Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Remote detection and recording of atomic-scale spin dynamics

Abstract

Atomic spin structures assembled by means of scanning tunneling microscopy (STM) provide valuable insight into the understanding of atomic-scale magnetism. Among the major challenges are the detection and subsequent read-out of ultrafast spin dynamics due to a dichotomy in travel speed of these dynamics and the probe tip. Here, we present a device composed of individual Fe atoms that allows for remote detection of spin dynamics. We have characterized the device and used it to detect the presence of spin waves originating from an excitation induced by the STM tip several nanometres away; this may be extended to much longer distances. The device contains a memory element that can be consulted seconds after detection, similar in functionality to e.g. a single photon detector. We performed statistical analysis of the responsiveness to remote spin excitations and corroborated the results using basic calculations of the free evolution of coupled quantum spins.

Introduction

Spin waves, quantum-mechanically described as magnons, are collective magnetic excitations that, due to their long-distance coherence1, are considered promising candidates for future spintronic devices2,3,4,5. In light of the intrinsic quantum nature of these waves, their exact behavior is difficult to predict. Scanning tunneling microscopy (STM)-based atom manipulation allows for the assembly of artificial spin structures6,7: a technique that has enabled studies of collective magnetism ranging from the emergence of magnetic bistability8,9,10 to spin waves11, phase transitions12,13 and topologically protected edge states14,15,16. More recently, the implementation of electron spin resonance (ESR)17 has led to coherent manipulation of combined atomic spin states18. However, by nature of the STM design, in each of these studies the effect of local tip-induced stimuli can only be probed there where they are generated.

For atomic structures that have a static spin state, remote detection schemes exist that make use of a nearby atomic probe19,20,21. In order to remotely probe the dynamic response occurring faster than the tip travel time, one would need to implement a memory unit that stores this response until the tip has had time to arrive. Such memory-based remote detection schemes have been implemented for dynamic processes not based on spin22,23. In this work, we present a device that provides memory-based remote detection of spin dynamics in atomic spin structures. By comparing experimental results to calculations we show that the triggering of the detector correlates with the probability of a magnetic excitation induced elsewhere reaching the detector due to free quantum evolution.

Results

Design of spin wave detector

The general design of the spin wave detector, shown in Fig. 1a, is based on Fe atoms on top of Cu2N. All structures are built in a line along a nitrogen row of the Cu2N molecular network. This direction coincides with the easy axis of the Fe atom spins, which we treat as effective S = 224. During the experiment, we apply a magnetic field B = 0.5–1.0 T along this direction in order to maintain spin-polarized tunneling contrast8. Structures consist of three parts: an input lead, an output lead and a reset lead. The length of these parts are given as nin, nout and nreset, respectively. For reasons discussed below, the output lead is required to have an even length, whereas the input and reset leads are required to be odd. Throughout this paper, we will use nout = 8, nreset = 3 and 3 ≤ nin ≤ 9. To describe the structures, we will use the shorthand “nin-nout-nreset”; for example, the structure shown in Fig. 1 will be referred to as “3-8-3”.

Fig. 1: Operating principle of the spin wave detector.
figure 1

a Schematic overview of a 3-8-3 structure, consisting of an input lead (length nin = 3), an output lead (nout = 8) and a reset lead (nreset = 3). Atoms in the input and reset leads are labeled alphabetically, counting outward from the output lead. b Side-view spin-polarized tunneling topographies (1 mV/10 pA at 1.5 K, 0.5 T) of a 3-8-3 in the two allowed states of the output lead: Néel states NA and NB. c Simplified operation cycle outlined in five steps; see text for more information. Favourable coupling configurations between the output and input/reset are labeled “H” (happy); unfavourable configurations are labeled “U” (unhappy). d Simplified energy diagrams showing NA and NB in the five situations described in c. The arrow indicates the state of the output lead.

Neighboring atoms that are part of the same lead are separated by two unit cells of the Cu2N lattice, which is known to result in an antiferromagnetic coupling with coupling constant J = 0.7 meV25. Adjacent atoms from different leads are separated by three unit cells. We have determined through inelastic electron tunneling spectroscopy and spin-polarized STM that this separation results in a ferromagnetic coupling −0.05 meV\(\, < \, J^{\prime} \, < \,0\) meV. We will use \(J^{\prime} =-0.05\) meV throughout the rest of this paper. See Supplementary Note 1 for a detailed description of the Hamiltonian.

