Energy eigenvalues of a Hamiltonian can be extracted from real-time correlator matrices via a generalized eigenvalue problem, and the method outperforms Fourier analysis on a quantum computer.
Sigma models on quantum computers
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
We formulate a discretization of sigma models suitable for simulation by quantum computers. Space is substituted by a lattice, as usually done in lattice field theory, while the target space (a sphere) is replaced by the "fuzzy sphere", a construction well known from non-commutative geometry. Contrary to more naive discretizations of the sphere, in this construction the exact $O(3)$ symmetry is maintained, which suggests that the discretized model is in the same universality class as the continuum model. That would allow for continuum results to be obtained for very rough discretizations of the target space as long as the space discretization is made fine enough. The cost of performing time-evolution, measured as the number of CNOT operations necessary, is $12 L T/\Delta t $, where $L$ is the number of spatial sites, $T$ the maximum time extent and $\Delta t$ the time spacing.
citation-role summary
citation-polarity summary
fields
quant-ph 1years
2026 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Hamiltonian spectra in quantum computers through the generalized eigenvalue method
Energy eigenvalues of a Hamiltonian can be extracted from real-time correlator matrices via a generalized eigenvalue problem, and the method outperforms Fourier analysis on a quantum computer.