5 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…
Exploring Quantum Annealing for Coarse-Grained Protein Folding
Timon Scheiber, Matthias Heller, Andreas Giebel
We explore the potential application of quantum annealing to address the protein structure problem. To this end, we compare several proposed ab initio protein folding models for qu…
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…