Abstract
Individual magnetic molecules are promising building blocks for quantum technologies owing to their chemical tunability, nanoscale dimensions and ability to self-assemble into ordered arrays. However, exploiting their properties in quantum information processing requires precise local control of their spin. Here we demonstrate spin–electric coupling for two molecular spin systems—iron phthalocyanine (FePc) and Fe–FePc complexes—adsorbed on a surface. We use electron spin resonance combined with scanning tunnelling microscopy to locally address them and electrically tune them using an applied bias voltage. These measurements reveal a nonlinear voltage dependence of the resonance frequency, linked to the energetic position of the molecular orbitals. We attribute this effect to a transport-mediated exchange field from the magnetic tip, providing a large, highly localized and broadly applicable spin–electric coupling mechanism. Finally, we demonstrate that the spin–electric coupling enables all-electrical coherent spin control. In Rabi oscillation measurements of both single and coupled Fe–FePc complexes, we show that the spin dynamics can be tuned using the exchange field, demonstrating a pathway towards electrically controlled quantum operations.
Subject terms: Organic-inorganic nanostructures, Quantum information
Single molecules that host isolated spins are promising candidates for applications in quantum technologies. Now it is shown that exchange interactions enable electric control of spins in two different molecular species.
Main
Electron and nuclear spins in single molecules have attracted substantial interest as potential building blocks for applications in spintronics, quantum sensing, and quantum computing1. Magnetic molecular systems are of nanoscopic size, benefit from self-assembly and offer unique structural as well as chemical tunability via modern synthetic chemistry2,3. A key challenge lies in achieving reliable and local control over individual spin centres. A potential solution is the use of electric fields, which—in contrast to magnetic fields—can be efficiently applied in a confined region4. Thus, spin–electric coupling (SEC) in molecules has in recent years emerged as a promising control mechanism, which has been discussed theoretically5–7 and realized experimentally8–16 in a variety of systems. These specifically tailored molecular platforms typically rely on structural distortions that modulate key parameters of the spin Hamiltonian, such as zero-field splitting, g-factor, orbital angular momentum, hyperfine interaction or exchange coupling. Often, effective SEC requires a soft, electrically polarizable molecular environment and spin energy levels that are highly sensitive to structural changes. However, the experimentally observed shifts in spin resonance frequencies due to electric fields have so far remained relatively modest, amounting to less than < 1% of the qubit’s unperturbed resonance frequency f0 = gμBB/h. This limitation arises partly because most SEC mechanisms across platforms are found to be linear17, and exceptions of higher-order contributions have been rarely observed and discussed6,18–20.
Recently, SEC has been studied using electron spin resonance scanning tunnelling microscopy (ESR–STM): This combination of ESR with STM has emerged as a powerful tool providing sub-ångström resolution while also permitting coherent control of single spin states21–24. For SEC, shifts of up to ≈ 3% have been reported for individual atomic and molecular spins dominated by a linear response25,26. Different theoretical models have been proposed to account for SEC in an STM junction, including piezoelectric distortion27,28 and transport-mediated exchange interaction29–31. While the latter promises a nonlinear, universal and highly localized mechanism for tuning atomic-scale quantum systems29,30, neither this predicted behaviour nor its application in coherent control has been demonstrated experimentally.
In this study, we use ESR–STM to investigate the SEC in two molecular spin systems on MgO/Ag(001)—iron phthalocyanine (FePc) and an Fe–FePc complex. We show that varying the d.c. bias voltage in the STM junction shifts the resonance frequency of the spin transition . In FePc, this shift becomes strongly nonlinear—reaching close to 30%—when the electrochemical potential is close to the lowest unoccupied molecular orbital (LUMO). We attribute this behaviour to a transport-mediated exchange interaction between the magnetic tip and the molecule spin26,29–31, which predicts such a logarithmic divergence. This effect is not only large and highly localized (even more so than electric fields), but also universal and consequently broadly applicable to other spin systems such as quantum dots and solid-state spin defects. In the second part, we demonstrate that the SEC can be readily employed in all-electrical coherent control of spin dynamics: Rabi oscillation measurements on Fe–FePc complexes reveal that individual spins can be selectively detuned using only. Finally, we extend this to electric tuning of coupled dimer spins, highlighting the potential of SEC for individual control with nanoscale precision in larger spin assemblies.
