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Takashi Yamamoto — most-cited papers & profile · Quantum Computing
← authors
·
overview
Takashi Yamamoto
20
papers ·
216
citations
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Most-cited papers
Simple And Efficient Quantum Key Distribution With Parametric Down-conversion
2006 · 172 citations
Measurement-device-independent quantum key distribution for Scarani-Acin-Ribordy-Gisin 04 protocol
2014 · 20 citations
Experimental Ancilla-assisted Qubit Transmission Against Correlated Noise Using Quantum Parity Checking
2006 · 19 citations
Logical entanglement distribution between distant 2D array qubits
2025 · 5 citations
Generation of high-fidelity four-photon cluster state and quantum-domain demonstration of one-way quantum computing
2008
Robust photonic entanglement distribution via state-independent encoding onto decoherence-free subspace
2008
Local expansion of photonic W state using a polarization dependent beamsplitter
2008
Optimal entanglement generation for efficient hybrid quantum repeaters
2008
Local transformation of two EPR photon pairs into a three-photon W state
2008
Boosting up quantum key distribution by learning statistics of practical single photon sources
2009
Demonstration of local expansion toward large-scale entangled webs
2010
Efficient decoherence-free entanglement distribution over lossy quantum channels
2010
High-fidelity conversion of photonic quantum information to telecommunication wavelength with superconducting single-photon detectors
2012
Robustness of quantum communication based on a decoherence-free subspace using a counter-propagating weak coherent light pulse
2013
Universal gates for transforming multipartite entangled Dicke states
2013
Top co-authors
Masato Koashi
· 12
Nobuyuki Imoto
· 12
Rikizo Ikuta
· 7
Sahin Kaya Ozdemir
· 6
Toshiyuki Tashima
· 4
Toshiki Kobayashi
· 3
and Nobuyuki Imoto
· 2
Hirotaka Terai
· 2
Shigehito Miki
· 2
Taro Yamashita
· 2
Yoritoshi Adachi
· 2
Yuuki Tokunaga
· 2
Topics
Theory
Quantum Cryptography
Hardware
Error Correction
Quantum Simulation
Quantum Algorithms
Quantum Software
physics.optics
Quantum Machine Learning