and Vg2[8, 13] as shown in Eq. (15). The detuning direction is illustrated by a yellow-dashed arrow in the two-dimensional stability diagram of double quantum dots, as shown in Fig. 3(b).

The tunnel coupling tc in Eq. (18) is defined in Eq. (12). For the single-occupied two quantum dots, the tunneling coupling tc hybridizes charge states (1, 0) and (0, 1). Taking |Φ+a and |Φa as bases, we can express the Hamiltonian (Eq. (14)) as follows:

ˆH=(ε1tctcε2). (19)

ε1 and ε2, the energy of charge states (1, 0) and (0, 1), can be controlled by gate voltages Vg1 and Vg2, respectively, as shown in Eq. (15). The eigenstates and corresponding eigenenergies[45] of Hamiltonian (Eq. (19)) are shown in Table 1.

Table 1.  The eigenstates and the corresponding eigenenergy of the Hamiltonian (Eq. (19)).
EigenstateEigenenergyDeviation
|ψAεM+(Δε)2/4+t2cΔ=(Δε)2+4t2c
|ψBεM(Δε)2/4+t2c
DownLoad: CSV  | Show Table

The terms in the Table 1 can be expressed as follows:

|ψA=cosθ2|Φa+sinθ2|Φ+a,|ψB=sinθ2|Φa+cosθ2|Φ+a,tanθ=2tc/Δ,εM=(ε1+ε2)/2. (20)

The inter-dot tunnel coupling strength tc hybridizes charge state (0, 1) with (1, 0) around the energy degeneracy point Δε=0, resulting in an avoiding cross with an energy splitting of 2tc, as shown in Fig. 4(a). We can adiabatically transfer an electron from the right quantum dot to the left quantum dot by pushing Δε towards the positive side, as shown in Fig. 3(b). The transition process does not contribute a tunnel current through the device but can be monitored by a proximal charge sensor[52]. When tunnel coupling tc is smaller than the single-electron level spacing of individual dot, the profile of sensor conductance in the transition from (0, 1) to (1, 0) state, vice versa, can be described by a thermal equilibrium two-level model as follows[53, 54]:

Fig. 4.  (Color online) (a) Energy of |ψA and |ψB versus the detuning energy Δε. (b) The electrostatic potential U of quantum dots in Fig. 3(a) along the X-axis at Y ~ 0.08 μm. The barrier height EB between two quantum dots can be manipulated by the barrier gate voltage Vb. (c) The barrier height EB is negatively proportional to the barrier gate voltage Vb. The black straight line is a linear fit.
gs=g0+δgΔεΔtanh(Δ2kBTe), (21)

where gs is the conductance of charge sensor, Te the electron temperature, Δ=(Δε)2+4t2c the half of the energy difference between |ψA and |ψB, and kB the Boltzmann constant. Since Δ can be extracted experimentally according to Eq. (21), tc can be obtained subsequently.

Since the confined electrons of quantum dots locate at the interface between GaAs and AlGaAs (Fig. 3(a)) and the transport of electrons is primarily along the X-axis, the potential energy profile along the X-axis at Y ~ 0.08 μm can be used to describe the two quantum dots, as shown in Fig. 4(b). The approximation can help us to simplify the calculation cost of the coupling strength. The barrier height EB between two quantum dots can be generated and manipulated by the barrier gate voltage Vb, as shown in Fig. 4(c). With the help of simplified one-dimensional model, as shown in Fig. 5(a), we can further explore the quantitative relationship between tc and barrier height EB. The tunnel coupling tc mixes the wave functions of two quantum dots |Φ+a and |Φa to form a bonding state |ψB and an antibonding state |ψA, as shown in Table 1 and Eq. (20). By solving single-electron stationary Schrodinger equation in appendix A, we can deduce the tunnel coupling strength tc from the energy difference between |ψB and |ψA, as follows:

Fig. 5.  (Color online) (a) Infinitely deep double-well model. a is the width of the well, L the width of the barrier between two wells, and EB the barrier height between two wells. For simplicity, the potential out of the double wells is set infinitely high due to Coulomb blockade effect. (b) The tunnel coupling tc as a function of barrier height EB. The data points are calculated based on the device shown in Fig. 3(a). The curve is a fit to Eq. (22).
tc=4eq0Laq0E(0)n, (22)

where E(0)nπ222ma2 and q02m(EBE(0)n)2.

Eq. (18) provides two independent electrical approaches to manipulate the exchange interaction in experiments as described in the following.