Results and discussion
SEC of molecules on MgO/Ag(001)
An STM topography of the sample is shown in Fig. 1a. We deposited Fe atoms and FePc molecules onto two monolayers of MgO atop an Ag(001) crystal. FePc molecules were shown to form an S = 1/2 system that is localized on the central Fe atom32. In addition, we include in this work a spin complex that consists of one FePc molecule that is strongly coupled to an adjacent Fe atom via one of its ligands. As shown previously33, these Fe–FePc organometallic complexes can be built using tip-assisted assembly and form a mixed-spin (1,1/2) ferrimagnet with a well-separated doublet of , mimicking an S = 1/2 system. Both FePc and Fe–FePc constitute ideal two-level systems that allow coherent quantum control22,33. We employ both in this study, as the molecular orbital structure of FePc best demonstrates the exchange bias mechanism, while coherent control is facilitated in the Fe–FePc complex due to its resilience to inelastic electron scattering33.
Fig. 1. Molecular spins on MgO/Ag(001).

a, STM topography of the surface with the deposited Fe atoms and FePc molecules and a built Fe–FePc complex (image conditions: ). The inset shows a close-up topography of a single FePc molecule (2.2 nm × 2.2 nm, I = 50 pA, VDC = 100 mV). The blue dot marks the tip position of the experiments shown in b and d. b, Left: differential conductance (dI/dV) spectra acquired on the centre of the FePc (). The arrows indicate the removal (addition) of an electron leading to the transition from the [FePc]−1 (with an unpaired spin in the molecule’s a1g orbital) to the [FePc]0 and [FePc]−2 charge state. Right: the dI/dV maps show the spatial extent of both states (−2,000 mV and +400 mV) alongside the topography with an inserted chemical structure drawing. c, Left: schematic drawing of the experimental set-up with a spin-polarized STM tip above the FePc molecule atop MgO/Ag(001). A d.c. bias voltage and RF voltage are applied across the tunnel junction. The magnetic tip, realized by picking up individual Fe atoms from the surface, creates a highly localized tip field acting on the surface spin together with an externally applied magnetic field . Right: This is illustrated by the energy level diagram of the spin ½. Top right: chemical configuration of the FePc molecule. d, Electron spin resonance (ESR) measured on an FePc molecule for different showing the change in tunnel current as a function of frequency (ESR conditions: ). The frequency sweeps were taken at constant height (open feedback loop) and are vertically shifted for clarity.
The electronic structure of the FePc molecule is characterized in Fig. 1b by differential conductance dI/dV measurements (see also ref. 32). We observe pronounced conductance peaks around −2,000 mV (+1,000 mV) related to the process of removing (adding) an electron to the molecule34. We assign these energy positions to the highest occupied molecular orbital (HOMO) and the LUMO32,35, respectively (see also Extended Data Fig. 1 and Supplementary Section 3). Density functional theory (DFT) calculations indicate that the FePc electronic configuration involves one unpaired spin in the a1g orbital. This results from a charge transfer from the substrate ([FePc]−1) and leads to an S = 1/2 ground state22,29,32 (see also Extended Data Fig. 2 and Supplementary Section 4). The resulting magnetic spin state can be probed by ESR–STM (Fig. 1c). For ESR, the ground states are split by an external magnetic field B perpendicular to the sample surface
| 1 |
where is the resonance frequency, is Planck’s constant, is the Bohr magneton and is the g-factor. For both spin systems, was found to be approximately (refs. 32,33). Moreover, accounts for the influence of the highly localized magnetic tip field leading to a shift of the surface spin’s resonance frequency. consists of both magnetic exchange and magnetic dipole–dipole interaction36,37, which results in different amplitude and sign of depending on the particular magnetic tip apex.
Extended Data Fig. 1. Differential conductance maps of FePc.

a, Normalized differential conductance (dI/dV) spectra acquired on an isolated FePc molecule (blue) (). The inset shows the measurement position as a colored dot on the topography. b, Spatially resolved dI/dV maps of the single FePc molecule shown in a. The signal is recorded in closed loop at the bias voltages via a lock-in modulation (, ).
Extended Data Fig. 2. DFT calculations of FePc.

