From the 1 of 2 linked papers with an AI index.
2 papers
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
Ground-state estimation of the Heisenberg model on frustrated lattices with Sample-based Krylov Quantum Diagonalization
Calvin Brooks, Henry Zou, Trevor David Rhone
Quantum spin simulations of frustrated lattices remain challenging for both classical and quantum algorithms, particularly in parameter regimes relevant to quantum spin liquid (QSL…