1. The tunnel coupling strength tc via the barrier gate voltage applied between two neighboring quantum dots. The exponential relationship between tunnel coupling strength tc and barrier height EB can be inspired from Eq. (22). Moreover, the simulation shows that EB is linearly proportional to the barrier gate voltage Vb, as shown in Fig. 4(c). Combining with Eq. (18), the facts implies that the exchange interaction J is primarily an exponential function of Vb, as shown in Fig. 6(a).

Fig. 6.  (a) The exchange energy J as a function of the barrier gate voltage Vb as described in Eqs. (18) and (22). (b) The exchange energy J as a function of detuning energy Δε as described in Eq. (18).

2. The detuning energy Δε via the plunge gate voltage applied on each quantum dot. Two plunge gate voltages can be adjusted to control the detuning energy Δε, hence to manipulate the exchange interaction J according to Eq. (18). The exchange interaction J is shown as a function of the detuning energy Δε in Fig. 6(b).

Manipulating the gate voltages Vg1 and Vg2 also slightly alternates the barrier height EB by crosstalk effects. Equivalently, Vb makes the crosstalk to the potential of double quantum dots, so that the linear relationship between EB and Vb is accordingly masked. The crosstalk is routinely and efficiently compensated using virtual gates, which are specific linear combinations of physical gate voltages according to mutual capacitance matrix[55, 56]. The virtual gate can also help to make a sole change of the exchange interaction between target pair quantum dots without affecting the exchange interaction of other pair quantum dots. Several other methods have been formulated to explore the exchange interaction between quantum dots such as Hartree−Fock[57] and full interaction methods[58]. Magnetic fields and spin−orbit coupling also influence the exchange interaction, and can be found in details elsewhere[5963].

Electrons in multiple quantum dots can be in any available quantum states out of ground states. We routinely choose two lowest energy quantum states as the computational bases to define |0 and |1 states. An effective Hamiltonian of the two-level system can be obtained from the exact Hamiltonian by Schrieffer−Wolff (SW) unitary transformation which decouples the computational basis and the high-energy subspaces[50]. In 1998, Loss and DiVincenzo proposed a scheme to construct a physical qubit using the single spin state of electron in one single semiconductor quantum dot, known as Loss−Divincenzo (LD) qubit[64]. A focused local oscillating magnetic fields[65], however, is required in nanometer-scale devices to manipulate spin states and the power dissipation due to the generation of magnetic field is not compatible with cryogenic environments. One can use a high frequency electric field to control spin states with the assistance of either spin−orbit coupling effect or static slanting field of micromagnet to mitigate the technique challenges[66, 67]. Alternatively, the spin qubit can be realized in a quantum decoherence-free subspace[15] of spin states in multiple quantum dots, such as S−T0 qubit[68] and exchange-only qubit[69]. Since multiple coupled quantum dots are involved in the schemes, the exchange interaction between neighboring dots is indispensable to achieve the construction and the manipulation of quantum states.

One of the straightforward extensions of LD qubit is the S−T0 qubit constructed from double quantum dots with charge state (1, 1). The apparent advantage to use S−T0 qubit is the immunity to the global magnetic fluctuations[15]. The construction and operation of S−T0 qubit requires the exchange interaction and a magnetic field gradient across the quantum dots, as shown in Fig. 7(a). The Hamiltonian of the two-spin system is as follows:

Fig. 7.  (Color online) (a) The construction of S−T0 qubit. The exchange interaction J between quantum dots, and a magnetic field gradient ΔB is required to build a S−T0 qubit with double quantum dots. (b) States with two electron spins. The states with color mapping of orange and cyan color are the computational states of S−T0 qubit. The gray color mapped states are the leakage states. (c) Two states of |S and |T0 form a two-level subspace. (d) Exchange coupling J and a longitudinal magnetic-field gradient ΔB provide two orthogonal manipulation axes for S−T0 qubit operation.
ˆHST0=ˆH1ST0+ˆH2ST0=12μB1σ1z+12μB2σ2z+14J(σ1σ21), (23)
ˆH1ST012μB1σ1z+12μB2σ2z, (24)
ˆH2ST014J(σ1σ21). (25)

Here, μ=gμB is the magnetic moment of the electron in quantum dot, g the effective g-factor which is related to spin−orbit interaction[70, 71] and keeps positive as an example, B1(B2) the magnetic field strength in the quantum dot 1(2), J the exchange interaction between electron spins in dots 1 and 2, σ1(σ2) the Pauli operator of quantum dot 1(2), and σ1z (σ2z) the electron spin Pauli-Z operator of quantum dot 1(2). The eigenstates and corresponding eigenenergies of the Hamiltonians ˆH1ST0 and ˆH2ST0 are shown in Table 2.