a, Schematic representation of the spectral function for a single impurity Anderson model (SIAM) with the two relevant charge transitions at ionization energy and charging energy . The inset shows the energy level diagram of the [FePc]−1 charge state with the single occupied a1g orbital which has a strong dz2 contribution (). The spin polarization iso-surface above demonstrates the strong dz2 character of the orbital. b, Correspondence to the DFT ΔSCF calculations, indicating ionization potential (IP) and electron affinity (EA); their difference is . c, Calculated spin-polarized projected DOS (PDOS) for the three charge configurations: [FePc]−2, [FePc]−1 and [FePc]0.
Motivated by SEC, which was recently observed for individual Ti atoms on MgO/Ag(001)25 in ESR–STM, we investigated the dependence of the ESR signal as a function of bias voltage (Fig. 1d). Here, we keep the tip–sample distance and the external field constant while sweeping the ESR frequency. Indeed, we find a linear dependence for the voltage range shown. This frequency shift can be interpreted as a contribution to the Zeeman energy by the SEC (see sketch in Fig. 1c). The intensity of the ESR signal increases with, mainly due to increasing tunnelling current I (Extended Data Fig. 3). For different magnetic tips, we observe that the linear voltage dependence occurs with a varying magnitude ranging from 0.5 to 8 MHz mV−1 (Supplementary Section 7). In the case of Ti atoms, a linear shift of similar magnitude was explained by a piezoelectric coupling between the magnetic tip and the surface spin25: as a consequence of , the spin is displaced in the magnetic field of the tip, which increases or decreases . This effect is additionally accompanied by a change in the g-factor. By contrast, in recent works by some of the authors, it was theoretically proposed that SEC can also result from transport-mediated exchange interaction29–31.
Extended Data Fig. 3. Voltage dependent frequency sweeps on FePc.

a, Waterfall plot of individual frequency sweeps from the experimental data presented in Fig. 2a showing the change in tunneling current as a function of frequency for various bias voltages . The black solid lines represent fits to the Fano function shown in Eq. (S1). The traces are vertically offset for clarity. b, Analogous to a showing frequency sweeps from the experimental data presented in Fig. 2b.
Nonlinear SEC
To elucidate the mechanism, Fig. 2 shows the voltage dependence of the resonance frequency for FePc molecules over a wider bias voltage range than in Fig. 1d and for different magnetic tips. For the first magnetic tip in Fig. 2a, we find that the resonance peak position starts to shift drastically and in a nonlinear manner at voltages above ≈250 mV. This shift is accompanied by an increase in peak linewidth and amplitude as well as a change in its asymmetry. In addition, we find that changes sign when employing a tip of opposite magnetic field direction (Fig. 2b). In Fig. 2c, we compare the shift of the resonance frequency for both datasets. Due to the nonlinearity, the relative shift in Fig. 2c is rather large ] compared with previous works (≈3% in ref. 25 and ≈0.2% in ref. 9). We stress that such nonlinear behaviour as found in Fig. 2 is not expected from a piezoelectric displacement model as previously used for Ti atoms25. Moreover, the latter relies on the electric-field-induced displacement of the charged surface spin, and we find this to be incompatible with the observed sign of for FePc (Supplementary Section 6).
Fig. 2. Nonlinear SEC in the ESR spectra on FePc.

a, Colour map of the ESR signal as a function of and on a single FePc molecule. Left: experimental data (ESR conditions: ). Sharp horizontal lines are rectifications of the RF transfer function. Right: simulation according to the exchange bias model. The inset illustrates an STM tip with a spin polarization used for the simulation. b, ESR map analogous to a, but with a different magnetic tip with (). c, Frequency shift over extracted from the spectra in a (red) and b (blue). The black lines show corresponding fits of the exchange bias model, see equations (1) and (2). The second y-axis on the right-hand side displays the relative change of the resonance frequency with for the red (blue) dataset. d,e, Schematic drawings of the virtual tunnelling processes leading to the tip-induced exchange field: The molecular spin is described via a single-impurity Anderson model (SIAM)45,46. The molecular energy levels, described by the ionization energy and the Coulomb repulsion energy , lie between the electrochemical potential of the left spin-polarized tip electrode and the right sample electrode, separated by the vacuum tunnelling barrier and the MgO layer, respectively. The bias voltage moves the potential of the magnetic tip closer to the doubly occupied level for positive voltages. The polarization of the tip determines the dominating virtual tunnelling (spin up in d, spin down in e), which favour different spin states of the molecule. This leads to different , as depicted in the energy level diagrams.
