• Title/Summary/Keyword: Quantum Circuit Optimization

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Design and Characteristic of the SFQ Confluence buffer and SFQ DC switch (SFQ 컨플런스 버퍼와 DC 스위치의 디자인과 특성)

  • 김진영;백승헌;정구락;임해용;박종혁;강준희;한택상
    • Proceedings of the Korea Institute of Applied Superconductivity and Cryogenics Conference
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    • 2003.10a
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    • pp.113-116
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    • 2003
  • Confluence buffers and single flux quantum (SFQ) switches are essential components in constructing a high speed superconductive Arithmetic Logic Unit (ALU). In this work, we developed a SFQ confluence buffer and an SFQ switch. It is very important to optimize the circuit parameters of a confluence buffer and an SFQ switch to implement them into an ALU. The confluence buffer that we are currently using has a small bias margin of $\pm$11%. By optimizing it with a Josephson circuit simulator, we improved the design of confluence buffer. Our simulation study showed that we improved bias global margin of 10% more than the existent confluence buffer. In simulations, the minimal bias margin was $\pm$33%. We also designed, fabricated, and tested an SFQ switch operating in a DC mode. The mask layout used to fabricate the SFQ switch was obtained after circuit optimization. The test results of our SFQ switch showed that it operated correctly and had a reasonably wide margin of $\pm$15%.

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Circuit design of an RSFQ counter for voltage standard applications (전압 표준용 RSFQ counter회로의 설계)

  • 남두우;김규태;김진영;강준희
    • Proceedings of the Korea Institute of Applied Superconductivity and Cryogenics Conference
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    • 2003.10a
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    • pp.127-130
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    • 2003
  • An RSFQ (Rapid Single Flux Quantum) counter can be used as a frequency divider that was an essential part of a programmable voltage standard chip. The voltage standard chip is composed of two circuit parts, a counter and an antenna Analog signal of tens to hundreds ㎓ may be applied to a finline antenna part. This analog signal can be converted to the stream of SFQ voltage pulses by a DC/SFQ circuit. The number of voltage pulses can be reduced by 2n times when they pass through a counter that is composed of n T Flip-Flops (Toggle Flip-Flop). Such a counter can be used not only as a frequency divider, but also to build a programmable voltage standard chip. So, its application range can be telecommunication, high speed RAM, microprocessor, etc. In this work, we have used Xic, WRspice, and L-meter to design an RSFQ counter. After circuit optimization, we could obtain the bias current margins of the T Flip-Flop circuit to be above 31% Our RSFQ counter circuit designs were based on the 1 ㎄/$\textrm{cm}^2$ niobium trilayer technology.

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Fault Diagnosis of Transformer Based on Self-powered RFID Sensor Tag and Improved HHT

  • Wang, Tao;He, Yigang;Li, Bing;Shi, Tiancheng
    • Journal of Electrical Engineering and Technology
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    • v.13 no.5
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    • pp.2134-2143
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    • 2018
  • This work introduces a fault diagnosis method for transformer based on self-powered radio frequency identification (RFID) sensor tag and improved Hilbert-Huang transform (HHT). Consisted by RFID tag chip, power management circuit, MCU and accelerometer, the developed RFID sensor tag is used to acquire and wirelessly transmit the vibration signal. A customized power management including solar panel, low dropout (LDO) voltage regulator, supercapacitor and corresponding charging circuit is presented to guarantee constant DC power for the sensor tag. An improved band restricted empirical mode decomposition (BREMD) which is optimized by quantum-behaved particle swarm optimization (QPSO) algorithm is proposed to deal with the raw vibration signal. Compared with traditional methods, this improved BREMD method shows great superiority in reducing mode aliasing. Then, a promising fault diagnosis approach on the basis of Hilbert marginal spectrum variations is brought up. The measured results show that the presented power management circuit can generate 2.5V DC voltage for the rest of the sensor tag. The developed sensor tag can achieve a reliable communication distance of 17.8m in the test environment. Furthermore, the measurement results indicate the promising performance of fault diagnosis for transformer.