Table 2.  The eigenstates and corresponding eigenenergies of Hamiltonians ˆH1ST0 and ˆH2ST0 with ΔBB2B1.
HamiltonianEigenstateEigenenergy
ˆH1ST0|↑↓μΔB/2
|↓↑μΔB/2
|↑↑μ(B1+B2)/2
|↓↓μ(B1+B2)/2
ˆH2ST0|SJ
|T00
|↑↑0
|↓↓0
DownLoad: CSV  | Show Table

The state subspaces used to define S−T0 qubit and leakage states are shown in Fig. 7(b), where Sz12 is the spin projection of two electron spins in the direction of external static magnetic field and S12 is the total spin quantum number. When there is no magnetic field gradient (the Hamiltonian reduced to ˆH2ST0), the energy-gap J protected two states |S and |T0 form a two-level system and encode |0 and |1, respectively, known as S−T0 qubit, as shown in Fig. 7(c). The applied magnetic field B1 and B2 separate the leakage states |↑↑ and |↓↓ from the computational state |T0 to avoid quantum information leakage, as shown in Figs 7(b) and 7(c). We can use energy-selective initialization[72] to prepare the two electrons in |S state for further quantum computation.

The |S and |T0 states can be set as the north and the south poles of the Bloch sphere, respectively. The quantum states |↑↓ and |↓↑ are thus indicated on the equatorial plane of the Bloch sphere, as shown in Fig. 7(d). For an arbitrary initial state of the system |ψ=a|↑↓+b|↓↑=c|S+d|T0 (a, b, c, and d are complex numbers and constrained by |a|2+|b|2=1 and |c|2+|d|2=1), the final state reaches at |ψ=(aeiμΔBt/|↑↓+b|↓↑)/2 after time t under the magnetic field gradient ΔB (the global phase eiμΔBt/2 is ignored). The evolution equals to the state-vector rotation around the Y-axis with precession frequency μΔB/h on the Bloch sphere. On the other hand, the final state reaches at |ψ=(ceiJt/|S+d|T0)/2 after time t under the exchange interaction J. The evolution equals to the state-vector rotation around the Z-axis with precession frequency J/h on the Bloch sphere. Consequently, the exchange interaction and the magnetic field gradient provide two independent manipulation axes for the S−T0 qubit operation. Universal single qubit operations can be achieved by implementing arbitrary rotation of state vector around Y and Z axes[73] , as shown in Fig. 7(d).

As for a measurement, we can project the charge state (1, 1) to (0, 2). The singlet state S(1,1) can transit to S(0,2) accompany with one electron spin-conservation tunneling from left to right dot. The triplet state T0(1,1) fails in the transition either to energetically accessible S(0,2) state because of spin conservation or to energetically inaccessible T0(0,2) state so that the transfer of electron is forbidden[74, 75]. The event of electron transfer can be monitored by a proximal charge sensor[54]. Accordingly, the final state can be distinguished in either |S or |T0 state.

The LD qubit requires a statistic magnetic field and a high frequency alternating electro-magnetic field as independent manipulation axes. On the other hand, the S−T0 qubit requires a large magnetic field gradient, which cannot be turned on/off on demand. The implementation of micromagnet and focused alternating electro-magnetic field in quantum chips is also technically challenging[17]. Exchange-only qubit constructed by the spins of three electrons, alternatively, demonstrates feasibility to achieve universal quantum computation only using the full-electrical exchange interaction between neighboring dots to mitigate the challenges[69, 76, 77, 78].

Fig. 8(a) shows three-electron spin system, where J12 (J23) is the exchange interaction between neighboring quantum dots 1(2) and 2(3). The Hamiltonian of the three-spin system is shown as follows:

Fig. 8.  (Color online) (a) The construction of exchange-only qubit. Only the exchange interaction J12 and J23 between quantum dots are required to build the exchange-only qubit with linearly coupled triple quantum dots. (b) States with three electron spins. The states with color mapping of orange and cyan color are the computational states of exchange-only qubit. The gray color mapped states are the leakage states. (c) Two states of |D and |D form a two-level subspace. |D is the mixture of |D+1/2 and |D1/2, |D is the mixture of |D+1/2 and |D1/2. (d) The exchange coupling parameters of J12 and J23 provide two independent manipulation axes of the exchange-only qubit manipulation.
ˆHEO=ˆH1EO+ˆH2EO=14J12(σ1σ21)+14J23(σ2σ31), (26)
ˆH1EO14J12(σ1σ21), (27)
ˆH2EO14J23(σ2σ31). (28)

The eigenstates and corresponding eigenenergies of the Hamiltonians ˆH1EO and ˆH2EO are shown in Table 3.