Exchange-mediated SEC
In the following, we aim to explain the behaviour by the exchange interaction between the molecule and the magnetic tip, referred to as exchange bias26,29,30,38–42. Notably, the nonlinear part of emerges when the applied reaches the onset of the FePc LUMO shown in Fig. 1b. This indicates that the SEC mechanism is influenced by the unoccupied electronic states. A similar effect is found in quantum dot spin systems38–40, for instance in carbon nanotubes contacted with ferromagnetic electrodes38. The concept of exchange bias relies on virtual tunnelling processes into the excited states and was recently described in the framework of ESR–STM26,29–31. Figure 2d,e shows a schematic of the exchange bias in the tunnelling junction for two magnetic tips with opposite polarizations. In both cases, increasing raises the electrochemical potential of the tip. Subsequently, the up (down) polarization of the spin-polarized tip enhances virtual tunnelling of spin up (down) electrons into the doubly occupied state. Due to the imbalance of the spin densities in the tip electrode, the virtual tunnelling processes cause different energy corrections for the spin up and down state, which adds to the Zeeman energy. This spin-dependent energy correction can be written as38
| 2 |
Here, the first term is the exchange field component along the quantization axis of the surface spin. The spin polarization quantifies the imbalance of the density of spin up () and down electrons () and sets the direction of the observed frequency shift ascribed to the tip. The coupling between the molecule and the tip can be controlled in the experiment via the conductance setpoint , which alters the width of the vacuum barrier. is the electron charge, and accounts for a residual tip field, stemming for instance from magnetic dipole contributions. The logarithmic relation between and the energy levels of the molecule, (ionization energy) and ( is the Coulomb repulsion energy) results in a nonlinear, diverging behaviour close to these energy levels (see Extended Data Fig. 4 and Supplementary Section 6.3 for details). Using the model, we can describe the experimental data in Fig. 2a (Fig. 2b) with a positive (negative) tip polarization: In Fig. 2c, we first use equations (1) and (2) to fit the nonlinear divergence of . Here, we use the FePc HOMO level, obtained in Fig. 1b, and fix ε = 2,000 meV. We subsequently find and for positive and negative tip polarizations, respectively. The observed deviation can be explained by differences in the orbital energies for the two different molecules, together with variations in the setpoint conductance. Overall, the obtained is in good agreement with the conductance peak associated with the LUMO from Fig. 1b. Here, we attribute the difference to the observed maximum in dI/dV (Fig. 1b, ) to the onset of multiple orbital states inside the dI/dV peak (Extended Data Figs. 1 and 2 and Supplementary Sections 4 and 9). We note that the transition from molecular orbitals to the single-impurity Anderson model of the exchange bias model is not trivial. However, our DFT calculations (Extended Data Fig. 2) indicate that the spin-carrying orbital is a single orbital with strong d-character, which can be well approximated by a single-impurity Anderson model. We reproduce the data in Fig. 2a,b by performing full transport simulations, which aim to capture all features of the ESR–STM spectrum. The results are presented in Fig. 2a,b alongside the experimental data and show a close agreement in amplitude and resonance frequency of the peak (Extended Data Fig. 5). The convincing match between experiment and theory in Fig. 2a–c supports that the SEC is a result of the exchange bias mechanism outlined above.
Extended Data Fig. 4. Single Impurity Anderson Model and Exchange Bias.

a, Density of states (DOS) of the single impurity Anderson model (SIAM) with the ionization energy and the Coulomb repulsion energy . b, Schematic drawing of the tunnel junction. The energy levels from the SIAM are located between the spin-polarized tip (left) and the non-magnetic sample electrode (right). The energy barriers stemming from the vacuum and MgO are illustrated by dark grey boxes. The applied bias voltage shifts the tip’s chemical potential relative to the molecule and sample. The virtual tunneling process which mediates the exchange coupling is illustrated by the black curved arrows. c, Energy level diagram of a spin under the influence of an external magnetic field as well as for a positively spin-polarized tip (). The Zeeman splitting caused by is followed by an energy correction due to the transport mediated exchange coupling as a function of . d, Resonance frequency calculated for a spin S = 1/2 system within the SIAM as a function of . As a reference, the dashed black line shows the resonance frequency in the absence of tip field. The exchange bias features a logarithmic divergence at and .
