• Title/Summary/Keyword: 양자시뮬레이션

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Quantum Computing Performance Analysis of the Ground-State Estimation Problem (기저상태계산 문제에 대한 양자컴퓨팅의 성능 분석)

  • Choi, Byung-Soo
    • Korean Journal of Optics and Photonics
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    • v.29 no.2
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    • pp.58-63
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    • 2018
  • As the quantum volume increases, we are about to use quantum computers for real applications. Therefore, it is necessary to investigate how much quantum-computational gain is achievable in the near future. In this work, we analyze a fault-tolerant quantum computing method for near-term applications such as the ground-state estimation problem. Based on quantitative analysis, we find that it is still necessary to improve the current fault-tolerant quantum computing. This work also discusses which parts should be improved to improve quantum computing performance.

Quantization Data Transmission for Optimal Path Search of Multi Nodes in cloud Environment (클라우드 환경에서 멀티 노드들의 최적 경로 탐색을 위한 양자화 데이터 전송)

  • Oh, HyungChang;Kim, JaeKwon;Kim, TaeYoung;Lee, JongSik
    • Journal of the Korea Society for Simulation
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    • v.22 no.2
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    • pp.53-62
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    • 2013
  • Cloud environment is one in the field of distributed computing and it consists of physical nodes and virtual nodes. In distributed cloud environment, an optimal path search is that each node to perform a search for an optimal path. Synchronization of each node is required for the optimal path search via fast data transmission because of real-time environment. Therefore, a quantization technique is required in order to guarantee QoS(Quality of Service) and search an optimal path. The quantization technique speeds search data transmission of each node. So a main server can transfer data of real-time environment to each node quickly and the nodes can perform to search optimal paths smoothly. In this paper, we propose the quantization technique to solve the search problem. The quantization technique can reduce the total data transmission. In order to experiment the optimal path search system which applied the quantized data transmission, we construct a simulation of cloud environment. Quantization applied cloud environment reduces the amount of data that transferred, and then QoS of an application for the optimal path search problem is guaranteed.

A Management Module for GUI-based Integration of Quantization Simulation Platform (양자화 시뮬레이션 플랫폼의 GUI-기반 통합을 위한 관리 모듈)

  • Lim, Chaemin;Cho, Sang-Young;Lim, Seung-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.941-944
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    • 2020
  • 신경망 모델 데이터의 양자화는 모델 크기를 줄이고 추론 시간을 단축할 수 있다. 본 논문에서는 양자화를 지원하는 시뮬레이션 플랫폼의 전체 동작 관리를 위한 관리 모듈에 대해 기술한다. 시뮬레이션 플랫폼이 다중 사용자를 지원하고 다양한 기능을 지원하기 때문에 효율적인 관리 모듈의 구현은 중요하다. 관리 모듈은 웹 서비스의 후위단으로 설계되었으며 라우터와 이벤트 수신자, 프로세스 관리자, 파일 관리자, 세션 관리자, 보조 기능 등을 구현하였다.

Modeling of Nano-scale FET(Field Effect Transistor : FinFET) (나노-스케일 전계 효과 트랜지스터 모델링 연구 : FinFET)

  • Kim, Ki-Dong;Kwon, Oh-Seob;Seo, Ji-Hyun;Won, Tae-Young
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.41 no.6
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    • pp.1-7
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    • 2004
  • We performed two-dimensional (20) computer-based modeling and simulation of FinFET by solving the coupled Poisson-Schrodinger equations quantum-mechanically in a self-consistent manner. The simulation results are carefully investigated for FinFET with gate length(Lg) varying from 10 to 80nm and with a Si-fin thickness($T_{fin}$) varying from 10 to 40nm. Current-voltage (I-V) characteristics are compared with the experimental data. Device optimization has been performed in order to suppress the short-channel effects (SCEs) including the sub-threshold swing, threshold voltage roll-off, drain induced barrier lowering (DIBL). The quantum-mechanical simulation is compared with the classical appmach in order to understand the influence of the electron confinement effect. Simulation results indicated that the FinFET is a promising structure to suppress the SCEs and the quantum-mechanical simulation is essential for applying nano-scale device structure.

Research Trends in Quantum Machine Learning (양자컴퓨팅 & 양자머신러닝 연구의 현재와 미래)

  • J.H. Bang
    • Electronics and Telecommunications Trends
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    • v.38 no.5
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    • pp.51-60
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    • 2023
  • Quantum machine learning (QML) is an area of quantum computing that leverages its principles to develop machine learning algorithms and techniques. QML is aimed at combining traditional machine learning with the capabilities of quantum computing to devise approaches for problem solving and (big) data processing. Nevertheless, QML is in its early stage of the research and development. Thus, more theoretical studies are needed to understand whether a significant quantum speedup can be achieved compared with classical machine learning. If this is the case, the underlying physical principles may be explained. First, fundamental concepts and elements of QML should be established. We describe the inception and development of QML, highlighting essential quantum computing algorithms that are integral to QML. The advent of the noisy intermediate-scale quantum era and Google's demonstration of quantum supremacy are then addressed. Finally, we briefly discuss research prospects for QML.