Where

Table 3.  The eigenstates and corresponding eigenenergies of Hamiltonian ˆH1EO and ˆH2EO[41].
Hamiltonian Eigenstate Eigenenergy
ˆH1EO |Q+3/2 0
|Q+1/2 0
|Q1/2 0
|Q3/2 0
|ˉD+1/2 0
|ˉD1/2 0
|ˉD+1/2 J12
|ˉD1/2 J12
ˆH2EO |Q+3/2 0
|Q+1/2 0
|Q1/2 0
|Q3/2 0
|D+1/2 0
|D1/2 0
|D+1/2 J23
|D1/2 J23
DownLoad: CSV  | Show Table
|D+1/2=(||T02||T+)/3=(|↑↑↓+|↑↓↑2|↓↑↑)/6,|D1/2=(||T02||T)/3=(|↓↓↑+|↓↑↓2|↑↓↓)/6,|D+1/2=||S=(|↑↑↓|↑↓↑)/2,|D1/2=||S=(|↓↓↑|↓↑↓)/2. (29)
|ˉD+1/2=(|T0|2|T+|)/3=(|↓↑↑+|↑↓↑2|↑↑↓)/6,|ˉD1/2=(|T0|2|T|)/3=(|↑↓↓+|↓↑↓2|↓↓↑)/6,|ˉD+1/2=|S|=(|↑↓↑|↓↑↑)/2,|ˉD1/2=|S|=(|↓↑↓|↑↓↓)/2. (30)

And

|Q+3/2=|↑↑↑,|Q+1/2=(|↑↑↓+|↑↓↑+|↓↑↑)/3,|Q1/2=(|↓↓↑+|↓↑↓+|↑↓↓)/3,|Q3/2=|↓↓↓. (31)

The state subspaces of the three electron spins used to define exchange-only qubit and the leakage states are shown in Fig. 8(b), where Sz123 is the spin projection of three electron spins in an arbitrary direction, S23 the total spin of the electrons confined in the rightmost two quantum dots, S123 the total spin quantum number. At the limit of J12/J230 (the Hamiltonian reduced to ˆH2EO), the exchange interaction J23 provides an energy spacing between |D and |D as shown in Fig. 8(c) and Table 3, where |D is the mixture of |D+1/2 and |D1/2, and |D is the mixture of |D+1/2 and |D1/2[69, 77]. The two states of |D and |D form a two-level system can be defined as |0 and |1, respectively, known as exchange-only qubit. We can first use energy-selective initialization to prepare the last two electrons in a spin singlet state, which lets S23=0. As the spin state of the first electron remains random, the three-electron system is initialized in |D which gives S123=1/2. The exchange interactions J12 and J23 keep the quantum number S123 unchanged and allow the computational states within the S123=1/2 subspace[77].

We choose |D and |D as the north and the south poles of Bloch sphere. The eigenstates |ˉD and |ˉD of ˆH1EO are also indicated on the Bloch sphere, where |ˉD is the mixture of |ˉD+1/2 and |ˉD1/2, and |ˉD is the mixture of |ˉD+1/2 and |ˉD1/2, as shown in Fig. 8(c). According to Eqs. (29) and (30), the angle between the state vector of |D and the state vector of |ˉD is 120°, as shown in Fig. 8(d).

Referring to the S−T0 qubit, we can rotate the state vector separately around the blue-color axis with the precession frequency of {J_{12}}/h, and around the red-color axis with the precession frequency of {J_{23}}/h, as shown in Fig. 8(d). This implies that we can achieve arbitrary single qubit operations by implementing the rotations of Bloch vector around the two axes. Therefore, the two independent exchange interactions between neighboring quantum dots are sufficient to achieve universal single qubit operations[13, 15].

Like that of S−T0 qubit, the readout of exchange-only qubit relies on Pauli spin blockade of two neighboring dots. The right most two spins form either the singlet state out of \left| {D'} \right\rangle state or the triplet state out of the \left| D \right\rangle state, as shown in Fig. 9. We can project the triple-quantum-dot state from charge state (1, 1, 1) to (1, 0, 2) after qubit manipulations. The detection of either singlet or triplet state from a proximal charge sensor reveals the final state of either \left| {D'} \right\rangle or \left| D \right\rangle state, respectively[41].