Light Trapping in Silicon Based Tandem Solar Cell: A Brief Review

  • Iftiquar, Sk Md;Park, Hyeongsik;Dao, Vinh Ai;Pham, Duy Phong;Yi, Junsin
    • Current Photovoltaic Research
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    • v.4 no.1
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    • pp.1-7
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    • 2016
  • Among the various types of solar cells, silicon based two terminal tandem solar cell is one of the most popular one. It is designed to split the absorption of incident AM1.5 solar radiation among two of its component cells, thereby widening the wavelength range of external quantum efficiency (EQE) spectra of the device, in comparison to that of a single junction solar cell. In order to improve the EQE spectra further and raise short circuit current density ($J_{sc}$) an optimization of the tradeoff between the top and bottom cell is needed. In an optimized cell structure, the $J_{sc}$ and hence efficiency of the device can further be enhanced with the help of light trapping scheme. This can be achieved by texturing front and back surface as well as a back reflector of the device. In this brief review we highlight the development of light trapping in the silicon based tandem solar cell.

Post-Quantum Security Evaluation Through SPECK Quantum Circuit Optimization (SPECK 양자 회로 최적화를 통한 양자 후 보안 강도 평가)

  • Jang, Kyung-Bae;Eum, Si-Woo;Song, Gyeong-Ju;Yang, Yu-jin;Seo, Hwa-Jeong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.243-246
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    • 2021
  • 양자 알고리즘이 수행 가능한 양자 컴퓨터는 기존 암호 시스템의 보안성을 낮추거나 깨뜨릴 수 있다. 이에 양자 컴퓨터의 공격 관점에서 기존 암호 시스템의 보안성을 재평가하는 연구들이 활발히 수행되고 있다. NIST는 대칭키 암호 시스템에 대한 양자 후 보안 강도에 평가에 Grover 알고리즘의 적용 비용을 채택하고 있다. Grover 알고리즘이 대칭키 암호 시스템의 보안성을 절반으로 줄일 수 있는 시점에서 중요한 건 공격 비용이다. 본 논문에서는 경량블록암호 SPECK 양자 회로 최적화 구현을 제시한다. ARX 구조의 SPECK에 대해 최적의 양자 덧셈기를 채택하고 병렬 덧셈을 수행한다. 그 결과, 최신 구현물과 비교하여 depth 측면에서 56%의 성능향상을 제공한다. 최종적으로, 제시하는 SPECK 양자 회로를 기반으로 Grover 알고리즘 적용 비용을 추정하고 양자 후 보안 강도를 평가한다.

Optimization for LEA Quantum Circuit for Applying Grover's Algorithm (그루버 알고리즘 적용을 위한 LEA 양자 회로 최적화)

  • Jang, Kyung-Bae;Kim, Hyun-Jun;Park, Jae-Hoon;Seo, Hwa-Jeong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.405-408
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    • 2020
  • 양자 컴퓨터를 활용한 양자 알고리즘은 우리가 현재 사용하고 있는 많은 암호들의 안전성을 깨뜨릴 수 있다. 그루버 알고리즘을 n-bit 보안레벨을 가지는 대칭키 암호에 적용한다면 보안레벨을 O(2n/2)까지 낮출 수 있다. 그루버 알고리즘을 적용하기 위해서는 우선 대상 암호가 양자 회로로 구현되어야 한다. 때문에 대상 블록암호를 양자 회로로 최적화하는 연구들이 최근 활발히 진행되고 있다. 이에 본 논문에서는 국산 경량 블록암호 LEA를 양자 회로에서 최적화 하였다. 기존의 LEA 양자 회로구현과 비교하여 양자 게이트는 더 많이 사용하였지만, 큐빗을 획기적으로 줄일 수 있었으며 이에 대한 성능 평가를 수행하였다. 마지막으로 제안하는 LEA 구현에 그루버 알고리즘을 적용하기 위한 양자 자원을 평가하였다.