As demonstrated by means of spin-polarized STM in Fig. 1b, the output lead will at any time be in either of two Néel states NA and NB. For nout = 8, both these states have a lifetime upward of several seconds8. We define NA to be the state where the output atom closest to the input lead is aligned with the field. As nin and nreset are odd, atoms A and A′ (Fig. 1a) will also prefer to align with the field. As a result, when neither the input nor the reset lead is excited, the NA-state will have a favoured (“happy”) coupling to the input lead and an unfavoured (“unhappy”) coupling to the reset lead. In this situation, NA and NB are degenerate.

An operation cycle consists of the five steps outlined in Fig. 1c. (1) First, the output lead is set to NA. If this is not the case, the output can be initialized by starting the cycle at step 3. (2) A spin excitation is induced in the input lead, affecting the spin state of atom A. The resulting energy splitting between NA and NB causes the system to fall to its ground state NB. (3) The output lead, consulted by the STM tip, retains its state NB after the input lead relaxes to its original state. Further actuation on the input lead does not change the output state. (4) A reset is performed by means of a similar excitation on the reset lead, after which (5) the system returns to its initial state NA. This design provides a ratchet behavior, where the output lead should switch only if the coupling configuration on the input side is “happy”, and never if it is “unhappy”. In the following experiments, we always start with the tip on the input lead. We then define PH as the measured probability for the output lead to switch from NA to NB, and PU the probability to switch from NB to NA.

In the figure, the input and reset leads are shown to fully invert. However, we emphasize that switching of the output lead would also occur if atom A in step 2 is only partially inverted due to a spin excitation. In fact, as we will discuss below, switches of the output lead can occur already if the magnetization of atom A is changed from Sz = +2 to Sz = +1, i.e., due to a single short-lived ΔSz = 1 excitation.

Triggering by means of voltage pulses

We have tested the functionality of the device by switching the input lead in two different ways: by means of local spin excitations in the input lead and by means of tip field-induced static inversion of the input lead as a whole. In the first method, we perform voltage pulses on input atoms, and we characterize the response of the output lead as a function of pulse parameters. Figure 2a shows the switching efficiency after applying voltage pulses of varying height on atom C. Pulse width and tunneling current are kept constant at 550 ms and 20 pA to ensure the same number of electrons for all pulses. We note that this current is too low for the input trimer to spend a significant amount of time in the inverted state. Statistics throughout this paper are based on N 100 attempts. During readout of the output lead, the tunnel junction is set to 10 pA at 2 mV, i.e. below the excitation energy.

Fig. 2: Switching probabilities as a function of pulse voltage, pulse width and tip height.
figure 2

a Measured values of switching probabilities PH and PU as a function of pulse voltage. Data taken with 550 ms pulses at 20 pA (1.5 K, 0.5 T). b Measured values of PH and PU as a function of pulse width. Data taken at 10 mV, 1.1 pA (1.5 K, 1 T), corresponding to a tip height of 160 pm. Tip heights are defined in comparison to regulating at 1 mV, 3 pA on the Cu2N island. c Measured values of PH and PU as a function of tip height. Data taken at 10 mV, pulse width 200 ms (1.5 K, 1 T). All data is based on N ≥ 180 attempts with the error bars showing 1.5σ for a binomial distribution with μ at the recorded rate. Dashed lines are guides to the eye.

For small pulse amplitudes, measured switching probabilities are close to zero. However, from ~7 mV, which corresponds to the energy of a spin excitation on atom C from its Sz = +2 to its Sz = +1 state, increased values are found. Switching probability PH, for switches originating from the state where the input lead is in the “happy” configuration, reaches 80%. Note that switching probability PU from the “unhappy” configuration remains much lower, consistent with the expected behavior of the device. For even larger pulse voltages, PU increases while at the same time PH decreases. This can be explained in terms of secondary switches during a single pulse back towards the “happy” state. Hence, PH + PU ≤ 1.

Figure 2b, c shows PH and PU as a function of pulse width and tip height, respectively. For the settings used in Fig. 2b, we find an approximate switching time τ = 25 ms. As I depends exponentially on tip-sample distance, both graphs show an equivalent range of number of electrons per pulse, IΔt ≈ [104, 108]. Although both graphs behave similar for small IΔt, they diverge at higher values: when increasing pulse width, PH and PU are found to plateau, while increasing I eventually increases PU (thus reducing PH). This suggests a path for switching from the “unhappy” configuration which is based on a multi-excitation process, presumably due to magnon excitations tunneling into the output lead (Supplementary Note 2).