Fig. 9.  (Color online) The spin configuration of \left| {D'} \right\rangle and \left| D \right\rangle . {S_1} is the spin quantum number of electron in the first quantum dot. {S_{23}} is the total spin quantum number of two electrons, which makes the second and the third quantum dot singly occupied.

The crucial challenge of exchange-only qubit is to keep the leakage states out of the computational states because the hyperfine interactions from residual nuclear spins fluctuate the total spin and leak the qubit information into {S_{123}} = 3/2 states[77]. An external magnetic field B can be applied additionally to circumvent the leakage to the quantum states \left| {{Q_{ \pm 3/2}}} \right\rangle [78, 79].

The most important application of exchange interaction is the implementation of quantum gate operations between quantum dot qubits[80, 81]. In this section, we take SWAP gate[72, 82] and CNOT gate[83, 84] for examples to explore the role of exchange interaction in achieving two-qubit logical gates.

The SWAP gate is subject to exchange the quantum states of two qubits[85] and illustrated in a quantum circuit, as shown in Fig. 10(a). \left| a \right\rangle and \left| b \right\rangle refer to arbitrary quantum states. For LD qubits, we can set spin up as \left| 1 \right\rangle and spin down as \left| 0 \right\rangle . The SWAP gate on two LD qubits can be achieved by manipulating the exchange interaction between them[86]. Taking the schematic diagram of two quantum dots in Fig. 10(b) for an example, we can write the Hamiltonian of the system when the exchange interaction J is on as follows:

Fig. 10.  (Color online) (a) The quantum circuit of SWAP gate. (b) Double quantum dots with one single electron in each dot. {{\boldsymbol{S}}_{1}}({{\boldsymbol{S}}_{2}}) is the spin of electron in left (right) quantum dot. The exchange interaction J is required to obtain the SWAP gate in specific duration.
{\hat H_{{\text{SWAP}}}} = J(t)\left( {{{{\boldsymbol{\hat S}}}_1} \cdot {{{\boldsymbol{\hat S}}}_2} - \frac{{{\hbar ^2}}}{4}} \right)/{\hbar ^2}. (32)

The state subspace required for achieving the SWAP gate is shown in Table 4.

Table 4.  The eigenstates and corresponding eigenenergies of Hamiltonian {\hat H_{{\text{SWAP}}}}.
HamiltonianEigenstateEigenenergy
{\hat H_{{\text{SWAP}}}} \left| S \right\rangle - J
\left| {{T_0}} \right\rangle 0
\left| { \uparrow \uparrow } \right\rangle 0
\left| { \downarrow \downarrow } \right\rangle 0
DownLoad: CSV  | Show Table

The initial state of the system, setting at \left| { \uparrow \downarrow } \right\rangle =( \left| S \right\rangle + \left| {{T_0}} \right\rangle )/\sqrt 2 state, as shown in the upper panel of Fig. 10(b) evolves into \left( {{e^{i\int_0^t {J(t')\rm{d}t'} /\hbar }}\left| S \right\rangle + \left| {{T_0}} \right\rangle } \right)/\sqrt 2 after time t. If t satisfies \int_0^t {J(t')\rm{d}t'} /\hbar = \pi ,3\pi ,5\pi ... , the \left| { \downarrow \uparrow } \right\rangle = \left( {\left| {{T_0}} \right\rangle - \left| S \right\rangle } \right)/\sqrt 2 state succeed after the spin SWAP gate, as shown in the bottom panel of Fig. 10(b). \left| { \uparrow \uparrow } \right\rangle and \left| { \downarrow \downarrow } \right\rangle are eigenstates of {\hat H_{{\text{SWAP}}}} , so the swap of these states is trivial.

There is no requirement of magnetic field in the SWAP gate operation. The presence of magnetic field gradient (such as nuclear spin field gradient), on the contrary, compromises the fidelity of the SWAP gate. Therefore, Ⅳ-group material platforms could favor a higher-fidelity SWAP gate operation due to the naturally less nonzero nuclear spins[82].

The quantum circuit representation of CNOT gate is shown in Fig. 11(a), in which qubit 1 with state \left| a \right\rangle acts as control bit and qubit 2 with state \left| b \right\rangle acts as target bit. The target qubit sustains if the control qubit is set to \left| 0 \right\rangle , whereas the target bit is flipped. The gate action is, thus, expressed as \left| {a,b} \right\rangle \to \left| {a,b \oplus a} \right\rangle in formal logic[85]. Similar to the definition in 3.2.1, we can set spin up as \left| 1 \right\rangle and spin down as \left| 0 \right\rangle .