Extended Data Fig. 5. Comparison of the ESR peak parameters.

a, Comparison between experiment and simulation for the data presented in Fig. 2a. The panels present the extracted parameters from Eq. (S1) ) to the respective frequency sweeps as a function of . The resonance frequencies obtained from the experiment are shown in red with error bars from the Fano fits. Simulation results are shown in black. The leftmost panel showing additionally includes the fit to the analytical formula presented in Eq. (2). b, Same analysis as in a, applied to the data from Fig. 2b with the experiment in blue.
Coherent spin control of molecules
To further demonstrate that a strong SEC enables all-electrical spin control, we utilize the SEC in coherent control schemes, for which we employ Fe–FePc complexes (Fig. 1a and Fig. 3a, inset). The ESR colour map in Fig. 3a shows the shift of as a function of . For the complex we also find an onset of nonlinear behaviour (Extended Data Fig. 6), while performing ESR at remains challenging. Nevertheless, the spin complex is generally easier to use in coherent control experiments than pristine FePc (see ref. 33 and Supplementary Section 5). The pulse scheme used for Rabi oscillation measurements is depicted in Fig. 3b (refs. 21,22). The resulting coherent oscillation of the spin state leads to a change in tunnel current as a function of the radio-frequency (RF) pulse duration (ref. 21):
| 3 |
Fig. 3. Spin–electric Rabi detuning on an Fe–FePc complex.

a, ESR colour map on the Fe site of an Fe–FePc complex (ESR conditions: ). The chemical structure of the Fe–FePc is overlaid on the inset topography. The added Fe atom is highlighted by a red arrow, marking the site at which the measurements shown in c and d were performed. White arrows indicate the detuning in frequency and voltage from the resonance. b, Left: schematic drawing of the Rabi pulse scheme. The RF signal consists of an RF pulse with duration and amplitude followed by an off-time . The total cycle time is kept constant, and a d.c. voltage is applied continuously for readout. Right: Bloch sphere representation of the spin evolution on resonance (orange) and off resonance (purple). c, Rabi oscillations for different frequency detuning (Rabi conditions: ). Left: colour map of as a function of and . The arrows refer to the traces shown on the right. Right: single traces on (orange) and off (purple) resonance, plotting as a function of . Solid lines are fits based on equation (3) (see Extended Data Table 1 for the parameters). Traces are vertically shifted for clarity. d, Rabi oscillations for detuning the voltage instead of (Rabi conditions: ). Left: colour map of . Right: single traces analogous to c.
Extended Data Fig. 6. Spin-electric coupling measurement on a Fe-FePc complex.

a, Waterfall plot of frequency sweeps showing as a function of for several measured on the Fe-site of a Fe-FePc complex (ESR conditions: ). The solid black lines represent Fano fits to the experimental data (purple). With changing we see a clear shift of the resonance position. b, Corresponding colormap of the data set, revealing a higher amplitude for negative voltages. c, Extracted resonance frequency over shown in red. Values and error bars are obtained from Fano fits to the frequency sweeps displayed in b. A linear fit (dashed line) ranging from to deviates at higher voltages from the experimental data. A fit using the exchange bias model (solid line) described by Eq. (2) in the main text captures the non-linear behavior at higher voltage magnitudes. The fitted parameters are: . We find and to be consistent with the values obtained from dI/dV measurements (see Fig. S4a).
With the amplitude , the Rabi rate , the Rabi phase and phase coherence time . Moreover, detuning from resonance leads to a change in both amplitude and Rabi rate of the observed oscillation:
| 4 |
Here and are the parameters at . Consequently, the Rabi oscillations can be tuned by , resulting in the typical chevron pattern (Fig. 3c). Utilizing the SEC, we now realize an all-electrical detuning via a change in voltage (Fig. 3d) while keeping . We obtain a chevron pattern as well for , in which the amplitude (Rabi rate ) decreases (increases) for increasing |. Compared with the frequency tuning, the pattern is slightly distorted. We attribute this to a linear contribution to predicted for spin resonance in the exchange bias model29,30. In addition, we expect a dependence of the amplitude with tunnelling current (see Supplementary Section 10 for details).