Triggering by means of tip exchange field

In order to exclude the possibility of tunneling magnons, the second method to switch the output lead involves reversing the input lead via controlled exchange coupling with the tip26. In this experiment, the voltage is kept below the excitation threshold and the tip is held over an input atom at a certain target height for a certain duration. Figure 3a shows the switching probabilities PH and PU as a function of duration for a fixed target height of 10 pm (as compared to regulating at 1 mV, 3 pA on Cu2N). For this target height we find τ ≈ 5 s.

Fig. 3: Switching the input by tip exchange field.
figure 3

a Switching probabilities PH and PU as a function of duration at a target tip height of 10 pm, using a bias voltage of 1 mV. Arrows indicate data points that also appear in b and c. b PH for atoms A, B and C, for a duration of 2 s. Note how atom B is less sensitive to the tip field than atoms A and C. c Same as b but for PU. Data in all three subpanels is taken at 1.5 K, 1 T. The error bars show 1.5σ for a binomial distribution with μ at the recorded rate. Dashed lines are guides to the eye.

A more detailed investigation is shown in Fig. 3b, c, which shows PH (PU) on the different atoms of the input lead as a function of target height. For sufficiently large tip separation, no switching is observed. Bringing the tip closer to the input lead induces switches of the output lead, suggesting that the tip field causes the predominant state of the input lead to switch from \(({S}_{z}^{{\rm{C}}},{S}_{z}^{{\rm{B}}},{S}_{z}^{{\rm{A}}})=(+2,-2,+2)\) to (−2, +2, −2). For target heights down to −100 pm, PH on atoms A and C increases, whereas PU does not increase significantly. Likewise, PH on atom B does not increase significantly beyond PU. Closer tip extensions are explored in Supplementary Note 3.

We emphasize that the essence of the switching mechanism is different in this second method compared to the first: here the input lead spends a significant amount of time in the fully inverted state, whereas in the first case, ΔSz = 1 excitations on one side of the barrier are the dominant cause for the reduction of the time averaged \({S}_{z}^{{\rm{A}}}\).

Extended input lead and comparison with calculations

Having characterized the sensitivity of the detector to spin excitations on the input lead as described in Fig. 2, we now consider the effect of introducing these excitations at different distances. In Fig. 4a, b, we compare switching measurements for various tip locations on the input lead for nin = 3 and 5. Although the measurements on the 5-8-3 indicate a monotonous decrease of the switching probability as a function of distance to the output lead, both for switches from the “happy” and “unhappy” states, measurements on the 3-8-3 show a marked reduction in PH, and corresponding increase in PU, when the tip is located on atom B.

Fig. 4: Switching probabilities as a function of tip location and input length compared to calculations.
figure 4

a Closed circles: switching probabilities PH and PU as a function of tip location for nin = 3 (10 mV, 2 pA, 550 ms). Open circles: values averaged over the first 20 ps from c. Note the different axes used for open and closed circles. b Same as a but for nin = 5 (10 mV, 1.6 pA, 100ms). c Time-dependent Schrödinger equation calculations performed on an Fe trimer. The curves show the time evolution of the expectation value of Sz at atom A following a single excitation on each of the input atoms. d Same as c but for an Fe pentamer. e PH as a function of tip location for nin = 9. Different curves correspond to different tip heights: 180 pm (420 fA), 80 pm (4.3 pA) and 30 pm (15.2 pA) for, respectively, light blue, dark blue and magenta. All voltage pulses last 300 ms at 10 mV. The gray curve is taken at 180 pm, 1 mV, for reference. Data in a, b, e are taken at 1.5 K, 1 T. The error bars show 1.5σ for a binomial distribution with μ at the recorded rate. Dashed lines are guides to the eye.

In order to gain insight into this behavior, we performed time-dependent Schrödinger equation calculations simulating the dynamics of the input lead upon an excitation (Fig. 4c, d). In these calculations, we model only the input lead. The coupling to the output lead is modeled by an effective magnetic field on atom A (Supplementary Note 2). First, we initialize the system by finding the ground state of the Hamiltonian. Next, we perform a single spin excitation on one of the input atoms (i.e., we apply the \({\hat{S}}_{+}\) or \({\hat{S}}_{-}\) operator depending on the position in the antiferromagnetic input lead), after which we apply the time-dependent Schrödinger equation to the resulting state. Plotted are the values \({S}_{z}^{{\rm{A}}}(\alpha )\) after an excitation on atom α. Dissipation effects are not considered in these calculations.

