Austin G. Fowler mainly focuses on Quantum computer, Qubit, Quantum mechanics, Quantum and Quantum error correction. His Quantum computer study incorporates themes from Computational science, Quantum information, Quantum algorithm and Algorithm. His study in Qubit is interdisciplinary in nature, drawing from both Computation and Coupling strength.
His research integrates issues of Set and Scaling in his study of Quantum mechanics. The various areas that Austin G. Fowler examines in his Quantum study include Programming language and Superconductivity. While the research belongs to areas of Quantum error correction, Austin G. Fowler spends his time largely on the problem of Quantum capacity, intersecting his research to questions surrounding Topology.
Austin G. Fowler spends much of his time researching Quantum computer, Qubit, Quantum error correction, Quantum and Quantum mechanics. His Quantum computer research is multidisciplinary, incorporating perspectives in Algorithm, Quantum information and Topology. The study incorporates disciplines such as Cluster state and Fault tolerance in addition to Topology.
His research in Qubit intersects with topics in Leakage, Superconductivity, Error detection and correction and Computation. His Quantum error correction research focuses on subjects like Quantum network, which are linked to Quantum technology. His Quantum study combines topics from a wide range of disciplines, such as Electronic circuit and Statistical physics.
Qubit, Quantum, Quantum computer, Computation and Quantum error correction are his primary areas of study. His Qubit study is focused on Quantum mechanics in general. Austin G. Fowler has included themes like Hubbard model and Statistical physics in his Quantum study.
He interconnects Algorithm, Error detection and correction and Computer engineering in the investigation of issues within Quantum computer. His biological study spans a wide range of topics, including Subspace topology, Lattice and Source code. His Quantum state research incorporates themes from Computational science, Supercomputer and Quantum machine learning.
His primary scientific interests are in Qubit, Quantum, Quantum computer, Superconductivity and Quantum mechanics. His Qubit research is multidisciplinary, relying on both Quantum algorithm and Pauli exclusion principle. His work deals with themes such as Leakage, Diabatic and Topology, which intersect with Pauli exclusion principle.
His work carried out in the field of Quantum brings together such families of science as Algorithm, Statistical physics and Graph, Planar graph. Austin G. Fowler combines Quantum computer and Givens rotation in his studies. His Superconductivity research integrates issues from Programming language and Optoelectronics.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Supplementary information for "Quantum supremacy using a programmable superconducting processor"
Frank Arute;Kunal Arya;Ryan Babbush;Dave Bacon.
arXiv: Quantum Physics (2019)
Quantum supremacy using a programmable superconducting processor
Frank Arute;Kunal Arya;Ryan Babbush;Dave Bacon.
Nature (2019)
Surface codes: Towards practical large-scale quantum computation
Austin G. Fowler;Matteo Mariantoni;John M. Martinis;Andrew N. Cleland.
Physical Review A (2012)
Superconducting quantum circuits at the surface code threshold for fault tolerance
R. Barends;J. Kelly;A. Megrant;A. Veitia.
Nature (2014)
State preservation by repetitive error detection in a superconducting quantum circuit
J. Kelly;R. Barends;A. G. Fowler;A. Megrant.
Nature (2015)
Scalable Quantum Simulation of Molecular Energies
Peter O'Malley;Ryan Babbush;Ian Kivlichan;Jonathan Romero.
Physical Review X (2016)
Scalable Quantum Simulation of Molecular Energies
P. J. J. O'Malley;R. Babbush;I. D. Kivlichan;J. Romero.
arXiv: Quantum Physics (2015)
High-threshold universal quantum computation on the surface code
Austin G. Fowler;Ashley M. Stephens;Peter Groszkowski.
Physical Review A (2009)
Hartree-Fock on a superconducting qubit quantum computer
Frank Arute;Kunal Arya.
Science (2020)
Digitized adiabatic quantum computing with a superconducting circuit
R. Barends;A. Shabani;L. Lamata;J. Kelly.
Nature (2016)
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