Fig. 11.  (Color online) (a) The quantum circuit of CNOT gate. (b) Double quantum dots with one single electron in each dot. {{\boldsymbol{S}}_1}({{\boldsymbol{S}}_2}) is the spin of electron in left (right) quantum dot. The exchange interaction J between two quantum dots, and a magnetic field gradient \Delta {\boldsymbol{B}} are required to achieve the CNOT gate operation. (c) Schematic energy level diagram adopted from Table 5. (d) The spin of electron in the left quantum dot is flipped with absorbing a photo from an alternating magnetic field at frequency of f_{\left| {{\psi _{\text{R}}}} \right\rangle = \left| \uparrow \right\rangle }^{\text{L}} when the spin of electron in the right quantum dot is \left| \uparrow \right\rangle .

In addition to the exchange interaction, a magnetic field gradient is required to implement the CNOT gate operation in the double quantum dots, as shown in Fig. 11(b). The Hamiltonian of the double dots is close to {\hat H_{{\text{S}} - {{\text{T}}_{\text{0}}}}} and can be expressed as follows:

{\hat H_{{\text{CNOT}}}} = \mu {B_1}S_{\text{z}}^{\text{1}}/\hbar + \mu {B_2}S_{\text{z}}^{\text{2}}/\hbar + J\left( {{{{\boldsymbol{\hat S}}}_1} \cdot {{{\boldsymbol{\hat S}}}_2} - \frac{{{\hbar ^2}}}{4}} \right)/{\hbar ^2}. (33)

{{\boldsymbol{\hat S}}_1}({{\boldsymbol{\hat S}}_2}) is the spin operator of electron spin in quantum dot 1(2). S_{\text{z}}^{\text{1}} ( S_{\text{z}}^{\text{2}} ) is the Z-axis component of electron spin operator in quantum dot 1(2).

The state subspace required to achieve CNOT gate is shown in Table 5.

Table 5.  The eigenstates and corresponding eigenenergies of the Hamiltonian {\hat H_{{\text{CNOT}}}}.
HamiltonianEigenstateEigenenergy
{\hat H_{{\text{CNOT}}}} \left| { \uparrow \uparrow } \right\rangle \mu ({B_1} + {B_2})/2
\left| { \Downarrow \Uparrow } \right\rangle \left[ { - J + \sqrt {{J^2} + {{\left( {g\Delta B\mu } \right)}^2}} } \right]/2
\left| { \Uparrow \Downarrow } \right\rangle \left[ { - J - \sqrt {{J^2} + {{\left( {g\Delta B\mu } \right)}^2}} } \right]/2
\left| { \downarrow \downarrow } \right\rangle - \mu ({B_1} + {B_2})/2
DownLoad: CSV  | Show Table

The presence of exchange interaction makes a hybridization between \left| { \downarrow \uparrow } \right\rangle and \left| { \uparrow \downarrow } \right\rangle to generate \left| { \Downarrow \Uparrow } \right\rangle and \left| { \Uparrow \Downarrow } \right\rangle states as the eigenstates. The hybridization states \left| { \Downarrow \Uparrow } \right\rangle and \left| { \Uparrow \Downarrow } \right\rangle collapse to \left| { \downarrow \uparrow } \right\rangle and \left| { \uparrow \downarrow } \right\rangle , respectively, at the \Delta B\gg J limit[83].

The energy diagram of CNOT gate subspace is shown in Fig. 11(c), where hf_{\left| {{\psi _{\text{R}}}} \right\rangle = \left| \uparrow \right\rangle }^{\;\text{L}} is energy difference between spin states \left| \uparrow \right\rangle and \left| \downarrow \right\rangle in the left dot with the right spin at state \left| \uparrow \right\rangle . So as to hf_{\left| {{\psi _{\text{R}}}} \right\rangle = \left| \downarrow \right\rangle }^{\;\text{L}} , hf_{\left| {{\psi _{\text{L}}}} \right\rangle = \left| \uparrow \right\rangle }^{\;\text{R}} , and hf_{\left| {{\psi _{\text{L}}}} \right\rangle = \left| \downarrow \right\rangle }^{\;\text{R}} . The shift of single electron resonance frequency relies on another state and precisely matches the exchange splitting as follows:

hf_{\left| {{\psi _{\text{R}}}} \right\rangle = \left| \uparrow \right\rangle }^{\text{L}} - hf_{\left| {{\psi _{\text{R}}}} \right\rangle = \left| \downarrow \right\rangle }^{\text{L}} = hf_{\left| {{\psi _{\text{L}}}} \right\rangle = \left| \uparrow \right\rangle }^{\text{R}} - hf_{\left| {{\psi _{\text{L}}}} \right\rangle = \left| \downarrow \right\rangle }^{\text{R}} = J. (34)

