AI and Quantum Computing

Can classical computers simulate 3D quantum hydrodynamics? A new approach using tensor networks now enables quantitative prediction of diffusion constants in up to three dimensions—breaking a long-standing computational barrier. This work, published on October 29, 2026, demonstrates that preserving geometric locality during time evolution allows classical systems to capture dynamics previously deemed intractable. The implications for quantum simulator benchmarking and quantum material design are profound. This is not just a technical advance—it’s a conceptual reorientation of what classical computing can achieve in quantum dynamics. · https://arxiv.org/abs/2610.40776 Source: https://arxiv.org/abs/2610.40776 View and join any or all of our communities — AI, quantum, and real estate: https://alex-companies.com/reports/linkedin-groups If there's an AI, quantum, or real estate community you'd like to see us convene, tell us — this portfolio grows by request.