The paper proposes an eigenstate filtering (EF) variant of quantum inverse power iteration (QIPI) that uses symmetric QSVT polynomials to robustly target excited states, showing better convergence than Chebyshev or Fourier approaches on H2, LiH, and BeH2.
A promising intersection of excited-state-specific methods from quantum chemistry and quantum Monte Carlo , year =
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
A reorganized Hartree-Fock framework imposes tunable orbital locality by pairing local degrees of freedom with local solution conditions, maintaining efficient SCF optimization and competitive reaction-energy accuracy.
A structure-preserving low-rank factorization of 2RDMs achieves linear rank scaling with system size and ~99% compression while retaining chemical accuracy for correlated states.
citing papers explorer
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Efficient targeting of arbitrary excited states with quantum inverse power iteration through filtering polynomials
The paper proposes an eigenstate filtering (EF) variant of quantum inverse power iteration (QIPI) that uses symmetric QSVT polynomials to robustly target excited states, showing better convergence than Chebyshev or Fourier approaches on H2, LiH, and BeH2.
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Approximating Hartree-Fock theory via an efficiently local reformulation
A reorganized Hartree-Fock framework imposes tunable orbital locality by pairing local degrees of freedom with local solution conditions, maintaining efficient SCF optimization and competitive reaction-energy accuracy.
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Low-rank compression of two-electron reduced density matrices
A structure-preserving low-rank factorization of 2RDMs achieves linear rank scaling with system size and ~99% compression while retaining chemical accuracy for correlated states.