The spin of right quantum dot is set as the control bit and the spin of left quantum dot as the target bit. The electron spin of left quantum dot is flipped by an alternating magnetic field of frequency f_{\left| {{\psi _{\text{R}}}} \right\rangle = \left| \uparrow \right\rangle }^{\text{L}} when the electron spin of right quantum dot is \left| \uparrow \right\rangle , as shown in Fig. 11(d). The electron spin of left quantum dot perseveres without absorbing a photo from the alternating magnetic field of frequency f_{\left| {{\psi _{\text{R}}}} \right\rangle = \left| \uparrow \right\rangle }^{\text{L}} if the electron spin of right quantum dot is \left| \downarrow \right\rangle . The CNOT gate based on two LD qubits is, thus, implemented[83].

Quantum state transmission is a crucial technique for quantum computation and quantum communication[87]. The tunable tunnel barrier is capable of adjusting the exchange interaction between semiconductor quantum dots, allowing an adiabatic spin transport protocol known as spin-coherent transport through adiabatic passage (spin-CTAP)[88, 89], as shown in Fig. 12(a). Qubit 1 is initially isolated and prepared in an arbitrary quantum state, whereas qubits 2 and 3 are coupled and prepared in a singlet state (indicated in dotted square). The exchange interaction between qubits 1 and 2 (2 and 3) is then turned on (off) adiabatically. The quantum state of qubit 1 is transmitted to qubit 3 when the evolution is complete. Spin states can be transferred between distant dots by adiabatic modulation without motion of the electrons, known as adiabatic quantum teleportation, too[90].

Fig. 12.  (Color online) (a) Spin-coherent transport through adiabatic passage. (b) Long-range coupler of spins to transfer an arbitrary spin from the left most Alice to the right most Bob[91]. (c) A representation of triple quantum dots for simulation of interaction-driven Mott metal−insulator transition. (d) Energy spectrum of low spin state and ferromagnetic state as a function of tunnel coupling strength, where S is the total spin number of the three electrons.

An effective long-range exchange coupling can be established between distant spins (also known as super-exchange). In 2003, Bose proposed a spin chain as a long-range coupler of spins, known as the spin bus[91], which was developed later by Friesen et al.[92]. This scheme involves intermediate quantum dot chains as the medium (multi-QD mediator)[21] to transfer electron spins from the sender "Alice" to the receiver "Bob", as shown in Fig. 12(b). The transfer of electron spin states has been implemented in quadruple dot system in GaAs in recent works[93, 94].

Although large-scale quantum computation takes long way to succeed[95], analog quantum simulations have great chance to be performed based on finite number of spin qubits[14, 15]. One outstanding feature of gate defined quantum dot system is that the tunnel barriers can be tuned precisely, allowing analysis of the system characteristics at wide range of coupling strengths. This feature can be used to explore Fermi−Hubbard model[96, 97]. The tunnel coupling between semiconductor quantum dots can be enhanced to favor a larger quantum dot behaving like a small metallic island. This is the finite-size analogue of the interaction-driven Mott metal−insulator transition[98, 99], as shown in Fig. 12(c). The currently available systems present more interesting possibilities. One instance is the simulation of Nagaoka ferromagnets[100] in looped quadruple quantum dots[101]. The simulation requires precise control of tunnel coupling between neighboring quantum dots to change the energy of ferromagnetic state with respect to the low spin state. When the tunnel coupling is much smaller than the Coulomb repulsion, the experiment has demonstrated the emergence of ferromagnetic state with three electron spins in the looped quadruple quantum dots, as shown in Fig. 12(d). The experiment, thus, verified Nagaoka's 50-year-old theory.

The ultracold atom system, a counterpart to semiconductor quantum dot system, relies on the exchange interaction and has achieved more remarkable achievements in quantum simulation[102]. For example, disorder-induced localization (Anderson localization) of matter waves[103] and Mott-insulator phase of the Bose−Hubbard model[104] have been simulated in one-dimensional ultracold atom systems. In two-dimensional ultracold atom array, quantum Monte Carlo simulation has also been preliminarily realized[105]. These achievements owe much to the precise manipulation of the interactions between ultracold atoms. With the scaling-up of the quantum dot array and the improvement of electrical control methods in the exchange interactions between dots, such exotic quantum simulations could also be implemented in a quantum dot array.

