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Quantum spin transistor with a Heisenberg spin chain


Spin chains are paradigmatic systems for the studies of quantum phases and phase transitions, and for quantum information applications, including quantum computation and short-distance quantum communication. Here we propose and analyse a scheme for conditional state transfer in a Heisenberg XXZ spin chain which realizes a quantum spin transistor. In our scheme, the absence or presence of a control spin excitation in the central gate part of the spin chain results in either perfect transfer of an arbitrary state of a target spin between the weakly coupled input and output ports, or its complete blockade at the input port. We also discuss a possible proof-of-concept realization of the corresponding spin chain with a one-dimensional ensemble of cold atoms with strong contact interactions. Our scheme is generally applicable to various implementations of tunable spin chains, and it paves the way for the realization of integrated quantum logic elements.


Starting with the original proposal by Datta and Das1 for a spin-based field-effect transistor, the field of spintronics2 has explored how the spin degrees of freedom can be used for information transfer. More than two decades later, this research has reached the quantum regime3. One motivation for this is the desire for miniaturization which led to the realization of single-electron transistors4, or more generally single-dopant devices5. A second motivation is the potential applications in quantum information and computation. Two guiding proposals in the field involve implementation of quantum gate operations in quantum dots6 and in doped silicon7. Shortly thereafter, molecular magnets have also been proposed8. It was subsequently shown that universal quantum computation can be realized with Heisenberg exchange interaction, known from quantum magnetism, alone9,10.

Here we put forward a scheme for a quantum spin transistor that may serve as an integral component of quantum information devices. Similarly to the quantum computation proposals, it can be implemented with architectures that realize a Heisenberg spin chain. Various physical realizations of spin chains are being actively explored for short-range quantum state transfer required to integrate and scale-up quantum registers involving many qubits11,12,13,14,15. In fact, spin chains of the Heisenberg type have been realized in organic and molecular magnets16, quantum dots17, various compounds16,18,19, Josephson junction arrays20, trapped ions21,22, in atomic chains on surfaces23,24,25,26,27 and in thin films or narrow magnetic strips that carry spin waves28,29. Combined with conditional dynamics implementing quantum logic gates, spin chains can greatly facilitate large-scale quantum information processing. While many different implementations of the coherent spin transistor may be possible, here we focus on one such proof-of-concept realization with a small ensemble of strongly interacting cold atoms trapped in a tight one-dimensional potential of appropriate shape. Cold atoms have already been used to realize spin chains, and observations of Heisenberg exchange dynamics30, spin impurity dynamics31 and magnon bound states32 have been reported.


Coherent spin transistor

Our quantum spin transistor works with an arbitrary spin state at the input port (target spin) which is coherently transferred to the output port, if there are no excited spins in the gate, . However, if the gate contains an excited stationary spin (control spin), , it completely blocks the transfer of the target spin state between the input and output ports. In other words, we have coherent dynamics for the initial state of the system when the gate contains no spin excitation, but complete absence of dynamics for the state when the gate contains a single spin excitation. Our scheme thus realizes a quantum logic operation and it can be used to obtain spatially entangled states of target and control spins, as well as to create Schrödinger cat states for a large number of target spins.

The functionality of the proposed transistor relies on the ability to tune the energy levels of the gate such that one of its states is resonant with the input and output states, resulting in coherent excitation transfer, while the other state of the gate is non-resonant and is used to block the transfer. A system that offers sufficient flexibility to realize this level of control is the Heisenberg XXZ spin- chain in a longitudinal magnetic field. We thus consider a chain of N spin- particles described by the XXZ model Hamiltonian (ħ=1)

where are the Pauli matrices acting on the jth spin, hj determine the energy shifts of the spin-up and spin-down states playing the role of the local magnetic field, Jj are the nearest-neighbour spin–spin interactions, and Δ is the asymmetry parameter: Δ=0 corresponds to the purely spin-exchange XX model, Δ=1 to the homogeneous spin–spin interaction XXX model, while the limit of |Δ|>>1 leads to the Ising model. We assume a spatially symmetric spin chain with Jj=JNj and hj=hN+1−j with h1,N=0. Note that we do not specify the sign of Jj, which, therefore, can be positive or negative.

