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- Matthew R. James

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Electronics and Electrical Engineering
D-index
39
Citations
7,611
233
World Ranking
2900
National Ranking
92

- Quantum mechanics
- Mathematical analysis
- Control theory

His primary areas of study are Control theory, Nonlinear system, Control theory, Quantum network and Quantum operation. In his study, Quantum system and Product is strongly linked to Quantum computer, which falls under the umbrella field of Control theory. Matthew R. James combines subjects such as Kalman filter, Partial differential equation and Dissipative system with his study of Nonlinear system.

His Quantum operation research incorporates themes from Quantum information and Quantum probability, Quantum process. The study incorporates disciplines such as Quantum technology and Applied mathematics in addition to Quantum probability. His work deals with themes such as Quantum algorithm and Quantum error correction, which intersect with Quantum process.

- The Series Product and Its Application to Quantum Feedforward and Feedback Networks (424 citations)
- An Introduction to Quantum Filtering (360 citations)
- $H^{\infty}$ Control of Linear Quantum Stochastic Systems (357 citations)

His main research concerns Control theory, Quantum, Nonlinear system, Control theory and Quantum system. As part of his studies on Control theory, he often connects relevant areas like Dynamic programming. His Quantum study incorporates themes from Quantum optics, Stochastic differential equation, Applied mathematics, Statistical physics and Topology.

His studies in Statistical physics integrate themes in fields like Quantum algorithm, Open quantum system, Quantum operation and Quantum probability, Quantum process. He usually deals with Quantum process and limits it to topics linked to Quantum dissipation and Quantum error correction. His Control theory study integrates concerns from other disciplines, such as Stability and Control system.

- Control theory (38.23%)
- Quantum (33.03%)
- Nonlinear system (18.96%)

- Quantum (33.03%)
- Statistical physics (11.01%)
- Control theory (38.23%)

Quantum, Statistical physics, Control theory, Quantum system and Quantum state are his primary areas of study. His Quantum research includes elements of Stochastic differential equation, Gaussian and Topology. His Control theory research is multidisciplinary, relying on both Quantum capacity and Quantum operation.

His Quantum operation research incorporates elements of Quantum dissipation, Quantum channel and Quantum probability. The concepts of his Quantum state study are interwoven with issues in State and Mathematical optimization. His biological study spans a wide range of topics, including Control system and Optimal control.

- Comparing resolved-sideband cooling and measurement-based feedback cooling on an equal footing: Analytical results in the regime of ground-state cooling (22 citations)
- Analysis and control of quantum finite-level systems driven by single-photon input states (20 citations)
- Quantum feedback control of linear stochastic systems with feedback-loop time delays (20 citations)

- Quantum mechanics
- Mathematical analysis
- Control theory

His primary scientific interests are in Quantum, Statistical physics, Quantum system, Quantum operation and Control theory. His Quantum research is multidisciplinary, incorporating elements of Stochastic differential equation, Applied mathematics and Hilbert space. Matthew R. James combines subjects such as Colors of noise, Inequality and Quantum protocols with his study of Statistical physics.

He has included themes like Quantum information, Quantum algorithm, Quantum error correction and Quantum process in his Quantum operation study. Particularly relevant to Quantum probability is his body of work in Quantum process. His research on Control theory focuses in particular on Control theory.

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.

Control of Linear Quantum Stochastic Systems

Matthew R. James;Hendra I. Nurdin;Ian R. Petersen.

Quantum-Atom Optics Downunder (2007), paper QME32 **(2007)**

493 Citations

An Introduction to Quantum Filtering

Luc Bouten;Ramon Van Handel;Matthew R. James.

Siam Journal on Control and Optimization **(2007)**

492 Citations

The Series Product and Its Application to Quantum Feedforward and Feedback Networks

J. Gough;M.R. James.

IEEE Transactions on Automatic Control **(2009)**

461 Citations

$H^{\infty}$ Control of Linear Quantum Stochastic Systems

M.R. James;H.I. Nurdin;I.R. Petersen.

IEEE Transactions on Automatic Control **(2008)**

387 Citations

Minimax optimal control of stochastic uncertain systems with relative entropy constraints

I.R. Petersen;M.R. James;P. Dupuis.

IEEE Transactions on Automatic Control **(2000)**

354 Citations

Coherent quantum LQG control

Hendra I. Nurdin;Matthew R. James;Ian R. Petersen.

Automatica **(2009)**

327 Citations

Risk-sensitive control and dynamic games for partially observed discrete-time nonlinear systems

M.R. James;J.S. Baras;R.J. Elliott.

IEEE Transactions on Automatic Control **(1994)**

326 Citations

Extending H-infinity Control to Nonlinear Systems: Control of Nonlinear Systems to Achieve Performance Objectives

J. William Helton;Matthew R. James.

**(1987)**

300 Citations

Squeezing Components in Linear Quantum Feedback Networks

John Edward Gough;Matthew R. James;Hendra I. Nurdin.

Physical Review A **(2010)**

198 Citations

Asymptotic analysis of nonlinear stochastic risk-sensitive control and differential games

Matthew R. James.

Mathematics of Control, Signals, and Systems **(1992)**

193 Citations

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