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Coupling free electrons to a trapped-ion quantum computer

Elias Pescoller, Santiago Beltrán-Romero, Sebastian Egginger, Nicolas Jungwirth, Martino Zanetti, Dominik Hornof, Michael S. Seifner, Iva Březinová, Philipp Haslinger, Thomas Juffmann, Johannes Kofler, Philipp Schindler, Dennis Rätzel

Abstract

Freely propagating electrons may serve as quantum probes that can become coherently correlated with other quantum systems, offering access to advanced metrological resources. We propose a setup that coherently couples free electrons in an electron microscope to a trapped-ion quantum processor, enabling non-destructive, quantum-coherent detection and the accumulation of information across multiple electrons. Our analysis shows that single electrons can induce resolvable qubit excitations, establishing a platform for practical applications such as quantum-enhanced, dose-efficient electron microscopy.

Coupling free electrons to a trapped-ion quantum computer

Abstract

Freely propagating electrons may serve as quantum probes that can become coherently correlated with other quantum systems, offering access to advanced metrological resources. We propose a setup that coherently couples free electrons in an electron microscope to a trapped-ion quantum processor, enabling non-destructive, quantum-coherent detection and the accumulation of information across multiple electrons. Our analysis shows that single electrons can induce resolvable qubit excitations, establishing a platform for practical applications such as quantum-enhanced, dose-efficient electron microscopy.
Paper Structure (7 sections, 59 equations, 5 figures)

This paper contains 7 sections, 59 equations, 5 figures.

Figures (5)

  • Figure 1: (a) A transmission electron microscope (TEM). Within a plane conjugate to the specimen plane, a trapped-ion quantum computer is inserted. (b) The electron $e^-$ couples to the ionic center-of-mass degree of freedom via the Coulomb interaction (scattering matrix $\hat{S}$). If the ion is prepared in a superposition of coherent states, the electron induces a relative phase shift between these states. (c) The figure shows a simplified level diagram of ^40Ca+ with the relevant transitions used to encode the qubit. The center-of-mass degree of freedom of the ion is coupled to the 4S$_{1/2}$ and 3D$_{5/2}$ states of the valence electron (qubit degree of freedom) via the application of bichromatic laser pulses (red- and blue-detuned transitions in the figure). The rapidly decaying fluorescent transition from 4P$_{1/2}$ to 4S$_{1/2}$ is used to perform projective readout of the qubit state.
  • Figure 2: (a) The phase shift $\Delta\phi(b)$ (Eq. \ref{['eq:action_on_coherent']}), assuming $\delta_{{\mathbf{r_\perp}}} \ll R_0$, of the combined electron-ion wavefunction due to the interaction with impact parameter $b$ compared to the corresponding phase shift $\Delta\phi(0)$ when the electron is focused to the center of the harmonic trap. (b) The probability $P_\text{scat}=1-\abs*{ \mathcal{S}({\mathbf{r}}_\perp,\boldsymbol{\upalpha}) }^2$, assuming $\delta_{{\mathbf{r_\perp}}} \ll R_0$, for the ion to be scattered out of the state $\ket{\boldsymbol{\upalpha}}_\text{cmi}$ upon impact of an electron as a function of the impact parameter $b$.
  • Figure 3: The plot shows the probabilities to find the qubit in the state $\ket{1}$ after the interaction with an electron of different energies as a function of the cat state size $\alpha$. It is assumed that the qubit is initially prepared in the state $\ket{0}$. The dashed line indicates $\abs*{\boldsymbol{\upalpha}}=6.5$, which has already been demonstrated experimentally wu2025infraredabsorptionspectroscopysingle.
  • Figure 4: The change in the final electronic state for a focused electron beam of 100 eV ($v_\text{el}\sim 3$) measured in terms of $\eta$ (Eq. \ref{['eq:electronic_overlap']}) as a function of the relative probe size $\sqrt{\chi}=\sqrt{2}\delta_{{\mathbf{r_\perp}}}/R_0$ and the impact parameter $b =\abs*{{\mathbf{b}}}$.
  • Figure 5: Top: Comparison of the expected $F(\phi)$ given by $n^2(1-\epsilon)^n$ for $\epsilon=0.01$ to the SQL $n$ and the HL $n^2$ as a function of the number of electrons $n$. Bottom: Depending on the probability of electron loss $\epsilon$, we show two functions. First, the ideal number of electrons, which is given by rounding $n^*=\frac{-1}{\log(1-\epsilon)}$. Second, inserting this value back into the expected ratio of obtained $F(\phi)$ and SQL, $g_{\text{FI}}(n^*)$, which quantifies the quantum advantage.