The input and output ports for the target spin are represented by the first j=1 and last j=N sites of the chain, see Fig. 1a. The inner sites j=2,…, N−1 constitute the gate which may be open (Fig. 1b) or closed (Fig. 1c) for the target spin transfer depending on the absence, , or presence, , of a single control spin excitation. One might think that the shortest possible spin chain to accommodate a gate between the input and output ports would consist of just N=3 spins. As we show in Supplementary Note 1, however, the three-spin chain cannot implement a reusable spin transistor even in the Ising limit >>1 since the control spin excitation at the gate site j=2 is not protected from leakage. We will therefore illustrate the scheme using a chain of N=4 spins, with the gate consisting of spins j=2,3 coupled to each other via the strong exchange constant .

Figure 1: Quantum spin transistor implementation in a spin chain.

(a) The ‘in’ and ‘out’ ports are coupled with to the central ‘gate’ region. (b) The energy levels of the gate, split by Ji/(N−2), are additionally tuned by hj, so as to realize resonant transfer of a spin excitation between the input and output ports when the gate is empty, . (c) The spin excitation transfer is blocked when the gate contains an excited (control) spin, . (d) Dynamics of an N=4 spin system with the open or closed gate. The parameters are Δ=−1, h=h=0 and J2/J1=17.484, as obtained for a system of four atoms in the triple-well potential from equation (2) (V0=500ɛ and U=200ɛ).

Consider a system in the initial state , which we aim to efficiently transfer to the final state using an intermediate resonant state, see Fig. 1b and Supplementary Note 2. The initial and final states have the same energy of , where hh2,3 (as is the standard convention in quantum optics, we refer to the expectation value of the Hamiltonian in a given state as the energy of this state). In turn, the eigenstates of Hamiltonian (1) in the single excitation space of strongly coupled sites j=2,3 are given by , with the corresponding energies split by 2J2. Then, by a proper choice of the magnetic field, , we can tune the energy of one of the intermediate states into resonance with the initial and final states (for example, for h=h the resonant state is ). Simultaneously, the other intermediate state does not participate in the transfer since its energy is detuned by 2J2 which is much larger than the exchange coupling of the initial and final states to the intermediate states. The transfer time of the spin excitation between the initial and final states via a single resonant intermediate state is tout=π/|J1| (Fig. 1d).

Next, we place a single spin excitation in one of the eigenstates of the gate. To be specific, for the magnetic field h=h we place the control spin in state and denote it as . Then the control spin cannot leak out of the gate region and therefore it is stationary. Moreover, if we place a target spin-up at the input port, the resulting state will have the energy which differs significantly from the energies and of the states to which it can couple via a single spin-exchange (assuming Δ≠0, see below and Supplementary Note 2), see Fig. 1c. Therefore, such an initial state will remain stationary and the control spin excitation on the gate will block the transfer of the target spin between the input and output ports, see Fig. 1d. Indeed, the large energy difference will preclude the escape of the gate spin excitation to the output port, while the large energy mismatch will suppress the probability of the second-order exchange of spin excitation between the input and output ports by a factor of <<1 (with Δ=−1, see below and Supplementary Note 2). Exactly the same arguments apply to the initial state with the magnetic field set to h=h+.

In the same spirit, we can construct spin transistors with longer spin chains (see Supplementary Note 3 for N=5), the above case of N=4 being the shortest and simplest one. The general idea illustrated in Fig. 1a–c is as follows: The gate region consists of N−2 strongly coupled spins, for all j{2,…, N−2}. Therefore, the single excitation space of the gate has N−2 eigenstates split by . With the magnetic field hj, we tune one of these eigenstates, say , in resonance with the single excitation input and output states. Assuming , all the other eigenstates will remain decoupled during the transfer, and we will have a simple three-level dynamics for a single target spin. Note that if the resonant eigenstate is antisymmetric, the output state will be the same as the input state, independent on the sign of Jj (see also Supplementary Note 2), while if we chose symmetric resonant state , we would obtain the output state which would be identical to the input state upon the application of the Pauli-Z quantum gate ( operation) to the output port. To close the transistor gate, we place a single spin excitation in one of the gate eigenstates from where the control spin cannot leak out since this eigenstate is non-resonant. Simultaneously, the target spin cannot enter the gate region since the double-excitation subspace, to which it is coupled, is shifted in energy due to the spin–spin interaction, resulting in the transfer blockade.

