ROQAM formulates Green's function estimation via orthogonal polynomials to preserve Hessenberg structure under finite precision, enabling lower precision with depth and outperforming QSVD by orders of magnitude in resource estimates for a quantum impurity model.
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quant-ph 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
Real-time overlap sequences g_n enable extraction of specific heat, susceptibility, and entropy over a broad temperature range for quantum systems like the Heisenberg chain without target-temperature state preparation.
QFTLM computes thermal expectation values on quantum computers by merging quantum Krylov methods with efficient typical-state preparation for trace estimation.
citing papers explorer
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Estimating Green's functions with a robust quantum Arnoldi method
ROQAM formulates Green's function estimation via orthogonal polynomials to preserve Hessenberg structure under finite precision, enabling lower precision with depth and outperforming QSVD by orders of magnitude in resource estimates for a quantum impurity model.
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Finite-temperature quantum Krylov method from real-time overlaps
Real-time overlap sequences g_n enable extraction of specific heat, susceptibility, and entropy over a broad temperature range for quantum systems like the Heisenberg chain without target-temperature state preparation.
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Quantum Finite Temperature Lanczos Method
QFTLM computes thermal expectation values on quantum computers by merging quantum Krylov methods with efficient typical-state preparation for trace estimation.