Örs Legeza

Short CV

Prof. Örs Legeza is the head of the Strongly Correlated Systems “Lendület” research group as well as a scientific advisor at the Wigner Research Centre for Physics of the Hungarian Academy of Sciences in Budapest. He received his PhD from the Budapest University of Technology and Economics in 1997 and joined the Institute for Solid State Physics and Optics of the Hungarian Academy of Sciences afterwards (which has since merged into the Wigner Research Centre for Physics). At the same time, he spent time at various European institutions such as FAU at Erlangen-Nuremberg, ETH Zurich or LMU Munich (as an Alexander von Humboldt awardee). He is currently also a visiting professor at Philipps University Marburg, Germany.

Selected Awards

  • 2021, Academy Prize of the Hungarian Academy of Sciences
  • 2018, Humboldt Research Award of the Alexander von Humboldt Foundation
  • 2012, Lendület Award of the Hungarian Academy of Sciences
  • 2009, Bolyai Plaquette Award of the Hungarian Academy of Sciences
  • 2005, Gombás Pál Award of the Hungarian Physical Society
  • 2003, Young Researcher Award of the Hungarian Academy of Sciences
  • 2000, Bolyai János Award and Research Scholarship of the Hungarian Academy of Sciences

Research Interests

Örs Legeza’s main research interests focus on the development of novel tensor network state (TNS) methods and their application to strongly correlated quantum many-body systems to simulate and study magnetic properties in solid states, exotic quantum phases, complex molecular clusters, ultracold atomic systems or nuclear structures. For the method development he combines established methods for simple networks (MPS, MERA, tensor trees) with concepts from quantum information theory and computational mathematics to push the current frontier of moderate system size to much larger and more complex systems.

Selected Publications

  • V. Ivády, G. Barcza, G. Thiering, S. Li, H Hamdi, J-P. Vhou, Ö. Legeza, A Gali, Ab initio theory of negatively charged boron vacancy qubit in hBN, npj Computational Materials volume 6, Article number:41 (2020)
  • I. Shapir, A. Hamo, S. Pecker, C.P. Moca, Ö. Legeza, G. Zarand, S. Ilani, Imaging the Wigner Crystal of Electrons in One Dimension , Science Vol. 364, Issue 6443, pp. 870-875 (2019)
  • F.M. Faulstich, A. Laestadius, Ö. Legeza, R. Schneider, S. Kvaal, Analysis of The Coupled-Cluster Method Tailored by Tensor-Network States in Quantum Chemistry ,  SIAM J. Numer. Anal. 57, 2579 (2019)
  • K. Gunst, F. Verstraete, S. Wouters, Ö. Legeza, D. Van Neck, T3NS: three-legged tree tensor network states , J. Chem. Theory Comput., J. Chem. Theory Comput. 14, 4, 2026–2033, (2018)
  • C. Krumnow, L. Veis, Ö. Legeza , J. Eisert, Fermionic orbital optimisation in tensor network states, Phys. Rev. Lett. 117, 210402 (2016)
  • L. Veis, A. Antalik, F. Neese, Ö. Legeza, J. Pittner, Coupled cluster method with single and double excitations tailored by matrix product state wave functions, Journal of Physical Chemistry Letters, 7 (20) 4072-4078 (2016)
  • Ö. Legeza, L. Veis, A. Poves, J. Dukelsky, Advanced density matrix renormalization group method for nuclear structure calculations PHYSICAL REVIEW C RAPID COM 92:(5) 051303. 5 p. (2015)
  • Sz. Szalay, M. Pfeffer, V. Murg, G. Barcza, F. Verstraete, R. Schneider, Ö. Legeza, Tensor product methods and entanglement optimization for ab initio quantum chemistry, INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY 115:(19) pp. 1342-1391. (2015)
  • S. Knecht, Ö. Legeza, M. Reiher, Communication: Four-component density matrix renormalization group, JOURNAL OF CHEMICAL PHYSICS 140:(4) 041101. 5 p. (2014)
  • Ö. Legeza and J. Sólyom, Two-site entropy and quantum phase transitions in low-dimensional models, PHYSICAL REVIEW LETTERS 96:(11) 116401. 4 p. (2006)
  • Ö. Legeza and J. Sólyom, Optimizing the density-matrix renormalization group method using quantum information entropy, PHYSICAL REVIEW B CONDENSED MATTER (1978-1997) 68:(19) 195116. 9 p. (2003)