Physical realization

A possible system to realize the spin chain Hamiltonian of equation (1) is a cold ensemble of N strongly interacting atoms in a one-dimensional trap of appropriate geometry33,34,35,36. Recent experiments have confirmed that spin chains may indeed be realized this way37 with tunable microscopic optical traps38. An outline of the procedure to map this system onto the Heisenberg XXZ spin model is presented in Supplementary Note 4. A pair of suitable internal atomic states can serve as the spin-up and spin-down states, with the microwave or radiofrequency transition frequency further tunable through a global magnetic field inducing spatially-uniform Zeeman shifts and by tightly focused non-resonant laser beams inducing site-selective ac Stark shifts 31,39. In the full model, the strong contact interactions between the atoms are described by the dimensionless coefficients >>1 and g↑↑=g↓↓=κg, where the parameter κ>0 is related to the asymmetry parameter of the effective Heisenberg spin- model as . In turn, the exchange constants of the Heisenberg model are proportional to the geometric factors αj which are determined by the single particle solutions of the Schrödinger equation in a one-dimensional confining potential V(x). Hence, the shape of the trapping potential can be used to tune the necessary parameters of the effective spin chain34.

To realize the Hamiltonian (1) for N=4 particles with <<1, we use a triple-well potential. This can be modelled in numerous ways, and we choose the physically simple form

shown in Fig. 2a (see the caption for the parameters a, b and x0). The potential consists of a shallow Gaussian well at the center and a pair of deeper and narrower wells next to the boundaries. The four lowest-energy single particle wavefunctions of potential (2) are also shown in Fig. 2a. The two lower energy states are nearly degenerate and the corresponding wavefunctions have sizable amplitudes at the deep wells near the boundaries, while the two higher energy states have much larger energy separation, with the amplitudes of the corresponding wavefunctions being large in the shallow well in the middle. Accordingly, the effective exchange interactions satisfy J1=J3 and <<1. The dependence of the ratio J2/J1 on the parameters V0 and U in equation (2) are shown in Fig. 2b,c.

Figure 2: Implementation in a triple-well potential.

(a) Shape of the potential in equation (2) (thick solid black curve), and single particle eigenfunctions (thinner solid curves) corresponding to the four lowest-energy levels (dashed horizontal lines), for V0=500ɛ and U=200ɛ, where with m the atom mass. (b) The ratio of exchange coefficients J2/J1 as a function of V0, for U=200ɛ. (c) The ratio of exchange coefficients J2/J1 as a function of U, for V0=500ɛ. Other parameters in equation (2) are , , .

The nearly perfect transfer, or complete blockade, of the target spin for the open, or closed, gate as shown in Fig. 1d was obtained for the system parameters as in Fig. 2a. It is however important to quantify the sensitivity of the spin transistor to uncontrolled fluctuations of the parameters. In Fig. 3a we show the fidelities of transfer at time tout=π/|J1| versus the amplitude of random noise affecting the trapping potential or the (effective) magnetic field. We observe that coherent transfer is quite robust with respect to moderate variations in V0, but is rather sensitive to small variations in U and h since they detrimentally affect the gate resonant conditions. Importantly, the gate blockade is virtually unaffected by uncertainties in U, V0, h since it relies on the (large) energy mismatch. In Fig. 3b, we show the dependence of the blockade fidelity on κ which determines the asymmetry parameter Δ of the XXZ model. Clearly, the spin transistor cannot operate when Δ=0, that is, in the absence of the spin–spin interactions, since then the control spin can leak out of the gate, as mentioned above and in Supplementary Note 2.

Figure 3: Spin transistor sensitivity to fluctuations.

