In the proposed setup, each electron passes through the microscope and interacts with ions held in place along the beam's path. That interaction entangles the electron and the ion, creating a shared quantum state.

"Quantum physics allows us to overcome the statistical limits that constrain conventional electron microscopes," says Elias Pescoller, first author of the project paper and a doctoral student at TU Wien.

Subsequent electrons can each entangle with the same trapped-ion system. Carefully designed quantum operations then merge information from many electrons into a signal strong enough to read.

"If we perform very specific quantum-computing operations each time, we can optimally combine the information from several electrons so that we obtain a signal of maximum strength even though we use only a relatively small number of electrons," says Dennis Rätzel of TU Wien.

What would this mean for samples and images?

In plain terms, faint details that would look like random noise in a conventional detector could resolve into a clear signal.

"What would previously have been indistinguishable from random noise can thus become a clear signal," says Iva Březinová of TU Wien's Institute for Theoretical Physics.

The potential payoff goes beyond image clarity. Imaging with fewer electrons means less radiation damage to fragile structures such as proteins, viruses, and some polymers. Researchers studying these samples often trade resolution against sample survival today.

How far along is the project?

The method exists as a mathematical proof rather than a finished instrument. The team published its proposal on arXiv on January 16, 2026 (DOI: 10.48550/arXiv.2601.11446). Building the physical apparatus is the next milestone.

The trapped-ion quantum computer comes from Philipp Schindler's team at the University of Innsbruck. Kofler's group at JKU Linz developed the quantum algorithms that combine information from successive electrons.

"It is really exciting that, within the quantA Cluster of Excellence, we can combine the expertise in quantum information, quantum computing and electron microscopy available at the different universities in Austria," says Thomas Juffmann of the University of Vienna. "This allows us to launch a unique project."

Funding flows through the Austrian Science Fund (FWF) under the Cluster of Excellence quantA, with additional support from the Gordon and Betty Moore Foundation.

What remains uncertain?

The principle is sound on paper. Whether the hybrid system actually outperforms state-of-the-art electron microscopes in a real lab is still unknown. Researchers must integrate the ion trap with the electron column, control noise, and verify that the theoretical gains survive practical conditions.

If those demonstrations succeed, the same entanglement-based readout could eventually pair with advanced electron sources and detectors already in use. Until then, the concept remains a promising blueprint rather than a benchmark.