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Tomohiro Ogawa

dblp:11/896 · DBLP profile ↗
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7ranked-venue papers
4as first author
1since 2021 · last 2021
0000-0003-4659-9218ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 7 · 4 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
7 papers
Quantum computing and quantum information · 53% Information theory · 31% Coding theory · 16%
Network and information security
1 paper
Cryptographic primitives and cryptanalysis · 100%

Topics — the 14 heaviest of 14, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information theory
channel capacity
0.722021
Divergence Radii and the Strong Converse Exponent of Classical-Quantum Channel Coding With Constant Compositions · IEEE Trans. Inf. Theory 2021
Secure Multiplex Coding Attaining Channel Capacity in Wiretap Channels · IEEE Trans. Inf. Theory 2013
Quantum computing and quantum information › quantum error correction
quantum code
0.632021
Divergence Radii and the Strong Converse Exponent of Classical-Quantum Channel Coding With Constant Compositions · IEEE Trans. Inf. Theory 2021
Making Good Codes for Classical-Quantum Channel Coding via Quantum Hypothesis Testing · IEEE Trans. Inf. Theory 2007
Strong converse to the quantum channel coding theorem · IEEE Trans. Inf. Theory 1999
Quantum computing and quantum information › quantum channel capacity
classical-quantum channel coding
0.622021
Divergence Radii and the Strong Converse Exponent of Classical-Quantum Channel Coding With Constant Compositions · IEEE Trans. Inf. Theory 2021
Making Good Codes for Classical-Quantum Channel Coding via Quantum Hypothesis Testing · IEEE Trans. Inf. Theory 2007
Information theory › channel capacity
rényi capacity
0.512021
Divergence Radii and the Strong Converse Exponent of Classical-Quantum Channel Coding With Constant Compositions · IEEE Trans. Inf. Theory 2021
Coding theory › channel coding › strong converse
strong converse exponent
0.422021
Two Approaches to Obtain the Strong Converse Exponent of Quantum Hypothesis Testing for General Sequences of Quantum States · IEEE Trans. Inf. Theory 2015
Divergence Radii and the Strong Converse Exponent of Classical-Quantum Channel Coding With Constant Compositions · IEEE Trans. Inf. Theory 2021
Quantum computing and quantum information › quantum measurement
quantum state discrimination
0.442015
Two Approaches to Obtain the Strong Converse Exponent of Quantum Hypothesis Testing for General Sequences of Quantum States · IEEE Trans. Inf. Theory 2015
Making Good Codes for Classical-Quantum Channel Coding via Quantum Hypothesis Testing · IEEE Trans. Inf. Theory 2007
On Error Exponents in Quantum Hypothesis Testing · IEEE Trans. Inf. Theory 2004
Quantum computing and quantum information
quantum information theory
0.322015
Two Approaches to Obtain the Strong Converse Exponent of Quantum Hypothesis Testing for General Sequences of Quantum States · IEEE Trans. Inf. Theory 2015
On Error Exponents in Quantum Hypothesis Testing · IEEE Trans. Inf. Theory 2004
Quantum computing and quantum information › quantum information theory
quantum rényi divergence
0.212015
Two Approaches to Obtain the Strong Converse Exponent of Quantum Hypothesis Testing for General Sequences of Quantum States · IEEE Trans. Inf. Theory 2015
Coding theory › channel coding
strong converse
0.232021
Divergence Radii and the Strong Converse Exponent of Classical-Quantum Channel Coding With Constant Compositions · IEEE Trans. Inf. Theory 2021
Strong converse and Stein's lemma in quantum hypothesis testing · IEEE Trans. Inf. Theory 2000
Strong converse to the quantum channel coding theorem · IEEE Trans. Inf. Theory 1999
Cryptographic primitives and cryptanalysis
information-theoretic security
0.212013
Secure Multiplex Coding Attaining Channel Capacity in Wiretap Channels · IEEE Trans. Inf. Theory 2013
Cryptographic primitives and cryptanalysis › information-theoretic security
wiretap coding
0.212013
Secure Multiplex Coding Attaining Channel Capacity in Wiretap Channels · IEEE Trans. Inf. Theory 2013
Quantum computing and quantum information › quantum measurement › quantum state discrimination
quantum stein's lemma
0.112007
Making Good Codes for Classical-Quantum Channel Coding via Quantum Hypothesis Testing · IEEE Trans. Inf. Theory 2007
Information theory
hypothesis testing
0.112015
Two Approaches to Obtain the Strong Converse Exponent of Quantum Hypothesis Testing for General Sequences of Quantum States · IEEE Trans. Inf. Theory 2015
Coding theory › channel coding
error exponent
0.012004
On Error Exponents in Quantum Hypothesis Testing · IEEE Trans. Inf. Theory 2004

