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quant-ph2025
Hybrid Tree Tensor Networks for quantum simulation
Julian Schuhmacher, Marco Ballarin, Alberto Baiardi +4
Hybrid Tensor Networks (hTN) offer a promising solution for encoding variational quantum states beyond the capabilities of efficient classical methods or noisy quantum computers al…
quant-ph2024
Quantum computing in spin-adapted representations for efficient simulations of spin systems
Anthony Gandon, Alberto Baiardi, Max Rossmannek +2
Exploiting inherent symmetries is a common and effective approach to speed up the simulation of quantum systems. However, efficiently accounting for non-Abelian symmetries, such as…
quant-ph2024
More quantum chemistry with fewer qubits
Jakob Günther, Alberto Baiardi, Markus Reiher +1
Quantum computation is one of the most promising new paradigms for the simulation of physical systems composed of electrons and atomic nuclei, with applications in chemistry, solid…