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quant-ph2026
Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks
Maggie Bao, Rushil Dandamudi, Jerimiah Wright +4
The paper benchmarks classical tensor‑network methods (DMRG) against NISQ quantum algorithms (VQE and SQD) for computing ground‑state energies of the Lipkin‑Meshkov‑Glick model, pr…
quant-ph2026
Hybrid Quantum-Classical Machine Learning Algorithms for Multi-Output Time-Series Forecasting at Utility Scale
Mackenson Polché, Varun Puram, Aditi Lal +6
Multi-output time-series forecasting in energy systems is challenging because of nonlinear dynamics, multi-scale seasonality, and strong dependencies across correlated series. In t…