4 papers
Factorizing binary tensors into quantics tensor trains
Paul Haubenwallner, Matthias Heller
The conversion of functions to quantics tensor trains is a well-established procedure and can either be done analytically or numerically. Numerical conversion schemes are based on…
trainsum -- A Python package for quantics tensor trains
Paul Haubenwallner, Matthias Heller
We present trainsum, a versatile Python package for doing computations with multidimensional quantics tensor trains: https://github.com/fh-igd-iet/trainsum. Using the Array API sta…
Reduced Sampling Overhead for Probabilistic Error Cancellation by Pauli Error Propagation
Timon Scheiber, Paul Haubenwallner, Matthias Heller
Quantum error mitigation is regarded as a possible path to near-term quantum utility. The methods under the quantum error mitigation umbrella term, such as probabilistic error canc…
Fully numerical Hartree-Fock calculations for atoms and small molecules with quantics tensor trains
Paul Haubenwallner, Matthias Heller
We present a fully numerical framework for the optimization of molecule-specific quantum chemical basis functions within the quantics tensor train format using a finite-difference…