(a) Transfer fidelity F(tout) averaged over 100 independent realizations of the spin chain. In each realization, one of the parameters in A={V0,U,h} is a random variable with the Gaussian probability distribution around the ideal mean A0 (V0=500 ɛ, U=200 ɛ, h=h or h+), while the other two parameters are kept constant. The s.d. is σA=A0δA and we take σh=h+δh for both h=h± with nearly identical results. (b) The blockade fidelity for different values of κ (top horizontal axis) or Δ (bottom horizontal axis).


To summarize, we have presented a scheme for a quantum spin transistor realized in a Heisenberg spin chain and proposed and analysed its physical implementation with cold trapped atoms. In our scheme, the presence or absence of a control spin excitation in the gate can block or allow the transfer of an arbitrary target spin state between the input and output ports. If the gate is prepared in a superposition of open and closed states, then the initial state of the system with the target spin-up at the input port will evolve at time tout into the spatially entangled state.

Furthermore, if the gate is integrated into a larger system in which the excited spins from the source can be fed (one-by-one or one after the other) into the input port, and the output port is connected to the initially unexcited drain, then the initial gate superposition state will result in a (macroscopically) entangled Schrödinger cat-like state of many spins,

We note that with the atomic realization of spin chains, with the spin-up and spin-down states corresponding to the hyperfine (Zeeman) sublevels of the ground electronic state, the preparation of the closed gate state or the coherent superposition of states and (assuming h=h=0) can be accomplished by applying to a microwave or two-photon (Raman) optical pulse of proper area (π or π/2) and the frequency matching the energy difference δλ=2J2Δ between and . In turn, the initialization of the target spin state at the input port can also be done with resonant microwave or radiofrequency field(s), upon shifting the transition frequency of the atom by a focused laser31,39, while the readout at the output port can be done by internal state selective fluorescence using the quantum gas microscope set-up40,41. Both the initialization and the readout can be accomplished during time intervals 10 μs—short compared with ms transfer time39.

Data availability

The data that support the findings of this study are available from the corresponding authors upon request.

Additional information

How to cite this article: Marchukov, O. V. et al. Quantum spin transistor with a Heisenberg spin chain. Nat. Commun. 7, 13070 doi: 10.1038/ncomms13070 (2016).


  1. 1

    Datta, S. & Das, B. Electronic analog of the electro-optic modulator. Appl. Phys. Lett. 56, 665–667 (1990).

    ADS  CAS  Article  Google Scholar 

  2. 2

    Žutić, I., Fabian, J. & Das Sarma, S. Spintronics: fundamentals and applications. Rev. Mod. Phys. 76, 323–410 (2004).

    ADS  Article  Google Scholar 

  3. 3

    Awschalom, D. D., Bassett, L. C., Dzurak, A. S., Hu, E. L. & Petta, J. R. Quantum spintronics: engineering and manipulating atom-like spins in semiconductors. Science 339, 1174–1179 (2013).

    ADS  CAS  Article  Google Scholar 

  4. 4

    Devoret, M. H. & Glattli, C. Single-electron transistors. Phys. World 11, 29 (1998).

    CAS  Article  Google Scholar 

  5. 5

    Koenraad, P. M. & Flatté, M. E. Single dopants in semiconductors. Nat. Mater. 10, 91–100 (2011).

    ADS  CAS  Article  Google Scholar 

  6. 6

    Loss, D. & DiVincenzo, D. P. Quantum computation with quantum dots. Phys. Rev. A 57, 120–126 (1998).

    ADS  CAS  Article  Google Scholar 

  7. 7

    Kane, B. E. A silicon-based nuclear spin quantum computer. Nature 393, 133–137 (1998).

    ADS  CAS  Article  Google Scholar 

  8. 8

    Leuenberger, M. N. & Loss, D. Quantum computing in molecular magnets. Nature 410, 789–793 (2001).

    ADS  CAS  Article  Google Scholar 

  9. 9

    DiVincenzo, D. P., Bacon, D., Kempe, J., Burkard, G. & Whaley, K. B. Universal quantum computation with the exchange interaction. Nature 408, 339–342 (2000).

    ADS  CAS  Article  Google Scholar 

  10. 10

    Levy, J. Universal quantum computation with spin-1/2 pairs and heisenberg exchange. Phys. Rev. Lett. 89, 147902 (2002).

