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    Projected density matrix sampling for lattice Hamiltonians

    Abhishek Karna1,*, Hansen S. Wu2,†, Shailesh Chandrasekharan1,‡, and Ribhu K. Kaul2,§

    • *Contact author: abhishek.karna@duke.edu
    • †Contact author: hsw5129@psu.edu
    • ‡Contact author: sch27@duke.edu
    • §Contact author: ribhu.kaul@psu.edu

    Phys. Rev. D 113, 074511 – Published 15 April, 2026

    DOI: https://doi.org/10.1103/gtbl-vsdt

    Abstract

    Quantum Monte Carlo methods are powerful tools for studying quantum many-body systems but face difficulties in accessing excited states and in treating sign problems. We present a continuous-time path-integral Monte Carlo method for computing the low-lying spectrum of generic quantum Hamiltonians within a projection subspace. The method projects the thermal density matrix onto a subspace spanned by a chosen set of linearly independent states. It is free of Trotter discretization errors and systematically converges to the low-energy states which have finite overlap with the projection subspace as the β parameter increases. While most effective for systems without a sign problem, the method also yields information about low-energy spectra when sign problems are present. We illustrate the approach on two problems. For the sign-free case, we compute the first four low-energy levels in the scaling limit of the one-dimensional Ising model with both transverse and longitudinal fields, demonstrating the flow from the conformal limit to the massive E8 quantum field theory. For the sign-problem case, we apply the method to the frustrated Shastry-Sutherland model and benchmark it against exact diagonalization on small lattices. We also present results for larger systems beyond the lattice sizes accessible to exact diagonalization, while limited to small β where sign problems occur. Our method provides a general route toward quantum Monte Carlo spectroscopy for lattice Hamiltonians.

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