analiza aiqbench

Researchers from The Barcelona Institute of Science and Technology have introduced a scalable protocol for learning time-dependent Hamiltonians in quantum processors by leveraging interaction sparsity. This approach decomposes complex global reconstruction tasks into localized calculations using continuous weak measurements, significantly reducing computational demands on systems up to eight qubits. Such advances are critical for improving the calibration and control fidelity of evolving quantum hardware.