    ADS  MathSciNet  Article  Google Scholar 

  11. 11

    Bose, S. Quantum communication through an unmodulated spin chain. Phys. Rev. Lett. 91, 207901 (2003).

    ADS  Article  Google Scholar 

  12. 12

    Bose, S. Quantum communication through spin chain dynamics: an introductory overview. Contemp. Phys. 48, 13–30 (2007).

    ADS  CAS  Article  Google Scholar 

  13. 13

    Nikolopoulos, G. M., Petrosyan, D. & Lambropoulos, P. Coherent electron wavepacket propagation and entanglement in array of coupled quantum dots. EPL 65, 297–303 (2004).

    ADS  CAS  Article  Google Scholar 

  14. 14

    Christandl, M., Datta, N., Ekert, A. & Landahl, A. J. Perfect state transfer in quantum spin networks. Phys. Rev. Lett. 92, 187902 (2004).

    ADS  Article  Google Scholar 

  15. 15

    Petrosyan, D., Nikolopoulos, G. M. & Lambropoulos, P. State transfer in static and dynamic spin chains with disorder. Phys. Rev. A 81, 042307 (2010).

    ADS  Article  Google Scholar 

  16. 16

    Blundell, S. J. & Pratt, F. L. Organic and molecular magnets. J. Phys: Condens. Matter 16, R771–R828 (2004).

    ADS  CAS  Google Scholar 

  17. 17

    Zwanenburg, F. A. et al. Silicon quantum electronics. Rev. Mod. Phys. 85, 961–1019 (2013).

    ADS  CAS  Article  Google Scholar 

  18. 18

    Mourigal, M. et al. Fractional spinon excitations in the quantum Heisenberg antiferromagnetic chain. Nat. Phys. 9, 435–441 (2013).

    CAS  Article  Google Scholar 

  19. 19

    Sahling, S. et al. Experimental realization of long-distance entanglement between spins in antiferromagnetic quantum spin chains. Nat. Phys. 11, 255–260 (2015).

    CAS  Article  Google Scholar 

  20. 20

    Fazio, R. & van der Zant, H. Quantum phase transitions and vortex dynamics in superconducting networks. Phys. Rep. 355, 235–334 (2001).

    ADS  CAS  Article  Google Scholar 

  21. 21

    Porras, D. & Cirac, J. I. Effective quantum spin systems with trapped ions. Phys. Rev. Lett. 92, 207901 (2004).

    ADS  CAS  Article  Google Scholar 

  22. 22

    Blatt, R. & Roos, C. F. Quantum simulations with trapped ions. Nat. Phys. 8, 277–284 (2012).

    CAS  Article  Google Scholar 

  23. 23

    Gambardella, P. et al. Ferromagnetism in one-dimensional monatomic metal chains. Nature 416, 301–304 (2002).

    ADS  CAS  Article  Google Scholar 

  24. 24

    Hirjibehedin, C. F., Lutz, C. P. & Heinrich, A. J. Spin coupling in engineered atomic structures. Science 312, 1021–1024 (2006).

    ADS  CAS  Article  Google Scholar 

  25. 25

    Khajetoorians, A. A., Wiebe, J., Chilian, B. & Wiesendanger, R. Realizing all-spin-based logic operations atom by atom. Science 332, 1062–1064 (2011).

    ADS  CAS  Article  Google Scholar 

  26. 26

    Khajetoorians, A. A. et al. Atom-by-atom engineering and magnetometry of tailored nanomagnets. Nat. Phys. 8, 497–503 (2012).

    CAS  Article  Google Scholar 

  27. 27

    Toskovic, R. et al. Atomic spin-chain realization of a model for quantum criticality. Nat. Phys. 12, 656–660 (2016).

    CAS  Article  Google Scholar 

  28. 28

    Chumak, A. V., Serga, A. A. & Hillebrands, B. Magnon transistor for all-magnon data processing. Nat. Commun. 5, 4700 (2014).

    ADS  CAS  Article  Google Scholar 

  29. 29

    Chumak, A. V., Vasyuchka, V. I., Serga, A. A. & Hillebrands, B. Magnon spintronics. Nat. Phys. 11, 453–461 (2015).

