What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Electron
- Photon
John M. Martinis spends much of his time researching Qubit, Quantum mechanics, Quantum computer, Quantum and Quantum information.
John M. Martinis is studying Transmon, which is a component of Qubit.
His Quantum computer research is multidisciplinary, incorporating elements of Quantum algorithm, Error detection and correction, Computational science and Topology.
In Quantum algorithm, John M. Martinis works on issues like Quantum network, which are connected to Quantum technology and Quantum channel.
John M. Martinis has included themes like Superconductivity, Condensed matter physics and Statistical physics in his Quantum study.
His study explores the link between Quantum information and topics such as Open quantum system that cross with problems in Quantum process.
His most cited work include:
- Quantum supremacy using a programmable superconducting processor (1598 citations)
- Quantum supremacy using a programmable superconducting processor (1598 citations)
- Quantum ground state and single-phonon control of a mechanical resonator (1316 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Qubit, Quantum mechanics, Superconductivity, Condensed matter physics and Optoelectronics.
As part of his studies on Qubit, he frequently links adjacent subjects like Quantum computer.
His Quantum computer research is multidisciplinary, incorporating perspectives in Quantum information, Quantum algorithm, Algorithm and Topology.
The Optoelectronics study combines topics in areas such as Detector, Optics, Transition edge sensor and Microwave.
As a part of the same scientific family, John M. Martinis mostly works in the field of Quantum error correction, focusing on Quantum network and, on occasion, Quantum technology and Open quantum system.
His research in Quantum tunnelling tackles topics such as Electron which are related to areas like Coulomb blockade and Atomic physics.
He most often published in these fields:
- Qubit (50.39%)
- Quantum mechanics (34.12%)
- Superconductivity (31.44%)
What were the highlights of his more recent work (between 2015-2021)?
- Qubit (50.39%)
- Superconductivity (31.44%)
- Quantum (14.38%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Qubit, Superconductivity, Quantum, Quantum computer and Quantum mechanics.
His biological study spans a wide range of topics, including Quantum state, Computation and Error detection and correction.
His studies deal with areas such as Optoelectronics and Electronic circuit as well as Superconductivity.
His research in Quantum intersects with topics in Scale, Statistical physics, Wave function and Computational science.
His Quantum computer research is multidisciplinary, relying on both Algorithm, Quantum algorithm, Quantum information and Quantum decoherence.
His research integrates issues of Resonator and Magnetic field in his study of Condensed matter physics.
Between 2015 and 2021, his most popular works were:
- Quantum supremacy using a programmable superconducting processor (1598 citations)
- Quantum supremacy using a programmable superconducting processor (1598 citations)
- Supplementary information for "Quantum supremacy using a programmable superconducting processor" (967 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Electron
- Photon
John M. Martinis focuses on Qubit, Quantum, Quantum computer, Quantum mechanics and Superconductivity.
His study in Qubit is interdisciplinary in nature, drawing from both Quantum state, Quantum system, Computation and Indium.
His work on Quantum technology as part of general Quantum study is frequently linked to Section, bridging the gap between disciplines.
His study in Quantum computer is interdisciplinary in nature, drawing from both Quantum information, Quantum algorithm and Algorithm, Error detection and correction.
His work on Quantum circuit and Quantum machine learning as part of general Quantum algorithm research is frequently linked to Supercomputer, thereby connecting diverse disciplines of science.
His research in Superconductivity intersects with topics in Universality, Adiabatic process, Adiabatic quantum computation and Diffusion barrier.
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