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most citedReview article: Linear optical quantum computing

2.9k citations

Showing 2019Show all

106 papers · 1 filter

cs.LG2019★ 2 cited

Detecting and Correcting Adversarial Images Using Image Processing Operations

Huy H. Nguyen, Minoru Kuribayashi, Junichi Yamagishi +1

Deep neural networks (DNNs) have achieved excellent performance on several tasks and have been widely applied in both academia and industry. However, DNNs are vulnerable to adversa…

quant-ph2019★ 20 cited

Continuous-time quantum walk spatial search on the Bollobás scale-free network

Tomo Osada, Bruno Coutinho, Yasser Omar +3

The scale-free property emerges in various real-world networks and is an essential property which characterizes the dynamics or features of such networks. In this work we investiga…

quant-ph2019

Decoding Quantum Error Correction Codes with Local Variation

Michael Hanks, William J. Munro, Kae Nemoto

In this paper we investigate the role of local information in the decoding of the repetition and surface error correction codes for the protection of quantum states. Our key result…

cond-mat.quant-gas2019★ 3 cited

Cooper pair polaritons in cold fermionic atoms within a cavity

Amaury Dodel, Alexander Pikovski, Igor Ermakov +4

We formulate a Bardeen-Cooper-Schriffer (BCS) theory of quasiparticles in a degenerate Fermi gas strongly coupled to photons in a optical cavity. The elementary photonic excitation…

quant-ph2019★ 21 cited

Effective Compression of Quantum Braided Circuits Aided by ZX-Calculus

Michael Hanks, Marta P. Estarellas, William J. Munro +1

Mapping a quantum algorithm to any practical large-scale quantum computer will require a sequence of compilations and optimizations. At the level of fault-tolerant encoding, one li…

cs.CL2019★ 1 cited

Classifying Vietnamese Disease Outbreak Reports with Important Sentences and Rich Features

Son Doan, Nguyen Thi Ngoc Vinh, Tu Minh Phuong

Text classification is an important field of research from mid 90s up to now. It has many applications, one of them is in Web-based biosurveillance systems which identify and summa…

cs.IR2019★ 35 cited

Global Health Monitor: A Web-based System for Detecting and Mapping Infectious Diseases

Son Doan, Quoc-Hung Ngo, Ai Kawazoe +1

We present the Global Health Monitor, an online Web-based system for detecting and mapping infectious disease outbreaks that appear in news stories. The system analyzes English new…

cs.CL2019★ 3 cited

An Empirical Study of Sections in Classifying Disease Outbreak Reports

Son Doan, Mike Conway, Nigel Collier

Identifying articles that relate to infectious diseases is a necessary step for any automatic bio-surveillance system that monitors news articles from the Internet. Unlike scientif…

cs.CL2019★ 5 cited

Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets

Saku Sugawara, Pontus Stenetorp, Kentaro Inui +1

Existing analysis work in machine reading comprehension (MRC) is largely concerned with evaluating the capabilities of systems. However, the capabilities of datasets are not assess…

eess.AS2019★ 1 cited

Transferring neural speech waveform synthesizers to musical instrument sounds generation

Yi Zhao, Xin Wang, Lauri Juvela +1

Recent neural waveform synthesizers such as WaveNet, WaveGlow, and the neural-source-filter (NSF) model have shown good performance in speech synthesis despite their different meth…

cs.CL2019

An Annotated Corpus of Reference Resolution for Interpreting Common Grounding

Takuma Udagawa, Akiko Aizawa

Common grounding is the process of creating, repairing and updating mutual understandings, which is a fundamental aspect of natural language conversation. However, interpreting the…

cs.CV2019★ 1 cited

Two-Stream FCNs to Balance Content and Style for Style Transfer

Duc Minh Vo, Akihiro Sugimoto

Style transfer is to render given image contents in given styles, and it has an important role in both computer vision fundamental research and industrial applications. Following t…