Figure 4c, d shows the results of calculations for the first 100 ps on a trimer and pentamer, respectively. As expected, \({S}_{z}^{{\rm{A}}}\) values never reach much lower than +1, so a full inversion of the input lead does not occur in these calculations. We estimate the lifetime of an excitation to be ~10 ps (see Supplementary Note 2, not to be confused with the ~1 μs lifetime of the inverted state, see Supplementary Note 4). Therefore, we took the averaged values of \({S}_{z}^{{\rm{A}}}(\alpha )\) over the first 20 ps and plotted these as open circled in Fig. 4a, b. As in the experimental data, this results in a deviation from \({S}_{z}^{{\rm{A}}}=2\) that alternates for the trimer, whereas it decreases monotonously for the pentamer. These results suggest that the spin wave detector is able to register unitary spin dynamics.

Finally, in Fig. 4e, we show switching experiments on a 9-8-3 device. Here we find that it is possible to switch the output lead from as far away as 6.8 nm (19 Cu2N lattice sites). We find that as the current increases, the distance where PH ≈ 50%, the maximum value for this structure, also increases: from 7 lattice sites for z = 180 pm to at least 19 lattice sites for z = 30 pm. For this structure, the results are compared with a background measurement (V = 1 mV, z = 180 pm), which yields a minimum switching rate of ~20%. We attribute this increased base switching probability to łonger lifetime of the input lead (in the order of 1 s), therefore spending extended periods of time in the inverted state, even in the absence of excitations.

Discussion

In summary, we have developed an atomic device that can be used to detect dynamic and nonlocal spin phenomena such as magnons. We have tested the device for its sensitivity to spin excitations, as well as a complete inversion of the input lead. We have shown that the device is sensitive to spin excitations originating up to 9 atoms away. In subsequent experiments, the input lead may be replaced by more exotic spin architectures. This method thereby provides a tool in studying dynamic spin processes on the atomic scale.

Methods

We used a UNISOKU USM-1300s 3He STM system, operating at 1.5 K and B = 0.5–1 T in the plane of the sample, along the axis of the structures. The Cu2N/Cu3Au(100) sample was prepared as described by Gobeil et al.27. The tip is prepared as in Loth et al.8. Fe atoms were picked up from the Cu2N by using bias pulses of ~1 V at (regulation 100 pA, 20 mV, then move −300 pm) and dropped at −600 μV with the tip gradually nearing the surface until a change in current is observed. The Fe was subsequently maneuvered into place with a pulse of ~1 V at (100 pA, 20 mV). Calculations were performed using QuTip28,29, a library for Python. See Supplementary Note 6 for a more detailed description of the data acquisition technique, and Supplementary Note 5 for possibilities on even faster data acquisition.

Data availability

All data presented in this paper is publicly available via digital object identifier (DOI) 10.5281/zenodo.3759448. Included in the open data folder are the raw data and the Python scripts to process the data, to reproduce Figs. 2, 3 and 4. Figure 1 does not include experimental data.

References

  1. Lenk, B., Ulrichs, H., Garbs, F. & Münzenberg, M. The building blocks of magnonics. Phys. Rep. 507, 107–136 (2011).

    ADS  Article  Google Scholar 

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

    Article  Google Scholar 

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

    ADS  Article  Google Scholar 

  4. Han, J., Zhang, P., Hou, J. T., Siddiqui, S. A. & Liu, L. Mutual control of coherent spin waves and magnetic domain walls in a magnonic device. Science 366, 1121–1125 (2019).

    ADS  Article  Google Scholar 

  5. Wang, Y. et al. Magnetization switching by magnon-mediated spin torque through an antiferromagnetic insulator. Science 366, 1125–1128 (2019).

    ADS  Article  Google Scholar 

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

    ADS  Article  Google Scholar 

  7. Choi, D.-J. et al. Colloquium: Atomic spin chains on surfaces. Rev. Mod. Phys. 91, 041001 (2019).

    ADS  Article  Google Scholar 

  8. Loth, S., Baumann, S., Lutz, C. P., Eigler, D. M. & Heinrich, A. J. Bistability in atomic-scale antiferromagnets. Science 335, 196–199 (2012).

    ADS  Article  Google Scholar 

  9. Loth, S., Etzkorn, M., Lutz, C. P., Eigler, D. M. & Heinrich, A. J. Measurement of fast electron spin relaxation times with atomic resolution. Science 329, 1628–1630 (2010).

    ADS  Article  Google Scholar 

  10. Khajetoorians, A. A. et al. Current-driven spin dynamics of artificially constructed quantum magnets. Science 339, 55–59 (2013).

    ADS  Article  Google Scholar 

  11. Spinelli, A., Bryant, B., Delgado, F., Fernández-Rossier, J. & Otte, A. F. Imaging of spin waves in atomically designed nanomagnets. Nat. Mater. 13, 782–785 (2014).

    ADS  Article  Google Scholar 

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

    Article  Google Scholar 

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

    Article  Google Scholar 

  14. Nadj-Perge, S. et al. Observation of majorana fermions in ferromagnetic atomic chains on a superconductor. Science 346, 602–607 (2014).

    ADS  Article  Google Scholar 

  15. Kim, H. et al. Toward tailoring majorana bound states in artificially constructed magnetic atom chains on elemental superconductors. Sci. Adv. 4, eaar5251 (2018).

  16. Ruby, M. et al. End states and subgap structure in proximity-coupled chains of magnetic adatoms. Phys. Rev. Lett. 115, 197204 (2015).

    ADS  Article  Google Scholar 

  17. Baumann, S. et al. Electron paramagnetic resonance of individual atoms on a surface. Science 350, 417–420 (2015).

    ADS  Article  Google Scholar 

  18. Yang, K. et al. Coherent spin manipulation of individual atoms on a surface. Science 366, 509–512 (2019).

    ADS  Article  Google Scholar 

  19. Yan, S. et al. Nonlocally sensing the magnetic states of nanoscale antiferromagnets with an atomic spin sensor. Sci. Adv. 3, e1603137 (2017).

  20. Natterer, F. D. et al. Reading and writing single-atom magnets. Nature 543, 226–228 (2017).

    ADS  Article  Google Scholar 

  21. Hermenau, J. et al. Stabilizing spin systems via symmetrically tailored RKKY interactions. Nat. Commun. 10, 2565 (2019).

    ADS  Article  Google Scholar 

  22. Kügel, J. et al. Remote single-molecule switching: Identification and nanoengineering of hot electron-induced tautomerization. Nano Lett. 17, 5106–5112 (2017).

    ADS  Article  Google Scholar 

  23. Heinrich, A. J., Lutz, C. P., Gupta, J. A. & Eigler, D. M. Molecule cascades. Science 298, 1381–1387 (2002).

    ADS  Article  Google Scholar 

  24. Hirjibehedin, C. F. et al. Large magnetic anisotropy of a single atomic spin embedded in a surface molecular network. Science 317, 1199–1203 (2007).

    ADS  Article  Google Scholar 

  25. Bryant, B., Spinelli, A., Wagenaar, J. J. T., Gerrits, M. & Otte, A. F. Local control of single atom magnetocrystalline anisotropy. Phys. Rev. Lett. 111, 127203 (2013).

    ADS  Article  Google Scholar 

  26. Yan, S., Choi, D.-J., Burgess, J. A. J., Rolf-Pissarczyk, S. & Loth, S. Control of quantum magnets by atomic exchange bias. Nat. Nanotechnol. 10, 40–45 (2014).

    ADS  Article  Google Scholar 

  27. Gobeil, J., Coffey, D., Wang, S.-J. & Otte, A. F. Large insulating nitride islands on Cu3Au as a template for atomic spin structures. Surf. Sci. 679, 202–206 (2019).

    ADS  Article  Google Scholar 

  28. Johansson, J., Nation, P. & Nori, F. QuTiP: an open-source Python framework for the dynamics of open quantum systems. Comput. Phys. Commun. 183, 1760–1772 (2012).

    ADS  Article  Google Scholar 

  29. Johansson, J., Nation, P. & Nori, F. QuTiP 2: a Python framework for the dynamics of open quantum systems. Comput. Phys. Commun. 184, 1234–1240 (2013).

    ADS  Article  Google Scholar 

Download references

Acknowledgements

We acknowledge support from the Netherlands Organisation for Scientific Research (NWO) and from the European Research Council (ERC Starting Grant 676895 “SPINCAD”), and thank J. Fernández-Rossier for discussion.

Author information

Authors and Affiliations

Authors

Contributions

D.C. and A.F.O. designed the experiment. R.J.G.E., D.C. and J.G. performed the experiments. R.J.G.E. analyzed the data, making use of code written by J.G. The manuscript was written by R.J.G.E., D.C. and A.F.O.

Corresponding author

Correspondence to A. F. Otte.

Ethics declarations

Competing Interests

The authors declare no competing interests.

Additional information

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

Supplementary information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Elbertse, R.J.G., Coffey, D., Gobeil, J. et al. Remote detection and recording of atomic-scale spin dynamics. Commun Phys 3, 94 (2020). https://doi.org/10.1038/s42005-020-0361-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1038/s42005-020-0361-z

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing