J
Juan Carrasquilla
Researcher at University of Waterloo
Publications - 83
Citations - 6123
Juan Carrasquilla is an academic researcher from University of Waterloo. The author has contributed to research in topics: Quantum & Quantum state. The author has an hindex of 22, co-authored 72 publications receiving 4504 citations. Previous affiliations of Juan Carrasquilla include Perimeter Institute for Theoretical Physics & Georgetown University.
Papers
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Journal ArticleDOI
Machine learning phases of matter
TL;DR: It is shown that modern machine learning architectures, such as fully connected and convolutional neural networks, can identify phases and phase transitions in a variety of condensed-matter Hamiltonians.
Journal Article
Machine learning phases of matter
Journal ArticleDOI
Neural-network quantum state tomography
Giacomo Torlai,Giacomo Torlai,Guglielmo Mazzola,Juan Carrasquilla,Matthias Troyer,Matthias Troyer,Roger G. Melko,Roger G. Melko,Giuseppe Carleo +8 more
TL;DR: It is demonstrated that machine learning allows one to reconstruct traditionally challenging many-body quantities—such as the entanglement entropy—from simple, experimentally accessible measurements, and can benefit existing and future generations of devices.
Journal ArticleDOI
Many-body quantum state tomography with neural networks
Giacomo Torlai,Guglielmo Mazzola,Juan Carrasquilla,Matthias Troyer,Roger G. Melko,Giuseppe Carleo +5 more
TL;DR: In this paper, machine learning techniques are used for quantum state tomography (QST) of highly entangled states, in both one and two dimensions, and the resulting approach allows one to reconstruct traditionally challenging many-body quantities - such as the entanglement entropy - from simple, experimentally accessible measurements.
Journal ArticleDOI
Observation of topological phenomena in a programmable lattice of 1,800 qubits
Andrew D. King,Juan Carrasquilla,Jack Raymond,Isil Ozfidan,Evgeny Andriyash,Andrew J. Berkley,Mauricio Reis,Trevor Lanting,Richard Harris,Fabio Altomare,Kelly T. R. Boothby,Paul I. Bunyk,C. Enderud,Alexandre Fréchette,Emile Hoskinson,N. Ladizinsky,T. Oh,Gabriel Poulin-Lamarre,Christopher B. Rich,Yuki Sato,Anatoly Yu. Smirnov,Loren J. Swenson,Mark H. Volkmann,Jed D. Whittaker,Jason Yao,E. Ladizinsky,Mark W. Johnson,Jeremy P. Hilton,Mohammad H. Amin,Mohammad H. Amin +29 more
TL;DR: A large-scale programmable quantum simulation is described, using a D-Wave quantum processor to simulate a two-dimensional magnetic lattice in the vicinity of a topological phase transition.