Researchers have built a new type of spin transistor using chromium sulfide bromide (CrSBr)

Researchers have built a new type of spin transistor using chromium sulfide bromide, or CrSBr, a two-dimensional antiferromagnetic semiconductor. The device, a monolayer-bilayer junction, exhibits significant, gate-tunable magnetoresistance achieved through a combination of electrostatic doping and interlayer exchange coupling; this mechanism differs from vertical tunneling devices. The team visualized a layer-sharing effect that selects between coherent or domain-wall reversal at the spin-flip transition, enabling multilevel, memristive conductance states and offering a path toward non-volatile computing. This layer-dependent space charge mechanism for combined electrical and magnetic control opens opportunities to address limitations in current computing architectures. These findings were detailed in a publication released on July 22, 2026.

CrSBr, a two-dimensional antiferromagnetic semiconductor, forms the basis of a novel spin transistor design integrating transistor-like functionality with potential for non-volatile memory. This architecture exhibits significant, gate-tunable magnetoresistance resulting from electrostatic doping influencing lateral conduction alongside interlayer exchange coupling; the combined effect allows for substantial control over electrical current via magnetic fields. The team visualized a layer-sharing effect at the spin-flip transition, enabling multilevel, memristive conductance states. The ability to select between coherent or domain-wall reversal offers a surprising degree of control over the device’s magnetic properties. This approach to spin-based electronics leverages the unique properties of CrSBr to achieve both electrical and magnetic control within a single device, opening opportunities for advanced computing architectures and memory storage solutions. The work demonstrates a path toward integrating logic and memory functions, potentially streamlining data processing and reducing energy consumption.

Researchers are now directly visualizing conductance mechanisms within novel two-dimensional spin transistors using nitrogen-vacancy center magnetic imaging; this technique reveals how electrical and magnetic control converge at the nanoscale. Our layer-dependent space charge mechanism for combined electrical and magnetic control opens opportunities to address limitations in contemporary computing. The study demonstrates the ability to achieve multilevel conductance states, a functionality enabled by a layer-sharing effect that selects between coherent or domain-wall reversal at the spin-flip transition, allowing the device to switch between coherent electron transport and domain-wall reversal.

Stay current

See today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals.

Avatar of Ivy Delaney

Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

Latest Posts by Ivy Delaney: