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배준우 교수

Joonwoo Bae

KAIST 반도체시스템공학과 · 컴퓨터과학

연구실 소개

배준우 교수의 연구실은 양자 정보 이론의 핵심 문제인 양자 상태 구분, 양자 복제 및 상태 추정, 그리고 양자 채널의 암호적 성질을 중심으로 연구를 전개하고 있습니다. 특히 최소 오차 구분 문제에 대한 기하학적 해법과 양자 얽힘의 채널 구분에서의 응용을 통해 양자 정보 처리의 기본 원리와 실용적 응용을 연결하고 있습니다. 연구는 양자 통신, 양자 암호, 양자 측정 이론 등 다양한 분야에 응용되며, 기초 이론과 실제 기술 간의 다리 역할을 하고 있습니다.

양자 상태 구분양자 암호양자 채널양자 얽힘기하학적 양자 정보

연구 현황

논문 수
162
총 인용 수
1,857
최근 5년 논문
43
주요 분야
컴퓨터과학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
43총합
2022
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2026
5개년 연도별 피인용 수
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주요 논문

15
1
논문|인용수 322·2015
Quantum state discrimination and its applications
Joonwoo Bae, L. C. Kwek
SJR Q2Journal of Physics A Mathematical and TheoreticalOA

Quantum state discrimination underlies various applications in quantum information processing tasks. It essentially describes the distinguishability of quantum systems in different states, and the general process of extracting classical information from quantum systems. It is also useful in quantum information applications, such as the characterisation of mutual information in cryptographic protocols, or as a technique to derive fundamental theorems in quantum foundations. It has deep connection

Artificial IntelligenceComputer Science
2
논문|인용수 91·2006
Asymptotic Quantum Cloning Is State Estimation
Joonwoo Bae, Antonio Acín
SJR Q1Physical Review LettersOA

The impossibility of perfect cloning and state estimation are two fundamental results in quantum mechanics. It has been conjectured that quantum cloning becomes equivalent to state estimation in the asymptotic regime where the number of clones tends to infinity. We prove this conjecture using two known results of quantum information theory: the monogamy of quantum correlations and the properties of entanglement breaking channels.

Artificial IntelligenceComputer Science
3
논문|인용수 78·2013
Structure of minimum-error quantum state discrimination
Joonwoo Bae
SJR Q1New Journal of PhysicsOA

Distinguishing different quantum states is a fundamental task having practical appli-cations for information processing. Despite the efforts devoted so far, however, strate-gies for optimal discrimination are known only for specific examples. We here consider the problem of minimum-error quantum state discrimination where the average error is attempted to be minimized. We show the general structure of minimum-error state discrimination as well as useful properties to derive analytic solutions. B

Artificial IntelligenceComputer Science
4
논문|인용수 75·2007
Key distillation from quantum channels using two-way communication protocols
Joonwoo Bae, Antonio Acín
SJR Q1Physical Review AOA

We provide a general formalism to characterize the cryptographic properties of quantum channels in the realistic scenario where the two honest parties employ prepare and measure protocols and the known two-way communication reconciliation techniques. We obtain a necessary and sufficient condition to distill a secret key using this type of schemes for Pauli qubit channels and generalized Pauli channels in higher dimension. Our results can be applied to standard protocols such as Bennett-Brassard

Artificial IntelligenceComputer Science
5
논문|인용수 46·2013
Minimum-error discrimination of qubit states: Methods, solutions, and properties
Joonwoo Bae, Won-Young Hwang
SJR Q1Physical Review AOA

We show a geometric formulation for minimum-error discrimination of qubit states that can be applied to arbitrary sets of qubit states given with arbitrary a priori probabilities. In particular, when qubit states are given with equal a priori probabilities, we provide a systematic way of finding optimal discrimination and the complete solution in a closed form. This generally gives a bound to cases when prior probabilities are unequal. Then it is shown that the guessing probability does not depe

Artificial IntelligenceComputer Science
6
논문|인용수 43·2019
More Entanglement Implies Higher Performance in Channel Discrimination Tasks
Joonwoo Bae, Dariusz Chruściński, Marco Piani
SJR Q1Physical Review LettersOA

We show that every entangled state provides an advantage in ancilla-assisted bi- and multichannel discrimination that singles out its degree of entanglement, quantified in terms of the Schmidt number. The Schmidt-number robustness provides a compelling quantification of such an advantage, and, remarkably, the well-known robustness of entanglement exactly provides the largest multiplicative advantage an entangled state can provide compared to the case where no ancilla is used in a channel discrim

Artificial IntelligenceComputer Science
7
논문|인용수 39·2016
Operational Characterization of Divisibility of Dynamical Maps
Joonwoo Bae, Dariusz Chruściński
SJR Q1Physical Review LettersOA

In this work, we show the operational characterization to the divisibility of dynamical maps in terms of the distinguishability of quantum channels. It is proven that the distinguishability of any pair of quantum channels does not increase under divisible maps, in which the full hierarchy of divisibility is isomorphic to the structure of entanglement between system and environment. This shows that (i) channel distinguishability is the operational quantity signifying (detecting) divisibility (ind

