<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi mathvariant="normal">LDA</mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="normal">DMFT</mml:mi></mml:mrow></mml:math>study of Ru-based perovskite<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">SrRuO</mml:mi><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math>and<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display

Jakobi, Eberhard; Kanungo, Sudipta; Sarkar, Soumyajit; Schmitt, Sebastian; Saha-Dasgupta, T.

doi:10.1103/physrevb.83.041103

Cited by 33 publications

(45 citation statements)

References 25 publications

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“…In this section we will give brief sketches of previous dilution methods, including the kN − N one given by M. Jakobi et al [11], and the improved ones, i.e. N − N and rM − N ones, given by M. V. Panduranga Rao et al [15].…”

Section: Previous Dilution Methodsmentioning

confidence: 99%

“…I, Alice will know every ROK bit with probability p = 1/4 if she is honest in the J-protocol. While if she prepares a quantum memory and executes individual unambiguous state discrimination (USD) measurement to attack, Alice can increase this probability to p = 1− 1 √ 2 ≈ 0.29 [11]. Then the probability of identifying a two-bit AKS such as {m i , m i+1 } is 1/16 and 3/2 − √ 2 in the above two conditions respectively.…”

Section: Security Analysis On the Improved Dilution Methodsmentioning

confidence: 99%

“…N − N and rM − N ones, will result in the insecurity of Bob's database. So, let us go back to the original kN − N method [11] to reduce Alice's known bits, and take the scenario where N = 10 5 , k = 7, p = 0.25, n = 6.10 and the failure probability P 0 = (1 − p k ) N = 0.002 as our example, which is directly adapted from Ref. [11].…”

Section: Post-processing Of the Oblivious Key With Error Correctionmentioning

confidence: 99%

“…To solve this problem, M. Jakobi et al gave a new QPQ protocol (Jprotocol) based on quantum key distribution (QKD) [11]. In this protocol SARG04 QKD scheme [12] is utilized to distribute an oblivious key between Alice and Bob, which satisfies the following three requirements.…”

Section: Introductionmentioning

confidence: 99%

“…In Ref. [11] M. Jakobi et al gave a kN − N method, that is, it transforms a ROK with length kN into a N -bit FOK (here N is the total number of items in the database and k is a parameter which is an integer greater than 1). Afterwards M. V. Panduranga Rao et al proposed two improved methods in Ref.…”

Section: Introductionmentioning

confidence: 99%

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Postprocessing of the Oblivious Key in Quantum Private Query

Gao

Liu

Huang

et al. 2015

IEEE J. Select. Topics Quantum Electron.

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Quantum private query (QPQ) is a kind of quantum protocols to protect both users' privacy in their communication. There is an interesting example, that is, Alice wants to buy one item from Bob's database, which is composed of a quantity of valuable messages. QPQ protocol is the communication procedure ensuring that Alice can get only one item from Bob, and at the same time, Bob cannot know which one was taken by Alice. Owing to its practicability, quantum-keydistribution-based QPQ has draw much attention in recent years. However, the post-processing of the key in such protocols, called oblivious key, remains far from being satisfactorily known. Especially, the error correction method for such special key is still missing. Here we focus on the post-processing of the oblivious key, including both dilution and error correction. On the one hand, we demonstrate that the previous dilution method, which greatly reduces the communication complexity, will bring Alice the chance to illegally obtain much additional information about Bob's database. Simulations show that by very limited queries Alice can obtain the whole database. On the other hand, we present an effective error-correction method for the oblivious key, which completes its post-processing and makes such QPQ more practical.

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Section: Previous Dilution Methodsmentioning

confidence: 99%

Section: Security Analysis On the Improved Dilution Methodsmentioning

confidence: 99%

Section: Post-processing Of the Oblivious Key With Error Correctionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Postprocessing of the Oblivious Key in Quantum Private Query

Gao

Liu

Huang

et al. 2015

IEEE J. Select. Topics Quantum Electron.

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Electron–Phonon Coupling and Electron–Phonon Scattering in SrVO₃

et al. 2021

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Understanding the physics of strongly correlated electronic systems has been a central issue in condensed matter physics for decades. In transition metal oxides, strong correlations characteristic of narrow d bands are at the origin of remarkable properties such as the opening of Mott gap, enhanced effective mass, and anomalous vibronic coupling, to mention a few. SrVO3 with V4+ in a 3d1 electronic configuration is the simplest example of a 3D correlated metallic electronic system. Here, the authors' focus on the observation of a (roughly) quadratic temperature dependence of the inverse electron mobility of this seemingly simple system, which is an intriguing property shared by other metallic oxides. The systematic analysis of electronic transport in SrVO3 thin films discloses the limitations of the simplest picture of e–e correlations in a Fermi liquid (FL); instead, it is shown show that the quasi‐2D topology of the Fermi surface (FS) and a strong electron–phonon coupling, contributing to dress carriers with a phonon cloud, play a pivotal role on the reported electron spectroscopic, optical, thermodynamic, and transport data. The picture that emerges is not restricted to SrVO3 but can be shared with other 3d and 4d metallic oxides.

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Density Functional Theory‐Based Prediction of the Pressure‐Dependent Magnetic Properties of CaRuO₃

Zhang

Yue

Zhang

et al. 2021

Physica Status Solidi (b)

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Using the density functional theory with the plane‐wave ultrasoft pseudopotentials method within the local density approximation (LDA), the magnetic structure of CaRuO3 (hereafter referred to as CRO) is studied as a function of hydrostatic pressure. The calculated results show that: 1) the compressive stress does not cause the disappearance of the ferromagnetic (FM) ground state of cubic CRO but only reduces the magnetic ordering energy and magnetic moment per formula unit, and that 2) the orthorhombic CRO with the Pbnm structure is just in the critical region of the FM, antiferromagnetic (AF), and paramagnetic ground states. Although there is no evidence of an AF phase of CRO at low temperature, the calculated results show that an AF interaction does exist between the Ru atoms of CRO. This can explain the negative Weiss temperature of CRO and the abnormal behavior of the magnetic susceptibility of CRO at low temperature. The AF interaction and the sensitivity to the crystal structure may be the reasons for the various properties of CRO.

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LDA+DMFTstudy of Ru-based perovskiteSrRuO3and

Cited by 33 publications

References 25 publications

Postprocessing of the Oblivious Key in Quantum Private Query

Postprocessing of the Oblivious Key in Quantum Private Query

Electron–Phonon Coupling and Electron–Phonon Scattering in SrVO₃

Density Functional Theory‐Based Prediction of the Pressure‐Dependent Magnetic Properties of CaRuO₃

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LDA+DMFTstudy of Ru-based perovskiteSrRuO3and

Cited by 33 publications

References 25 publications

Postprocessing of the Oblivious Key in Quantum Private Query

Postprocessing of the Oblivious Key in Quantum Private Query

Electron–Phonon Coupling and Electron–Phonon Scattering in SrVO3

Density Functional Theory‐Based Prediction of the Pressure‐Dependent Magnetic Properties of CaRuO3

Contact Info

Product

Resources

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Electron–Phonon Coupling and Electron–Phonon Scattering in SrVO₃

Density Functional Theory‐Based Prediction of the Pressure‐Dependent Magnetic Properties of CaRuO₃