Pushing the boundary of quantum advantage in hard combinatorial optimization with probabilistic computers

Abstract Recent demonstrations on specialized benchmarks have reignited excitement for quantum computers, yet their advantage for real-world problems remains an open question. Here, we show that probabilistic computers, co-designed with hardware to implement Monte Carlo algorithms, provide a scalabl...

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Hlavní autoři:	Shuvro Chowdhury, Navid Anjum Aadit, Andrea Grimaldi, Eleonora Raimondo, Atharva Raut, P. Aaron Lott, Johan H. Mentink, Marek M. Rams, Federico Ricci-Tersenghi, Massimo Chiappini, Luke S. Theogarajan, Tathagata Srimani, Giovanni Finocchio, Masoud Mohseni, Kerem Y. Camsari
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-10-01
Edice:	Nature Communications
On-line přístup:	https://doi.org/10.1038/s41467-025-64235-y
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