Methods — techniques the papers use, named apart from their topics

sandwiched quantum rényi divergences · 0.5operational interpretation · 0.5information-spectral method · 0.3factorization property · 0.2differentiability · 0.2noncommutative operator packing · 0.1greedy packing · 0.1operator inequality · 0.0conditional expectation · 0.0quantum relative entropy · 0.0
YearPublicationVenuePosition
2021 Divergence Radii and the Strong Converse Exponent of Classical-Quantum Channel Coding With Constant Compositions
abstract
There are different inequivalent ways to define the Rényi capacity of a channel for a fixed input distribution. In [IEEE Transactions on Information Theory, 41(1):26-34, 1995], Csiszár has shown that for classical discrete memoryless channels there is a distinguished such quantity that has an operational interpretation as a generalized cutoff rate for constant composition channel coding. We show that the analogous notion of Rényi capacity, defined in terms of the sandwiched quantum Rényi divergences, has the same operational interpretation in the strong converse problem of constant composition classical-quantum channel coding.
Milán Mosonyi, Tomohiro Ogawa
IEEE Trans. Inf. Theory2
2015 Two Approaches to Obtain the Strong Converse Exponent of Quantum Hypothesis Testing for General Sequences of Quantum States
abstract
We present two general approaches to obtain the strong converse exponent of simple quantum hypothesis testing for correlated quantum states. One approach requires that the states satisfy a certain factorization property; typical examples of such states are the temperature states of translation-invariant finite-range interactions on a spin chain. The other approach requires the differentiability of a regularized Rényi α-divergence in the parameter α; typical examples of such states include temperature states of non-interacting fermionic lattice systems, and classical irreducible Markov chains. In all cases, we get that the strong converse exponent is equal to the Hoeffding antidivergence, which in turn is obtained from the regularized Rényi divergences of the two states.
Milán Mosonyi, Tomohiro Ogawa
IEEE Trans. Inf. Theory2
2013 Secure Multiplex Coding Attaining Channel Capacity in Wiretap Channels
abstract
It is known that a message can be transmitted safely against any wiretapper via a noisy channel without a secret key if the coding rate is less than the so-called secrecy capacity CS, which is usually smaller than the channel capacity C. In order to remove the loss C-CS, we propose a multiplex coding scheme with plural independent messages. In this paper, it is shown that the proposed multiplex coding scheme can attain the channel capacity as the total rate of the plural messages and the perfect secrecy for each massage. Several bounds of achievable multiplex coding rate region are derived for general wiretap channels in the sense of information-spectral methods, by extending Hayashi's proof, in which the coding of the channel resolvability is applied to wiretap channels. Furthermore, the exact region for deterministic coding is determined for stationary memoryless full-rank wiretap channels.
Hirosuke Yamamoto, Tomohiro Ogawa
IEEE Trans. Inf. Theory3
2007 Making Good Codes for Classical-Quantum Channel Coding via Quantum Hypothesis Testing
abstract
In this correspondence, we give an alternative proof of the direct part of the classical-quantum channel coding theorem (the Holevo-Schumacher-Westmoreland (HSW) theorem), using ideas of quantum hypothesis testing. In order to show the existence of good codes, we invoke a limit theorem, relevant to the quantum Stein's lemma, in quantum hypothesis testing as the law of large numbers used in the classical case. We also apply a greedy construction of good codes using a packing procedure of noncommutative operators. Consequently we derive an upper bound on the coding error probability, which is used to give an alternative proof of the HSW theorem. This approach elucidates how the Holevo information applies to the classical-quantum channel coding problems
Tomohiro Ogawa, Hiroshi Nagaoka
IEEE Trans. Inf. Theory1
2004 On Error Exponents in Quantum Hypothesis Testing
abstract
In the simple quantum hypothesis testing problem for two density operators, upper bounds on the error probabilities are shown based on a key operator inequality between a density operator and a conditional expectation of it. Concerning the error exponents, the upper bounds lead to a noncommutative analog of the Hoeffding bound, which is identical with the classical counterpart if two density operators commute. The upper bounds also provide a simple proof of the direct part of the quantum Stein's lemma.
Tomohiro Ogawa, Masahito Hayashi
IEEE Trans. Inf. Theory1
2000 Strong converse and Stein's lemma in quantum hypothesis testing
abstract
The hypothesis testing problem for two quantum states is treated. We show a new inequality between the errors of the first kind and the second kind, which complements the result of Hiai and Petz (1991) to establish the quantum version of Stein's lemma. The inequality is also used to show a bound on the probability of errors of the first kind when the power exponent for the probability of errors of the second kind exceeds the quantum relative entropy, which yields the strong converse in quantum hypothesis testing. Finally, we discuss the relation between the bound and the power exponent derived by Han and Kobayashi (1989) in classical hypothesis testing.
Tomohiro Ogawa, Hiroshi Nagaoka
IEEE Trans. Inf. Theory1
1999 Strong converse to the quantum channel coding theorem
abstract
A lower bound on the probability of decoding error for a quantum communication channel is presented, from which the strong converse to the quantum channel coding theorem is immediately shown. The results and their derivations are mostly straightforward extensions of the classical counterparts which were established by Arimoto (1973), except that more careful treatment is necessary here due to the noncommutativity of operators.
Tomohiro Ogawa, Hiroshi Nagaoka
IEEE Trans. Inf. Theory1