Implementation of quantum circuit optimization for SIMECK (SIMECK에 대한 양자회로 최적화 구현)

  • Song, Gyeong-Ju;Jang, Kyung-Bae;Sim, Min-Joo;Seo, Hwa-Jeong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.97-99
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    • 2022
  • 대규모 양자컴퓨터가 등장하면 기존 암호체계가 더 이상 안전하지 않을 것이라 예상한다. 양자 알고리즘인 Grover's brute-force 알고리즘은 대칭키 암호에 대한 attack을 가속화 시켜 보안강도를 감소시킨다. 따라서 양자컴퓨터의 가용 자원이 암호공격에 필요한 자원에 도달했을 때, 공격 대상 암호가 깨지는 시점으로 보고 있다. 많은 선행 연구들은 암호를 양자회로로 구현하여 공격에 필요한 자원을 추정하고 암호에 대한 양자 강도를 확인하였다. 본 논문에서는 이러한 연구동기로 ARX 구조의 SIMECK 경량암호에 대한 양자회로를 처음으로 제안한다. 우리는 SIMECK 양자회로에 대한 최적의 양자회로 구현을 제시하고 각 함수의 동작을 설명한다. 마지막으로 SIMECK 양자회로에 대한 양자자원을 추정하고 SIMON 양자회로와 비교하여 평가한다.

A Study on the Implementation Method of Quantum Circuit Optimization for Cipher (암호의 양자 회로 최적화 구현 방법에 대한 연구)

  • Yu-Jin Yang;Kyung-Bae Jang;Se-Jin Lim;Yu-Jin Oh;Hwa-Jeong Seo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.05a
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    • pp.168-171
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    • 2023
  • 양자 컴퓨터가 발전됨에 따라 이와 관련된 연구들이 꾸준히 발표되고 있다. 그 중 양자 컴퓨터의 응용과 밀접한 연관이 있는 양자 회로 최적화 연구는 양자 컴퓨터 환경에서의 암호 공격 비용 추정 연구에서 핵심으로 여겨진다. 본 논문에서는 양자 회로 최적화를 위한 방법과 암호 구현 분야에서 이를 적용한 논문들에 대해 살펴보고자 한다.

A Survey of Genetic Programming and Its Applications

  • Ahvanooey, Milad Taleby;Li, Qianmu;Wu, Ming;Wang, Shuo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.4
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    • pp.1765-1794
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    • 2019
  • Genetic Programming (GP) is an intelligence technique whereby computer programs are encoded as a set of genes which are evolved utilizing a Genetic Algorithm (GA). In other words, the GP employs novel optimization techniques to modify computer programs; imitating the way humans develop programs by progressively re-writing them for solving problems automatically. Trial programs are frequently altered in the search for obtaining superior solutions due to the base is GA. These are evolutionary search techniques inspired by biological evolution such as mutation, reproduction, natural selection, recombination, and survival of the fittest. The power of GAs is being represented by an advancing range of applications; vector processing, quantum computing, VLSI circuit layout, and so on. But one of the most significant uses of GAs is the automatic generation of programs. Technically, the GP solves problems automatically without having to tell the computer specifically how to process it. To meet this requirement, the GP utilizes GAs to a "population" of trial programs, traditionally encoded in memory as tree-structures. Trial programs are estimated using a "fitness function" and the suited solutions picked for re-evaluation and modification such that this sequence is replicated until a "correct" program is generated. GP has represented its power by modifying a simple program for categorizing news stories, executing optical character recognition, medical signal filters, and for target identification, etc. This paper reviews existing literature regarding the GPs and their applications in different scientific fields and aims to provide an easy understanding of various types of GPs for beginners.