Coherent control of a molecule dimer
Finally, we realize the SEC detuning in a two-spin system. In Fig. 4a, two complexes are brought into proximity using tip-assisted manipulation to establish a coupled spin system. The resulting configuration (Fig. 4b) consists of a readout spin that is ferromagnetically coupled to the second spin mainly through Heisenberg exchange interaction (Extended Data Fig. 7 and Supplementary Section 11). Because the coupling is substantially smaller than the Zeeman energy, the system exhibits four distinct energy levels (Fig. 4c). The two resulting ESR transitions and (Fig. 4c,d) primarily reflect the alignments of in either |↑〉 and |↓〉 state43,44. and shift again as a function of , with the exchange bias from the tip acting on . The energy splitting remains constant across the whole voltage range, indicating that the spin–spin coupling between and is unaffected by the SEC. In the corresponding Rabi oscillation measurements (Fig. 4e), we now tune from to by changing , which leads to two chevron patterns. The weaker intensity of the left chevron arises from the low thermal population of the excited state of . Again, the SEC enables all-electrical detuning via a change in voltage (Fig. 4f). The main limitation in this approach is the increased tunnelling current at higher voltages, which induces spin relaxation and decoherence21,22. However, the bias-controlled exchange field still permits to tune from the first transition () to the second ().
Fig. 4. Spin–electric Rabi detuning in a coupled spin system.

a, Topography of two coupled Fe–FePc complexes (image conditions: ). The black dot marks the tip position of the subsequent measurements. b, Schematic drawing of the two spin ½ with their exchange coupling and the tip above the first spin . c, Schematic energy level diagram of the combined spin states with the two ESR transitions and . d, ESR colour map measured on the coupled spin system (ESR conditions: ). A single frequency sweep (right) at reveals two distinct peaks corresponding to and , that is, transitions corresponding to different spin states of the remote spin . White arrows indicate the detuning in frequency and voltage . e, Frequency detuning of Rabi oscillations (Rabi conditions: ). Left: colour map of as a function of and . The pattern shows two chevrons corresponding to the two ESR transitions. The arrows at the top refer to the single traces to the right. Right: single traces of versus for three . Solid lines show fits to the circular datapoints based on equation (3) (see Extended Data Table 1 for the parameters). The traces were shifted vertically for clarity. f, Electric detuning of Rabi oscillations, analogous to e (Rabi conditions: ). Left: colour map of showing the continuous electrical tuning from one ESR transition to the other. Right: as a function of for three different (also see Supplementary Section 12).
Extended Data Fig. 7. Coupled spin model and simulation.

a, Zeeman diagram of two coupled S = 1/2 plotting the energies of the four eigenstates corresponding to Eq. (S12) over the external magnetic field and the tip field . The tip field, causing a mismatch of the two Zeeman energies of the spins, tunes the eigenstates from mixed states to Zeeman product states. The colored arrows show the possible transitions when performing ESR on the first spin. b, Simulation of the corresponding ESR signal as a function of frequency and tip field. Besides shifting the resonances to lower values, the tuning with causes a continuous evolution between the observable transitions with all four accessible at Btip = 0.
Conclusion
Our measurements highlight that molecular spin systems can be tuned electrically via the bias voltage . In particular, the ESR measurements near the LUMO of FePc suggest that the strong nonlinear SEC arises from the exchange bias due to enhanced virtual tunnelling. While this does not exclude the existence of other contributions, our results indicate that, in the present molecular systems, exchange bias is the dominant effect. Notably, the exchange bias mechanism has several important implications. First, unlike piezoelectric models, it does not require displacement of the molecule or any of its components, which extends applicability to a broader class of molecular systems, including rigid solid-state defects. Second, it permits the integration of molecular spins into devices, where they can be readily tuned via the polarization of nearby ferromagnetic electrodes. Third, the SEC strength observed here reaches close to 30% and is substantially larger than most reported electric tuning effects for molecular spins. In this regime, the resonance peak broadens due to increased decoherence from tunnelling electrons and enhanced electrode coupling. Nevertheless, we believe that, by carefully optimizing both the junction properties and the molecular orbital structure, a good compromise between SEC and preserving spin coherence can be achieved (Extended Data Fig. 8 and Supplementary Section 13).
Extended Data Fig. 8. Operation strategy of the exchange bias.

