What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Statistics
- Algebra
Masahito Hayashi mainly focuses on Discrete mathematics, Quantum information, Quantum channel, Quantum mechanics and Quantum information science.
The Discrete mathematics study combines topics in areas such as Entropy, Upper and lower bounds and Hoeffding's inequality, Random variable.
His Quantum channel research focuses on Amplitude damping channel and how it connects with Classical capacity.
Many of his research projects under Quantum mechanics are closely connected to Complete homogeneous symmetric polynomial with Complete homogeneous symmetric polynomial, tying the diverse disciplines of science together.
His study looks at the relationship between Quantum entanglement and topics such as Qubit, which overlap with Topology and Quantum computer.
Statistical hypothesis testing is closely connected to Quantum state in his research, which is encompassed under the umbrella topic of Quantum information science.
His most cited work include:
- Information Spectrum Approach to Second-Order Coding Rate in Channel Coding (342 citations)
- General formulas for capacity of classical-quantum channels (304 citations)
- Quantum information with Gaussian states (273 citations)
What are the main themes of his work throughout his whole career to date?
Masahito Hayashi mainly investigates Quantum, Discrete mathematics, Applied mathematics, Quantum entanglement and Statistical physics.
His Quantum study combines topics from a wide range of disciplines, such as Hypergraph, Converse and Theoretical computer science.
Masahito Hayashi interconnects Quantum channel, Rényi entropy, Qubit, Hash function and Upper and lower bounds in the investigation of issues within Discrete mathematics.
The various areas that Masahito Hayashi examines in his Applied mathematics study include Markov process, Estimator, Limit, Markov chain and Order.
His Quantum entanglement course of study focuses on State and LOCC and Statistical hypothesis testing.
His research integrates issues of Probability distribution and Kullback–Leibler divergence in his study of Statistical physics.
He most often published in these fields:
- Quantum (31.93%)
- Discrete mathematics (24.45%)
- Applied mathematics (20.07%)
What were the highlights of his more recent work (between 2017-2021)?
- Quantum (31.93%)
- Quantum state (17.15%)
- Computer network (6.57%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Quantum, Quantum state, Computer network, Communication channel and Applied mathematics.
His Quantum study integrates concerns from other disciplines, such as Hypergraph and Discrete mathematics.
Masahito Hayashi combines subjects such as Zero and Bounded function with his study of Discrete mathematics.
The study incorporates disciplines such as Local asymptotic normality, Quantum network, Basis and Qubit in addition to Quantum state.
His Qubit research incorporates themes from Constraint, State and Limit.
Masahito Hayashi has researched Applied mathematics in several fields, including Orthogonalization, Estimation theory, Nuisance parameter and Markov process.
Between 2017 and 2021, his most popular works were:
- Operational Interpretation of Rényi Information Measures via Composite Hypothesis Testing Against Product and Markov Distributions (33 citations)
- Attaining the Ultimate Precision Limit in Quantum State Estimation (33 citations)
- Attaining the Ultimate Precision Limit in Quantum State Estimation (33 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Statistics
- Algebra
His primary scientific interests are in Quantum state, Quantum, Qubit, Algorithm and State.
Masahito Hayashi has included themes like Quantum network, Quantum metrology, Statistical physics and Applied mathematics in his Quantum state study.
Particularly relevant to Quantum computer is his body of work in Quantum.
His Quantum computer research is multidisciplinary, incorporating perspectives in Simple, Verifiable secret sharing and Bipartite graph.
His Algorithm study combines topics in areas such as Overhead, Quantum mechanics, Quantum clock and Fidelity.
His work in State tackles topics such as Constraint which are related to areas like LOCC, Verification problem, Separable space and Discrete mathematics.
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