19 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Helsinki Institute of PhysicsFI2 papers
- BMW Group (Germany)DE1 paper
- Danish Medicines AgencyDK1 paper
- Institute of Theoretical and Applied InformaticsPL1 paper
- Istituto Nazionale di Fisica Nucleare, Sezione di PaviaIT1 paper
- Kanya Maha VidyalayaIN1 paper
- King Fahd University of Petroleum and MineralsSA1 paper
- Norwegian Association for Development ResearchNO1 paper
- Norwegian Mapping AuthorityNO1 paper
- NRK (Norway)NO1 paper
- Polish Academy of SciencesPL1 paper
- Tata Consultancy Services (India)IN1 paper
6 papers
Tree Tensor Networks Methods for Efficient Calculation of Molecular Vibrational Spectra
Shuo Sun, Richard M. Milbradt, Stefan Knecht +2
We develop and employ general Tree Tensor Networks (TTNs) to compute the vibrational spectra for two model systems: a set of 64-dimensional coupled oscillators and acetonitrile. We…
Practical techniques for high-precision measurements on near-term quantum hardware and applications in molecular energy estimation
Keijo Korhonen, Hetta Vappula, Adam Glos +6
Achieving high-precision measurements on near-term quantum devices is critical for advancing quantum computing applications. Quantum computers suffer from high readout errors, maki…
MapAI: Precision in Building Segmentation
Sander Riisøen Jyhne, Morten Goodwin, Per Arne Andersen +5
MapAI: Precision in Building Segmentation is a competition arranged with the Norwegian Artificial Intelligence Research Consortium (NORA) in collaboration with Centre for Artificia…
Classification and transformations of quantum circuit decompositions for permutation operations
Ankit Khandelwal, Handy Kurniawan, Shraddha Aangiras +2
Efficient decomposition of permutation unitaries is vital as they frequently appear in quantum computing. In this paper, we identify the key properties that impact the decompositio…
Four-component relativistic calculations in a multiwavelet basis with improved convergence
Jacopo Masotti, Roberto Di Remigio Eikås, Christian Tantardini +1
We revive an approach to solve the Dirac equation originally proposed by Kutzelnigg which makes use of the squared Dirac operator . This approach holds the…
Quantum State Reconstruction in a Noisy Environment via Deep Learning
Angela Rosy Morgillo, Stefano Mangini, Marco Piastra +1
Quantum noise is currently limiting efficient quantum information processing and computation. In this work, we consider the tasks of reconstructing and classifying quantum states c…