46 citations · 63 across the 9 of their papers we have counts for
4 papers · 1 filter
Scaling Local Solvers with the Many-Body Expansion
Federico Zahariev, Amr Sabry
We introduce a Many-Body Expansion framework for scaling black-box solvers for discrete optimization. The method decomposes a large problem into fragments, repeatedly improves each…
From Heuristics to Machine Learning: The Performance Ceiling for Single-Ion Magnets and Its Electronic Origin
Federico Zahariev, Regina Pereyra, Vassiliki-Alexandra Glezakou +1
Machine learning (ML) is expected to speed up the discovery of single-ion magnets (SIMs), but does the structural information available before synthesis allow such predictions? For…
Beyond Orbital Rotations: Correlation-Rank Limits and Clifford-Accessible Measurement, from Algebra and Global Optimization
Federico Zahariev, Vanda Glezakou
One should not assume that reconstructing an electronic observable with a smaller set of measurement settings will cut the number of repetitions in proportion. Each setting is simp…
Certified Bounds on the Measurement Cost of Molecular Hamiltonians
Federico Zahariev, Vanda Glezakou
Quantum estimates of molecular energy require repeated state preparation and measurement. We bound the minimum repetition count for given measurements and processing rules from abo…