eess.AS2019★ 11 cited

ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech

Xin Wang, Junichi Yamagishi, Massimiliano Todisco +37

Automatic speaker verification (ASV) is one of the most natural and convenient means of biometric person recognition. Unfortunately, just like all other biometric systems, ASV is v…

cs.CV2019★ 1 cited

Security of Facial Forensics Models Against Adversarial Attacks

Rong Huang, Fuming Fang, Huy H. Nguyen +2

Deep neural networks (DNNs) have been used in digital forensics to identify fake facial images. We investigated several DNN-based forgery forensics models (FFMs) to examine whether…

eess.AS2019

Modeling of Rakugo Speech and Its Limitations: Toward Speech Synthesis That Entertains Audiences

Shuhei Kato, Yusuke Yasuda, Xin Wang +3

We have been investigating rakugo speech synthesis as a challenging example of speech synthesis that entertains audiences. Rakugo is a traditional Japanese form of verbal entertain…

cs.CV2019★ 132 cited

Use of a Capsule Network to Detect Fake Images and Videos

Huy H. Nguyen, Junichi Yamagishi, Isao Echizen

The revolution in computer hardware, especially in graphics processing units and tensor processing units, has enabled significant advances in computer graphics and artificial intel…

eess.AS2019

Effect of choice of probability distribution, randomness, and search methods for alignment modeling in sequence-to-sequence text-to-speech synthesis using hard alignment

Yusuke Yasuda, Xin Wang, Junichi Yamagishi

Sequence-to-sequence text-to-speech (TTS) is dominated by soft-attention-based methods. Recently, hard-attention-based methods have been proposed to prevent fatal alignment errors,…

cs.PL2019★ 2 cited

Declarative Semantics of the Hybrid Constraint Language HydLa

Kazunori Ueda, Hiroshi Hosobe, Daisuke Ishii

Hybrid systems are dynamical systems with continuous evolution of states and discrete evolution of states and governing equations. We have worked on the design and implementation o…

eess.IV2019★ 97 cited

Fixed Pattern Noise Reduction for Infrared Images Based on Cascade Residual Attention CNN

Juntao Guan, Rui Lai, Ai Xiong +2

Existing fixed pattern noise reduction (FPNR) methods are easily affected by the motion state of the scene and working condition of the image sensor, which leads to over smooth eff…

cs.LG2019★ 7 cited

Preliminary Systematic Literature Review of Machine Learning System Development Process

Yasuhiro Watanabe, Hironori Washizaki, Kazunori Sakamoto +5

Previous machine learning (ML) system development research suggests that emerging software quality attributes are a concern due to the probabilistic behavior of ML systems. Assumin…

cs.SE2019★ 17 cited

A Mutation-based Approach for Assessing Weight Coverage of a Path Planner

Thomas Laurent, Paolo Arcaini, Fuyuki Ishikawa +1

Autonomous cars are subjected to several different kind of inputs (other cars, road structure, etc.) and, therefore, testing the car under all possible conditions is impossible. To…

eess.AS2019★ 9 cited

Zero-Shot Multi-Speaker Text-To-Speech with State-of-the-art Neural Speaker Embeddings

Erica Cooper, Cheng-I Lai, Yusuke Yasuda +4

While speaker adaptation for end-to-end speech synthesis using speaker embeddings can produce good speaker similarity for speakers seen during training, there remains a gap for zer…

cs.CR2019★ 3 cited

Engineering Self-adaptive Authorisation Infrastructures

Lionel Montrieux, Rogerio de Lemos, Chris Bailey

As organisations expand and interconnect, authorisation infrastructures become increasingly difficult to manage. Several solutions have been proposed, including self-adaptive autho…

nlin.PS2019★ 4 cited

Solitonic fixed point attractors in the complex Ginzburg-Landau equation for associative memories

A. N. Pyrkov, T. Byrnes, V. V. Cherny

It was recently shown [V.V. Cherny, T. Byrnes, A.N. Pyrkov, \textit{Adv. Quantum Technol.} \textbf{2019} \textit{2}, 1800087] that the nonlinear Schrodinger equation with a simplif…