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This research introduces a novel framework using reduced fidelity susceptibility to map quantum phase transitions without requiring prior knowledge of order parameters. By analyzing vector fields derived from small subsystems, the method successfully identifies phase boundaries and stable states across diverse models like Rydberg atom chains and cluster states. This advancement offers a unified, data-driven approach to characterizing complex quantum systems that could accelerate discovery in quantum materials and simulation.

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New method finds hidden order in quantum systems

Quantum ZeitgeistSeptember 29, 20264 min read

Identifying phase transitions in complex quantum systems is difficult without knowing the underlying order, but new research unveils a method to map these transitions using reduced fidelity susceptibility.

Researchers have developed a new method to map quantum phase transitions using the vector field of the reduced fidelity susceptibility (RFS), a technique that requires no prior knowledge of the system’s order parameters. Nicola Mariella of IBM Research – Dublin and colleagues applied this approach to three distinct quantum models, the Axial Next Nearest Neighbour Interaction (ANNNI) model, a cluster state model, and a chain of Rydberg atoms, demonstrating its versatility beyond single systems. The…

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