Quantum computer, Qubit, Quantum, Quantum algorithm and Quantum mechanics are his primary areas of study. His work in Quantum computer covers topics such as Quantum information which are related to areas like Open quantum system. His biological study focuses on Transmon.
Rami Barends interconnects Superconductivity, Statistical physics and Computation in the investigation of issues within Quantum. His Quantum mechanics research focuses on Topology and how it relates to Quantum capacity and Quantum gate. His study explores the link between Quantum error correction and topics such as Quantum network that cross with problems in Quantum technology.
His main research concerns Qubit, Superconductivity, Quantum mechanics, Quantum computer and Optoelectronics. His Qubit research entails a greater understanding of Quantum. Rami Barends focuses mostly in the field of Quantum, narrowing it down to topics relating to Statistical physics and, in certain cases, Quantum simulator.
His studies deal with areas such as Algorithm, Quantum algorithm, Quantum information and Quantum decoherence as well as Quantum computer. His research integrates issues of Quantum network and Topology in his study of Quantum algorithm. His Optoelectronics research includes themes of Quality and Microwave.
The scientist’s investigation covers issues in Qubit, Quantum computer, Quantum, Superconductivity and Transmon. Qubit is a subfield of Quantum mechanics that Rami Barends investigates. In the subject of general Quantum computer, his work in Quantum error correction is often linked to Givens rotation, thereby combining diverse domains of study.
His Quantum study integrates concerns from other disciplines, such as Statistical physics and Ansatz. The Transmon study combines topics in areas such as CMOS and Circuit design. His Quantum state research includes elements of Computational science and Quantum machine learning.
Rami Barends focuses on Qubit, Quantum, Quantum computer, Superconductivity and Quantum state. His work deals with themes such as Quantum algorithm and Pauli exclusion principle, which intersect with Qubit. His work in the fields of Quantum algorithm, such as Quantum circuit and Quantum machine learning, intersects with other areas such as Supercomputer.
Quantum and Algorithm are commonly linked in his work. His work focuses on many connections between Quantum computer and other disciplines, such as Wave function, that overlap with his field of interest in Statistical physics. His biological study spans a wide range of topics, including Transmon, Quantum error correction, Computational science and Quantum decoherence.
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)
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)
Coherent Josephson qubit suitable for scalable quantum integrated circuits.
R. Barends;J. Kelly;A. Megrant;D. Sank.
Physical Review Letters (2013)
Scalable Quantum Simulation of Molecular Energies
P. J. J. O'Malley;R. Babbush;I. D. Kivlichan;J. Romero.
arXiv: Quantum Physics (2015)
Hartree-Fock on a superconducting qubit quantum computer
Frank Arute;Kunal Arya.
Science (2020)
Qubit Architecture with High Coherence and Fast Tunable Coupling
Yu Chen;C. Neill;P. Roushan;N. Leung.
Physical Review Letters (2014)
Digitized adiabatic quantum computing with a superconducting circuit
R. Barends;A. Shabani;L. Lamata;J. Kelly.
Nature (2016)
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