3 papers
quant-ph2026
Optimal randomized measurements for a family of non-linear quantum properties
Zhenyu Du, Yifan Tang, Andreas Elben +3
Quantum learning encounters fundamental challenges when estimating non-linear properties, owing to the inherent linearity of quantum mechanics. Although recent advances in single-c…
quant-ph2025
Alleviating the quantum Big- problem
Edoardo Alessandroni, Sergi Ramos-Calderer, Ingo Roth +2
A major obstacle for quantum optimizers is the reformulation of constraints as a quadratic unconstrained binary optimization (QUBO). Current QUBO translators exaggerate the weight…
cs.IT2024
Bisparse Blind Deconvolution through Hierarchical Sparse Recovery
Axel Flinth, Ingo Roth, Gerhard Wunder
The hierarchical sparsity framework, and in particular the HiHTP algorithm, has been successfully applied to many relevant communication engineering problems recently, particularly…