    CAS  Article  Google Scholar 

  30. 30

    Trotzky, S. et al. Time-resolved observation and control of superexchange interactions with ultracold atoms in optical lattices. Science 319, 295–299 (2008).

    ADS  CAS  Article  Google Scholar 

  31. 31

    Fukuhara, T. et al. Quantum dynamics of a mobile spin impurity. Nat. Phys. 9, 235–241 (2013).

    CAS  Article  Google Scholar 

  32. 32

    Fukuhara, T. et al. Microscopic observation of magnon bound states and their dynamics. Nature 502, 76–79 (2013).

    ADS  CAS  Article  Google Scholar 

  33. 33

    Volosniev, A. G., Fedorov, D. V., Jensen, A. S., Valiente, M. & Zinner, N. T. Strongly interacting confined quantum systems in one dimension. Nat. Commun. 5, 5300 (2015).

    Article  Google Scholar 

  34. 34

    Volosniev, A. G. et al. Engineering the dynamics of effective spin-chain models for strongly interacting atomic gases. Phys. Rev. A 91, 023620 (2015).

    ADS  Article  Google Scholar 

  35. 35

    Deuretzbacher, F., Becker, D., Bjerlin, J., Reimann, S. M. & Santos, L. Quantum magnetism without lattices in strongly interacting one-dimensional spinor gases. Phys. Rev. A 90, 013611 (2014).

    ADS  Article  Google Scholar 

  36. 36

    Levinsen, J., Massignan, P., Bruun, G. M. & Parish, M. M. Strong-coupling ansatz for the one-dimensional Fermi gas in a harmonic potential. Sci. Adv. 1, e1500197 (2015).

    ADS  Article  Google Scholar 

  37. 37

    Murmann, S. et al. Antiferromagnetic heisenberg spin chain of a few cold atoms in a one-dimensional trap. Phys. Rev. Lett. 115, 215301 (2015).

    ADS  CAS  Article  Google Scholar 

  38. 38

    Murmann, S. et al. Two fermions in a double well: exploring a fundamental building block of the hubbard model. Phys. Rev. Lett. 114, 080402 (2015).

    ADS  Article  Google Scholar 

  39. 39

    Xia, T. et al. Randomized benchmarking of single-qubit gates in a 2d array of neutral-atom qubits. Phys. Rev. Lett. 114, 100503 (2015).

    ADS  CAS  Article  Google Scholar 

  40. 40

    Bakr, W. S., Gillen, J. I., Peng, A., Fölling, S. & Greiner, M. A quantum gas microscope for detecting single atoms in a Hubbard-regime optical lattice. Nature 462, 74–77 (2009).

    ADS  CAS  Article  Google Scholar 

  41. 41

    Sherson, J. F. et al. Single-atom-resolved fluorescence imaging of an atomic Mott insulator. Nature 467, 68–72 (2010).

    ADS  CAS  Article  Google Scholar 

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This work was funded in part by the Danish Council for Independent Research DFF Natural Sciences and the DFF Sapere Aude programme, and by the Carlsberg Foundation. A.G.V. acknowledges partial support by Helmholtz Association under contract HA216/EMMI. M.V. is funded by EPSRC EP/M024636/1. D.P. is grateful to the Aarhus Institute of Advanced Studies in Denmark for hospitality and support, and to the Alexander von Humboldt Foundation for support during his stay in Germany.

Author information




O.V.M., A.G.V., M.V., D.P. and N.T.Z. devised the project. O.V.M. and A.G.V. developed the formalism under the supervision of D.P. and N.T.Z. The numerical calculations were carried out by O.V.M. The initial draft of the paper was written by O.V.M., N.T.Z. and D.P. All authors contributed to the revisions that led to the final version.

Corresponding authors

Correspondence to D. Petrosyan or N. T. Zinner.

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Supplementary Information

Supplementary Notes 1-4 and Supplementary References (PDF 223 kb)

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Marchukov, O., Volosniev, A., Valiente, M. et al. Quantum spin transistor with a Heisenberg spin chain. Nat Commun 7, 13070 (2016).

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