And joining the #quantum meme wave on Bluesky — here’s one that captures the spirit of our paper!

By enabling a single quantum routine to capture an entire excitation band, our approach paves the way for efficient, scalable simulations of strongly correlated materials —where decoding quasiparticle behaviour is often the key to revealing new quantum phases and guiding future technologies.

This efficiency comes from the unitary nature of quantum evolution, which preserves probabilities and phase relationships. By leveraging symmetry and conservation laws, we were able to structure the computation to solve for multiple momentum states at once—a feature we call quantum parallelism.

We show that a quasiparticles inherently encodes information about the entire energy band they belong to. This means that a single VQE run can provide access to an entire excitation spectrum, a major departure from classical approaches that require solving for each momentum state separately.

Our research explores whether quantum devices can provide a new way to simulate quasiparticles. We used a quantum algorithm called the Variational Quantum Eigensolver (VQE) to study quasiparticles arising in the Transverse Field Ising Model (TFIM)—a simple but powerful model of magnetism.

Most experimental techniques, like STM and neutron scattering probe quasiparticles, making them essential for interpreting data and predicting new quantum phenomena. However, computing quasiparticle properties using classical methods can be challenging, especially in strongly interacting systems.

Quantum materials exhibit fascinating collective behaviors that go beyond those of individual electrons. Many of these phenomena can be understood in terms of quasiparticles—emergent entities that act like particles but are actually collective excitations of many interacting quantum particles.