Guifré Vidal is a physicist whose research focuses on developing efficient methods, known as tensor networks, to simulate quantum many-body systems on a classical computer.
His tensor network proposals include the multi-scale entanglement renormalization ansatz (MERA).
MERA uses concepts and tools from quantum information and computation (such as quantum entanglement and quantum circuits) to implement a modern version of Wilson’s renormalization group flow on quantum spin chains. Originally developed to study quantum critical systems, over the years MERA has also found applications on a broader range of disciplines, from statistical mechanics to error correction, from quantum chemistry to applied mathematics, from quantum gravity and holography to machine learning.
Marie Curie Postdoctoral Fellowship (1999-2001), European Union
Sherman Fairchild Postdoctoral Fellowship (2003-2005), United States of America
Federation Fellowship (2006-2011), Australian Research Council, Australia
Distinguished Research Chair (2010-2011), Perimeter Institute for Theoretical Physics, Canada
G. Vidal, J.I. Latorre, E. Rico, A. Kitaev. “Entanglement in quantum critical phenomena.” Phys. Rev. Lett. 90 (22), 227902 (2003), quant-ph/0211074
G. Vidal. “Efficient classical simulation of slightly entangled quantum computations.” Phys. Rev. Lett. 91, 147902 (2003), quant-ph/0301063
G. Vidal. “Entanglement renormalization.” Phys. Rev. Lett. 99, 220405 (2007), cond-mat/0512165
G. Vidal. “Class of quantum many-body states that can be efficiently simulated.” Phys. Rev. Lett. 101,110501 (2008), arxiv: quant-ph/0610099
G. Evenbly, G. Vidal. “Tensor Network Renormalization.” Phys. Rev. Lett. 115, 180405 (2015), arXiv:1412.0732