collaborators

13 papers

quant-ph2026

Computing noise-canceling observables via Pauli propagation

Andrew Eddins, Caleb Johnson, Alberto Baiardi +8

The pursuit of quantum advantage is driving the co-evolution of quantum processors and classical simulation methods. Despite advances in scale and quality, the accuracy of quantum…

quant-ph2026

Setting angles in quantum approximate optimization at utility-scale

Maosheng Guo, Joel Jurado Diaz, Anurag Ramesh +16

The quantum approximate optimization algorithm (QAOA) is a powerful heuristic that seeks to solve combinatorial optimization problems using quantum hardware and classical optimizat…

quant-ph2026

Combining non-parametric quantum states and MERA tensor networks for ground-state optimization

Julian Schuhmacher, Alberto Baiardi, Francesco Tacchino +1

Hybrid tensor networks offer a promising route to enhance the expressivity of classical tensor network methods by incorporating quantum states prepared on a quantum computer. Exist…

quant-ph2026

Bowtie VarQTE: A Resource-Efficient Quantum State Preparation Primitive

Marc Drudis, Alberto Baiardi, Mattia Chiurco +3

The preparation of quantum states is a fundamental requirement for many quantum algorithms. A native route to preparing physically structured states is based on short-time simulati…

cond-mat.mes-hall2026

On-surface synthesis and aromaticity of large cyclocarbons

Lisanne Sellies, Marco Vitek, Yueze Gao +12

Molecular rings of N carbon atoms, that is, cyclo[N]carbons, or C, can be formed by tip-induced chemistry [1-7]. Because of their monocyclic geometry, cyclocarbons are fundamen…

quant-ph2026

Exploring pathways towards quantum advantage in quantum chemistry: the case of a molecule with half-Möbius topology

Samuele Piccinelli, Stefano Barison, Alberto Baiardi +8

We report quantum chemistry calculations performed on superconducting quantum processors for a molecule exhibiting the half-Möbius electronic topology originally introduced by Ron…