Atomic and Molecular Physics, and OpticsPhysics and Astronomy
8
논문|인용수 37·2020
Quantum circuit optimization using quantum Karnaugh map
Joonwoo Bae, Paul M. Alsing, Doyeol Ahn, Warner A. Miller
SJR Q1Scientific ReportsOA

Every quantum algorithm is represented by set of quantum circuits. Any optimization scheme for a quantum algorithm and quantum computation is very important especially in the arena of quantum computation with limited number of qubit resources. Major obstacle to this goal is the large number of elemental quantum gates to build even small quantum circuits. Here, we propose and demonstrate a general technique that significantly reduces the number of elemental gates to build quantum circuits. This i

Artificial IntelligenceComputer Science
9
논문|인용수 36·2011
No-Signaling Principle Can Determine Optimal Quantum State Discrimination
Joonwoo Bae, Won-Young Hwang, Yeong-Deok Han
SJR Q1Physical Review LettersOA

We provide a general framework of utilizing the no-signaling principle in derivation of the guessing probability in the minimum-error quantum state discrimination. We show that, remarkably, the guessing probability can be determined by the no-signaling principle. This is shown by proving that, in the semidefinite programing for the discrimination, the optimality condition corresponds to the constraint that quantum theory cannot be used for a superluminal communication. Finally, a general bound t

Artificial IntelligenceComputer Science
10
논문|인용수 27·2020
Mirrored entanglement witnesses
Joonwoo Bae, Dariusz Chruściński, Beatrix C. Hiesmayr
SJR Q1npj Quantum InformationOA

Abstract Entanglement detection, which signifies the task of distinguishing entangled states from separable states, can be generally performed by realizing entanglement witnesses via local measurements on a single-copy level and classical communication, and are known to be experimenter friendly. We introduce a framework of constructing mirrored entanglement witnesses by showing that an experimental observable is twice as effective since it generally provides bounds from above and below for separ

Artificial IntelligenceComputer Science
11
논문|인용수 23·2017
Designing quantum information processing via structural physical approximation
Joonwoo Bae
SJR Q1Reports on Progress in PhysicsOA

In quantum information processing it may be possible to have efficient computation and secure communication beyond the limitations of classical systems. In a fundamental point of view, however, evolution of quantum systems by the laws of quantum mechanics is more restrictive than classical systems, identified to a specific form of dynamics, that is, unitary transformations and, consequently, positive and completely positive maps to subsystems. This also characterizes classes of disallowed transf

Artificial IntelligenceComputer Science
12
논문|인용수 22·2002
Generalized quantum search Hamiltonian
Joonwoo Bae, Younghun Kwon
SJR Q1Physical Review AOA

There are Hamiltonians that solve the search problem of finding one of N items in $O(\sqrt{N})$ steps. These are Hamiltonians describing an oscillation between two states. In this paper we propose a generalized search Hamiltonian ${H}_{g}.$ Then the known search Hamiltonians become special cases of ${H}_{g}.$ For the generalized search Hamiltonian, we present the remarkable result that searching with 100% success is subject only to the phase factor in ${H}_{g}$ and independent of the number of s

Artificial IntelligenceComputer Science
13
논문|인용수 20·2004
Three-party quantum teleportation with asymmetric states
Joonwoo Bae, Jyoungwan Jin, Ji-Tae Kim, Chihoon Yoon, Younghun Kwon
SJR Q1Chaos Solitons & Fractals
Artificial IntelligenceComputer Science
14
논문|인용수 19·2009
Detection and typicality of bound entangled states
Joonwoo Bae, Markus Tiersch, Simeon Sauer, Fernando de Melo, Florian Mintert, Beatrix C. Hiesmayr, Andreas Buchleitner
SJR Q1Physical Review AOA

We derive an explicit analytic estimate for the entanglement of a large class of bipartite quantum states, which extends into bound entanglement regions. This is done by using an efficiently computable concurrence lower bound, which is further employed to numerically construct a volume of $3\ifmmode\times\else\texttimes\fi{}3$ bound entangled states.

Artificial IntelligenceComputer Science
15
논문|인용수 17·2015
Discrimination of two-qubit unitaries via local operations and classical communication
Joonwoo Bae
SJR Q1Scientific ReportsOA

Distinguishability is a fundamental and operational measure generally connected to information applications. In quantum information theory, from the postulates of quantum mechanics it often has an intrinsic limitation, which then dictates and also characterises capabilities of related information tasks. In this work, we consider discrimination between bipartite two-qubit unitary transformations by local operations and classical communication (LOCC) and its relations to entangling capabilities of

Artificial IntelligenceComputer Science

대표 연구 분야

Artificial IntelligenceAtomic and Molecular Physics, and OpticsElectrical and Electronic EngineeringMaterials ChemistryStatistics, Probability and UncertaintyCardiology and Cardiovascular Medicine

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