What is he best known for?
The fields of study he is best known for:
- Programming language
- Quantum mechanics
- Artificial intelligence
Mingsheng Ying mostly deals with Quantum mechanics, Theoretical computer science, LOCC, Fuzzy logic and Quantum algorithm.
Amplitude damping channel and Quantum state are subfields of Quantum mechanics in which his conducts study.
His Theoretical computer science research is multidisciplinary, incorporating elements of Algorithm, Correctness, Markov chain, Quantum cryptography and Probabilistic CTL.
His LOCC research integrates issues from Multipartite and Combinatorics.
His Combinatorics research incorporates elements of Quantum entanglement, Classical capacity and Product.
His Quantum algorithm research includes themes of Quantum information, Open quantum system, Quantum capacity and Quantum information science.
His most cited work include:
- A new approach for fuzzy topology (II) (228 citations)
- A formal model of computing with words (108 citations)
- Parameter Estimation of Quantum Channels (94 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Quantum, Theoretical computer science, Quantum computer, Algebra and Quantum algorithm.
His Quantum research includes elements of Probabilistic logic, Reachability and Markov chain.
The various areas that he examines in his Theoretical computer science study include Quantum cryptography, Algorithm and State space.
His Quantum computer research incorporates themes from Software, Computation and Qubit.
The Algebra study which covers Termination analysis that intersects with Invariant.
His Quantum algorithm study integrates concerns from other disciplines, such as Open quantum system, Quantum capacity, Quantum operation, Quantum process and Quantum information.
He most often published in these fields:
- Quantum (61.95%)
- Theoretical computer science (36.48%)
- Quantum computer (28.93%)
What were the highlights of his more recent work (between 2017-2021)?
- Quantum (61.95%)
- Theoretical computer science (36.48%)
- Quantum computer (28.93%)
In recent papers he was focusing on the following fields of study:
Mingsheng Ying focuses on Quantum, Theoretical computer science, Quantum computer, Algebra and Probabilistic logic.
Mingsheng Ying studies Quantum algorithm, a branch of Quantum.
His biological study spans a wide range of topics, including Quantum walk, Interpretation, Quantum programming and Quantum logic.
His work deals with themes such as Quantum state, Debugging, Robustness and Qubit, which intersect with Quantum computer.
His Quantum state research is multidisciplinary, incorporating perspectives in Quantum system, Antisymmetric relation, Multipartite and Hilbert space.
His studies in Probabilistic logic integrate themes in fields like Distribution and Strassen algorithm.
Between 2017 and 2021, his most popular works were:
- Quantum Supremacy Circuit Simulation on Sunway TaihuLight (25 citations)
- Quantitative robustness analysis of quantum programs (15 citations)
- Formal verification of quantum algorithms using quantum hoare logic (14 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Artificial intelligence
- Algebra
The scientist’s investigation covers issues in Quantum, Theoretical computer science, Algebra, Probabilistic logic and Quantum computer.
The study incorporates disciplines such as Statistical physics, Decomposition and Hoare logic in addition to Quantum.
Theoretical computer science is closely attributed to Quantum algorithm in his research.
Many of his research projects under Algebra are closely connected to Event, Probability theory and Coupling with Event, Probability theory and Coupling, tying the diverse disciplines of science together.
His Probabilistic logic research is multidisciplinary, relying on both Stationary state, Strongly connected component, Coherence and Markov chain.
His research integrates issues of Debugging, Robustness and Qubit in his study of Quantum computer.
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