a, from the exchange bias as a function of according to Eq. (2). b, as a function of according to Eq. (S17). c, with the maximum at marked with a red dot. (a-c) use: . d, as a function of for several coupling strengths . e, Plot of the decoherence time over the frequency shift at for different couplings to . The insets show schematic drawings of the tunnel junction illustrating a weak (left) and strong (right) coupling . f, as a function of for several . The DOS in the inset illustrates how larger shifts the energy states. g, for the values used in f.
Finally, the results in Figs. 3 and 4 demonstrate not only the feasibility of combining coherent spin control with SEC, but also the ability to electrically tune one spin relative to another with nanometre precision. This precision arises from the particularities of the exchange bias: while a pure electric field from the tip apex would still act over distances exceeding tens of nanometres, the interplay between exchange interaction and the bias voltage—mediated by the magnetic tip electrode—localizes the SEC to the subnanometre scale. Further analysis of the data in Fig. 4 shows that only the molecular spin under the tip is tuned, while the other one stays completely unaffected (Extended Data Fig. 9). Crucially, the ability to tune between two distinct spin resonances represents a key step towards conditional spin control in coupled spin systems. Consequently, the potential for tuning spin dynamics via the exchange bias paves the way for fast all-electrical gate operations in larger molecular quantum systems.
Extended Data Fig. 9. Spatial dependence of the exchange bias.

a, Colormaps of as a function of and showing the avoided level crossing of the coupled spin system at and (ESR conditions: ). The white dashed lines show the frequency position of the avoided level crossing. b, Extracted frequency shift as a function of . Values and error bars are obtained from Fano fits to the corresponding frequency sweeps. Blue: Second spin with the mean value illustrated by the straight line. Red: Shift of the first spin for different with linear fits shown as solid lines for visual aid. The inserted sketch at the top right corner reflects the measurement setup. The data shows that while the resonance frequency of the probed spin shifts with and , the resonance frequency of the coupled spin stays completely unaffected, demonstrating the strong localization of the exchange bias.
Methods
Sample preparation
Sample preparation and all experiments were carried out in a Unisoku USM1600 system with a home-built dilution refrigerator. The data shown in Figs. 1 and 2 were measured at a base temperature of , while the data in Figs. 3 and 4 were measured at 50 mK. The in situ sample preparation was performed under ultrahigh vacuum conditions with a base pressure of <5 × 10−10 mbar. The Ag(001) single crystal was first cleaned through multiple cycles of argon ion sputtering and subsequent annealing using an electron beam. MgO was grown by evaporating Mg in an oxygen-rich atmosphere (≈1 × 10−6 mbar) while maintaining the substrate at 510 °C. A deposition time of 10 min resulted in partial coverage (≈50%), with MgO islands ranging from two to five monolayers in thickness. FePc molecules were deposited onto the surface using a home-built Knudsen cell (deposition time 90 s, pressure 9 × 10−10 mbar). Afterwards, Fe atoms were deposited onto the cooled sample by electron-beam evaporation for .
Experimental set-up
For the ESR and Rabi measurements, we prepared spin-polarized tips by picking up 1–20 Fe atoms from the MgO surface. In most cases, the ESR active tips also showed strong asymmetries in dI/dV spectra around 0 V on FePc molecules due to inelastic electron tunnelling scattering. For the experiments shown, we applied the d.c. and RF voltage to the tip and corrected this to the convention that the voltage is applied to the sample. The RF signal was generated by a Rohde & Schwarz SMB100B generator and mixed with the d.c. bias voltage via a Marki Microwave MDPX-0305 Diplexer. For ESR, a magnetic field is applied perpendicular to the sample surface. The presented ESR frequency sweeps were measured with an on/off modulation at 323 Hz, where the RF voltage in continuous-wave mode was present only in the A cycle. The applied was present in both the A and B cycles and therefore applied throughout the entire measurement. During the voltage-dependent frequency sweeps, the feedback of the STM controller was turned off to keep the position of the tip the same when altering . The signal was read out via a Stanford Research Systems SR860 digital lock-in amplifier.
Data evaluation
To analyse the frequency sweeps of our experiments, we fitted the following Fano function to our resonance peaks:
| S1 |
with the amplitude , the resonance frequency , the linewidth (full width at half maximum) and the -factor, which captures the asymmetry of the resonance peak.