The exchange interaction between semiconductor quantum dots plays an important role in implementing single qubit manipulations, two-qubit gate operations, quantum communication and quantum simulations. The review have explored the physical principle of exchange interaction between semiconductor quantum dots based on Heitler−London and Hund−Mulliken approaches. The electrical control method of exchange interaction is then proposed based on Hubbard and constant interaction models. The role of exchange interaction in construction of semiconductor quantum dot based spin qubits and in implementation of two-qubit gate operations is intensively surveyed. The electrical control of exchange interaction is at the heart of succeeding more complex quantum simulations and large-scale quantum computations.

Thanks to Ms. Yujiao Ma of Peking University for her fruitful discussion and technical support to the manuscript preparation. This research was funded by National Natural Science Foundation of China, (Grant Nos. 11974030 and 92165208). We fabricated the devices with the assistance of Peking Nanofab.

Supplementary materials to this article can be found online at https://doi.org/10.1088/1674-4926/24050043.



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Fig. 1.  X-ray diffraction spectra of ZnO thin films as a function of spray concentration.

Fig. 2.  Absorbance spectra of ZnO thin films at various precursor molarities[11].

Fig. 3.  Variation of gap energy and crystallite size of ZnO thin films with the precursor molarity.

Fig. 4.  The experiment crystallite size and correlates of ZnO thin films as a function of the precursor molarity.

Table 1.   The experimental crystallite size G and correlations of ZnO thin films were measured as a function of precursor molarity and relative error variation of crystallite size.

[1]
Benramache S, Rahal A, Benhaoua B. The effects of solvent nature on spray-deposited ZnO thin film prepared from Zn (CH3COO)2·2H2O. Optik, 2014, 125(2):663 doi: 10.1016/j.ijleo.2013.07.085
[2]
Benzarouk H, Drici A, Mekhnache M, et al. Effect of different dopant elements (Al, Mg and Ni) onmicrostructural, optical and electrochemical properties of ZnO thin films deposited by spray pyrolysis (SP). Superlattices and Microstructures, 2012, 52(3):594 doi: 10.1016/j.spmi.2012.06.007
[3]
Benramache S, Arif A, Belahssen O, et al. Study on the correlation between crystallite size and optical gap energy of doped ZnO thin film. Journal of Nanostructure in Chemistry, 2013, 3(80):1 doi: 10.1186/2193-8865-3-80?view=classic
[4]
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    Zheng Zhou, Yixin Li, Zhiyuan Wu, Xinping Ma, Shichang Fan, Shaoyun Huang. The exchange interaction between neighboring quantum dots: physics and applications in quantum information processing[J]. Journal of Semiconductors, 2024, 45(10): 101701. doi: 10.1088/1674-4926/24050043
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    Received: 14 October 2013 Revised: 24 November 2013 Online: Published: 01 April 2014

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      S. Benramache, O. Belahssen, A. Guettaf, A. Arif. Correlation between crystallite size-optical gap energy and precursor molarities of ZnO thin films[J]. Journal of Semiconductors, 2014, 35(4): 042001. doi: 10.1088/1674-4926/35/4/042001 ****S. Benramache, O. Belahssen, A. Guettaf, A. Arif. Correlation between crystallite size-optical gap energy and precursor molarities of ZnO thin films[J]. J. Semicond., 2014, 35(4): 042001. doi: 10.1088/1674-4926/35/4/042001.
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      S. Benramache, O. Belahssen, A. Guettaf, A. Arif. Correlation between crystallite size-optical gap energy and precursor molarities of ZnO thin films[J]. Journal of Semiconductors, 2014, 35(4): 042001. doi: 10.1088/1674-4926/35/4/042001 ****
      S. Benramache, O. Belahssen, A. Guettaf, A. Arif. Correlation between crystallite size-optical gap energy and precursor molarities of ZnO thin films[J]. J. Semicond., 2014, 35(4): 042001. doi: 10.1088/1674-4926/35/4/042001.

      Correlation between crystallite size-optical gap energy and precursor molarities of ZnO thin films

      DOI: 10.1088/1674-4926/35/4/042001
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      • Corresponding author: S. Benramache, Email: saidzno2006@gmail.com
      • Received Date: 2013-10-14
      • Revised Date: 2013-11-24
      • Published Date: 2014-04-01

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