What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Photon
- Algorithm
Jay M. Gambetta mainly investigates Qubit, Quantum mechanics, Quantum computer, Quantum error correction and Superconducting quantum computing.
The concepts of his Qubit study are interwoven with issues in Quantum optics and Quantum decoherence.
His Phase qubit, Transmon, Dephasing, Circuit quantum electrodynamics and Quantum teleportation study are his primary interests in Quantum mechanics.
His Quantum computer research incorporates themes from Algorithm, Quantum algorithm, Quantum process and Photon.
His study looks at the intersection of Quantum error correction and topics like Topology with Error detection and correction.
His study focuses on the intersection of Superconducting quantum computing and fields such as Quantum bus with connections in the field of Resonator, Logic gate and Electronic circuit.
His most cited work include:
- Charge-insensitive qubit design derived from the Cooper pair box (1605 citations)
- Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets (942 citations)
- Coupling superconducting qubits via a cavity bus. (893 citations)
What are the main themes of his work throughout his whole career to date?
Jay M. Gambetta focuses on Qubit, Quantum mechanics, Quantum computer, Quantum and Superconductivity.
In most of his Qubit studies, his work intersects topics such as Topology.
Quantum mechanics and Quantum electrodynamics are frequently intertwined in his study.
The various areas that Jay M. Gambetta examines in his Quantum computer study include Optoelectronics, Algorithm, Quantum algorithm and Quantum information.
His research investigates the connection between Superconductivity and topics such as Electrical engineering that intersect with issues in Microwave.
His Phase qubit research is multidisciplinary, incorporating elements of Flux qubit, Spontaneous emission and One-way quantum computer.
He most often published in these fields:
- Qubit (59.10%)
- Quantum mechanics (40.90%)
- Quantum computer (31.04%)
What were the highlights of his more recent work (between 2019-2021)?
- Quantum (25.97%)
- Quantum computer (31.04%)
- Qubit (59.10%)
In recent papers he was focusing on the following fields of study:
Quantum, Quantum computer, Qubit, Algorithm and Quantum circuit are his primary areas of study.
His studies in Quantum integrate themes in fields like Electronic circuit, Set, Artificial intelligence, Hamiltonian and Component.
His research in Quantum computer intersects with topics in Optoelectronics, Quantum technology, Theoretical computer science and Kernel.
His Qubit study contributes to a more complete understanding of Quantum mechanics.
His Algorithm study combines topics from a wide range of disciplines, such as Upper and lower bounds, Energy, Wave function and Expectation value.
The study incorporates disciplines such as Executable, Service and Topology in addition to Quantum circuit.
Between 2019 and 2021, his most popular works were:
- Effective Hamiltonian models of the cross-resonance gate (50 citations)
- Verifying multipartite entangled Greenberger-Horne-Zeilinger states via multiple quantum coherences (42 citations)
- Demonstration of quantum volume 64 on a superconducting quantum computing system (31 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Photon
- Programming language
His scientific interests lie mostly in Quantum, Qubit, Quantum computer, Quantum mechanics and Algorithm.
When carried out as part of a general Quantum research project, his work on Superconducting quantum computing is frequently linked to work in Benchmarking, therefore connecting diverse disciplines of study.
His Qubit study combines topics in areas such as Subspace topology, Hamiltonian and Quantum algorithm.
The Quantum computer study which covers Computation that intersects with Assembly language, Domain, Control flow and Theoretical computer science.
Jay M. Gambetta regularly ties together related areas like Noise in his Quantum mechanics studies.
Jay M. Gambetta interconnects Kernel, Coset, Upper and lower bounds, Data set and Covariant transformation in the investigation of issues within Algorithm.
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