VU Physicists Join Effort to Control Ultracold Dysprosium, Potassium, Ytterbium

Physicists at Vilnius University (VU) are joining an international effort to build quantum simulators using dysprosium, potassium, and ytterbium, ultracold atoms selected to unlock the secrets of complex quantum materials. The project, titled QUASIMODO (QUAntum SImulations with MulticOmponent ultracolD atOms), aims to overcome limitations of conventional computers by recreating difficult-to-model physical phenomena. “Quantum simulations with multicomponent ultracold atoms make it possible to recreate physical phenomena that would otherwise be hard to access,” says VU Distinguished Professor Gediminas Juzeliūnas, adding that the collaboration is also important for Lithuania as it establishes itself in quantum-technology research. By combining synthetic dimensions, dark-state engineering, and dynamical gauge fields, the QUASIMODO team hopes to create more stable and reliable quantum technologies and highly precise sensors.

Multicomponent Ultracold Atoms for Quantum Simulation

Researchers are now leveraging the unique properties of multicomponent ultracold atoms to construct quantum simulators capable of modeling physical phenomena beyond the reach of traditional computers. The QUASIMODO project (QUAntum SImulations with MulticOmponent ultracolD atOms) specifically focuses on harnessing dysprosium, potassium, and ytterbium to create these advanced simulation platforms, allowing scientists to investigate complex quantum materials with increased control. This approach addresses a critical limitation of current quantum simulators, which are often hampered by decoherence, the loss of fragile quantum states essential for computation and information processing. Vilnius University physicists are contributing theoretical expertise and high-performance computing to the project, focusing on synthetic gauge fields and spin squeezing, with each concept rigorously tested across three experimental platforms operated by partner institutions.

This international collaboration, uniting six research teams from five countries, builds upon a history of successful partnerships, including the QuantERA project DYNAMITE. Researchers say the ultimate goal is to demonstrate robust topological phases and strongly squeezed spin states, establishing multicomponent ultracold atoms as a cornerstone for building dependable quantum technologies and highly precise sensors. “What excites me most is the close integration of our theoretical models with experiments,” says Prof. Juzeliūnas, “which will finally allow us to directly measure complex quantum entanglement in these systems.”

Quantum simulations with multicomponent ultracold atoms make it possible to recreate physical phenomena that would otherwise be hard to access, and in this project, we will combine this with state-of-the-art experiments.

QUASIMODO Project: Synthetic Dimensions & Dark-State Engineering

The pursuit of stable quantum simulations is increasingly focused on mitigating decoherence, the process that destroys the delicate entanglement crucial for quantum computation and sensing; current simulators struggle with this instability. Researchers are not simply increasing computational power, but fundamentally altering how quantum states are manipulated and maintained within the simulation itself. Central to this effort is the utilization of specific ultracold atoms: dysprosium, potassium, and ytterbium. The team intends to encode synthetic dimensions within the atoms’ spins, a technique expected to yield larger topological band gaps and reduce laser-induced losses in dark-state optical lattices. This innovative approach differs from many competing projects globally, offering a potentially more robust pathway to reliable quantum technologies.

What excites me most is the close integration of our theoretical models with cutting-edge experiments, which will finally allow us to directly measure complex quantum entanglement in these systems.

Vilnius University physicists are integral to an ambitious international effort focused on directly measuring complex quantum entanglement within specially designed quantum simulators. This innovative methodology also introduces entanglement-based observables, a new diagnostic tool for directly measuring many-body correlations.

It uses synthetic dimensions encoded in the atoms’ spins, allowing for significantly larger topological band gaps and dark-state optical lattices with considerably lower laser-induced losses.

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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.

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