Efficient Post-Processing for Quantum Communication Systems (양자 통신 시스템의 효율적 후처리 방식)

  • Lee, Sun Yui;Jung, Kuk Hyun;Kim, Jin Young
    • Journal of Satellite, Information and Communications
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    • v.9 no.4
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    • pp.7-12
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    • 2014
  • Quantum cryptography is one of the most feasible fields using quantum mechanics. Therefore, quantum cryptography has consistently been researched, and a variety of cryptographic exchange method has been developed, such as BB84, etc. This paper explains a basic concept of quantum communications and quantum key distribution systems using quantum mechanics. Also, it introduces a reason of the development of quantum cryptography and attack scenarios which threaten the security of QKD. Finally, the experiment of this paper simulates quantum key attack by estimating qubit phases through a modeled quantum channel, and discusses needs of post-processing methods for overcoming eavesdropping.

Quantum Price Estimation Model using Bayesian Network (베이지안 네트워크 기반 양자 가격 예측 모델)

  • Kim, Juon;Yun, Seok-Min;Shin, Soyoung;Kim, Aeyoung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.05a
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    • pp.269-272
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    • 2021
  • 본 논문에서는 변수간의 다양한 관계 분석 또는 예측 모델에 많이 적용되는 베이지안 네트워크 모델에 대한 양자 회로를 설계하고, 설계한 양자 회로를 '모여봐요! 동물의 숲' 게임에서 진행되는 무 거래에 대한 무값을 예측하는 시나리오에 적용했다. 제안한 양자 가격 예측 모델은 양자 회로로 표현했으며 IBM 의 Qiskit 을 이용해 구현하였다. 구현한 회로는 시뮬레이션 백엔드 뿐만아니라 IBM 에서 클라우드로 제공하는 실제 양자 컴퓨터 2 종의 백엔드에 실행하였고, 실행 결과와 설계한 회로를 바탕으로 제안한 모델의 성능을 분석하여 제안 모델의 효용성을 보였다.

Optimization of Quantum Dot Structures for High Power 808 run Laser Diode (고출력 808 nm 레이저 다이오드를 위한 양자점 구조 최적화)

  • Son, Sung-Hun;Kim, Kyoung-Chan;Chan, Trevor;Seo, Yu-Jeong;Kim, Tae-Geun
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2010.06a
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    • pp.130-130
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    • 2010
  • 고출력 레이저 다이오드는 광 디스크, 고체 레이저 여기, 광섬유 증폭기, 레이저 프린터, 위성 간 통신 등의 여러분야에 응용되고 있고. 고효율, 저가격, 초소형등과 같은 장점으로 수요가 점점 증가하고 있다. 최근 레이저 다이오드의 광출력 향상 및 열적 안성성를 위해 양자점(Quantum Dot) 응용에 대해 많은 연구가 진행되고 있다. 양자점 기반 레이저 다이오드는 전자가 3차원으로 구속되어 있어 열적 안정성이 우수할 뿐만 아니라 낮은 문턱전류밀도로 인해 열 발생이 적어 광출력 감소 현상을 지연시킬 수 있다. 또한 발광면에서의 재결합 확률이 낮아 표면재결합에 의한 신뢰성 열화 문제를 해결할 수 있어 고신뢰성의 레이저 다이오드를 개발할 수 있다. 고출럭 808 nm 양자점 레이저 다이오드 개발을 위해서는 레이저 다이오드의 활성 영역인 양자점 구조에 대한 연구가 필수적이다. 본 연구에서는 최적화된 고출력 808 nm 양자점 레이저 다이오드 에피 성장을 위해 에피 구조에 대한 2D 시뮬레이션을 수행하였고, 양자점 밀도 및 에피층 변화에 따른 최적 양자점 구조에 대한 연구를 수행하였다.

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Quantization Performances and Iteration Number Statistics for Decoding Low Density Parity Check Codes (LDPC 부호의 복호를 위한 양자화 성능과 반복 횟수 통계)

  • Seo, Young-Dong;Kong, Min-Han;Song, Moon-Kyou
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.45 no.2
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    • pp.37-43
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    • 2008
  • The performance and hardware complexity of LDPC decoders depend on the design parameters of quantization, the clipping threshold $c_{th}$ and the number of quantization bits q, and also on the maximum number of decoding iterations. In this paper, the BER performances of LDPC codes are evaluated according to the clipping threshold $c_{th}$ and the number of quantization bits q through the simulation studies. By comparing the quantized Min-Sum algorithm with the ideal Min-Sum algorithm, it is shown that the quantized case with $c_{th}=2.5$ and q=6 has the best performance, which approaches the idea case. The decoding complexities are calculated and the word error rates(WER) are estimated by using the pdf which is obtained through the statistical analyses on the iteration numbers. These results can be utilized to tradeoff between the decoding performance and the complexity in LDPC decoder design.

Shockwave Simulations and Visualization for Teaching Quantum Chemistry (양자화학 교육을 위한 쇽웨이브 시뮬레이션 및 시각화)

  • Lee, Chang-Jae
    • Journal of the Korean Chemical Society
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    • v.53 no.2
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    • pp.166-174
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    • 2009
  • Quantum chemistry has many concepts that are either abstract or counterintuitive, giving students difficulties in understanding them. Fortunately, the advancement of web technologies provides us with hordes of powerful tools to produce rich multimedia web applications that supplement traditional classroom teaching. In this paper we present an approach to address this issue that combines interactive simulations and visualization on the web browser using Shockwave technology. With several examples, we show how to take advantage of the features of the Shockwave technology in developing web-based course material with ease.