For the Rabi measurements presented in Figs. 3 and 4, we followed the detection scheme introduced by ref. 21: instead of a continuous-wave RF signal, we applied pulse trains (Fig. 3b) with on-time and off-time , keeping the sum () fixed. The RF pulses were only present in the A cycle and triggered with a Zurich Instruments HDAWG. Therefore, the measured signal presents an average of the spin state-related tunnel current. For each data point , the signal was averaged for 3 s. After the data acquisition, a linear background21 caused by current rectification with increasing pulse duration was subtracted.
Online content
Any methods, additional references, Nature Portfolio reporting summaries, source data, extended data, supplementary information, acknowledgements, peer review information; details of author contributions and competing interests; and statements of data and code availability are available at https://doi.org/10.1038/s41567-026-03353-w.
Supplementary information
Supplementary Sections 1–13, including Supplementary Figs. 1–14 and Table 1.
Acknowledgements
P.W. acknowledges funding from the Emmy Noether Programme of the DFG (WI5486/1-2) and financing from the Baden Württemberg Foundation Program on Quantum Technologies (Project AModiQuS). P.G. and P.W. acknowledge financial support from the Hector Fellow Academy (grant no. 700001123). C.W. acknowledges support from the Institute for Basic Science (IBS-R027-D1). P.W. and K.H.A.-Y. acknowledge support from the Center for Integrated Quantum Science and Technology (IQST). P.W. and J.S. acknowledge funding from the ERC Starting Grant ATOMQUANT. J.R.-G. acknowledges support from the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) under project no. 450396347.
Extended data
Extended Data Table 1.
Fit parameters of the Rabi measurements
| Fig. | δf | δV | A (fA) | Ω (MHz) | T2 (ns) | ϕ (°) |
|---|---|---|---|---|---|
| 3c | 0 MHz | 24 ± 4 | 33 ± 1 | 54 ± 12 | 8.5 ± 6.6 |
| -60 MHz | 4 ± 3 | 47 ± 3 | 42 ± 38 | 154 ± 31 | |
| 3d | 0 mV | 27 ± 17 | 57 ± 5 | 16 ± 10 | -29 ± 25 |
| 30 mV | 9 ± 9 | 83 ± 8 | 15 ± 13 | 56 ± 43 | |
| 4e | 0 MHz | 8 ± 5 | 51 ± 4 | 38 ± 36 | -147 ± 40 |
| 60 MHz | 17 ± 10 | 75 ± 6 | 16 ± 9 | -90 ± 29 | |
| 130 MHz | 20 ± 4 | 49 ± 2 | 36 ± 11 | -114 ± 16 | |
| 4f | 5 mV | 6 ± 4 | 49 ± 5 | 31 ± 30 | 36 ± 42 |
| -25 mV | 14 ± 8 | 63 ± 7 | 14 ± 8 | -93 ± 35 | |
| -80 mV | 20 ± 10 | 47 ± 5 | 15 ± 8 | 8 ± 22 |
Author contributions
P.G. and P.W. conceived the experiment. P.G., W.H., M.S., K.H.A.-Y., J.S., C.S., W.W. and P.W. set up the experiment and conducted the measurements. P.G., W.H., M.S., K.H.A.-Y. and P.W. analysed the experimental data. C.W. and J.R.-G. developed the exchange bias model and made the simulations with P.G. C.W. performed the DFT calculations. P.G. and P.W. wrote the paper with input from all authors. W.W. and P.W. supervised the project.
Peer review
Peer review information
Nature Physics thanks Athanassios Boudalis and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.
Funding
Open access funding provided by Karlsruher Institut für Technologie (KIT).
Data availability
All data supporting this work are available via figshare at https://doi.org/10.6084/m9.figshare.31554586 (ref. 47).
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Wantong Huang, Email: wantong.huang@kit.edu.
Christoph Wolf, Email: wolf.christoph@qns.science.
Philip Willke, Email: philip.willke@kit.edu.
Extended data
is available for this paper at https://doi.org/10.1038/s41567-026-03353-w.
Supplementary information
The online version contains supplementary material available at https://doi.org/10.1038/s41567-026-03353-w.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supplementary Sections 1–13, including Supplementary Figs. 1–14 and Table 1.
Data Availability Statement
All data supporting this work are available via figshare at https://doi.org/10.6084/m9.figshare.31554586 (ref. 47).
