Saboteur-based fault injection for quantum circuits fault tolerance assessment

被引:0
|
作者
Boncalo, Oana [1 ]
Udrescu, Mihai [1 ]
Prodan, Lucian [1 ]
Vladutiu, Mircea [1 ]
Amaricai, Alexandru [1 ]
机构
[1] Politehnica Univ Timisoara, Dept Comp Sci & Engn, Res Grp, ACSA, Timisoara, Romania
来源
DSD 2007: 10TH EUROMICRO CONFERENCE ON DIGITAL SYSTEM DESIGN ARCHITECTURES, METHODS AND TOOLS, PROCEEDINGS | 2007年
关键词
simulated fault injection; quantum fault tolerance; quantum error models;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The importance of reliability and fault tolerance is paramount in quantum computation. This paper proposes a Fault Tolerance Algorithms and Methodologies (FTAM) assessment technique for quantum circuits, by adopting the saboteur-based Simulated Fault Injection methodology from classical computation. By drawing the inspiration from classical computation, the HDLs were employed for performing fault injection, due to their capacity of behavioral and structural circuit description, including hierarchical features. The cornerstone of this approach is the adaptation of the available quantum computation error models (with the quantum computing features and constraints) to the classical, HDL framework of the simulated fault injection techniques. The experimental simulated fault injection campaign results are consistent with the analytical assessments - from a qualitative point of view - but at the same time they provide a much realistic description.
引用
收藏
页码:634 / 640
页数:7
相关论文
共 50 条
  • [1] Using simulated fault injection for fault tolerance assessment of quantum circuits
    Boncalo, Oana
    Udrescu, Mihai
    Prodan, Lucian
    Vladutiu, Mircea
    Amaricai, Alexandru
    40TH ANNUAL SIMULATION SYMPOSIUM, PROCEEDINGS, 2007, : 213 - +
  • [2] Probabilistic Saboteur-based Simulated Fault Injection Techniques for Low Supply Voltage Interconnects
    Nimara, Sergiu
    Amaricai, Alexandru
    Boncalo, Oana
    Popa, Mircea
    2014 10TH CONFERENCE ON PH.D. RESEARCH IN MICROELECTRONICS AND ELECTRONICS (PRIME 2014), 2014,
  • [3] Fault Tolerance Assessment of PIC Microcontroller Based on Fault Injection
    Eghbal, Ashkan
    Zarandi, Hamid R.
    Yaghini, Pooria M.
    LATW: 2009 10TH LATIN AMERICAN TEST WORKSHOP, 2009, : 182 - 187
  • [4] Simulated fault injection for quantum circuits based on simulator commands
    Boncalo, Oana
    Udrescu, Mihai
    Prodan, Lucian
    Vladutiu, Mircea
    Amaricai, Alexandru
    SACI 2007: 4TH INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS, PROCEEDINGS, 2007, : 245 - +
  • [5] Fault injection-based assessment of aspect-oriented implementation of fault tolerance
    Alexandersson, Ruben
    Karlsson, Johan
    2011 IEEE/IFIP 41ST INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS (DSN), 2011, : 303 - 314
  • [6] Assessing quantum circuits reliability with mutant-based simulated fault injection
    Boncalo, Oana
    Udrescu, Mihai
    Prodan, Lucian
    Vladutiu, Mircea
    Amaricai, Alexandru
    2007 EUROPEAN CONFERENCE ON CIRCUIT THEORY AND DESIGN, VOLS 1-3, 2007, : 942 - 945
  • [7] Assessment of computer fault tolerance - a fault-injection toolset and the rationale behind it
    Lettner, R
    Prammer, M
    Scherrer, C
    Steininger, A
    COMPUTER STANDARDS & INTERFACES, 1999, 21 (04) : 357 - 369
  • [8] MEFISTO-L: A VHDL-based fault injection tool for the experimental assessment of fault tolerance
    Boue, J
    Petillon, P
    Crouzet, Y
    TWENTY-EIGHTH ANNUAL INTERNATIONAL SYMPOSIUM ON FAULT-TOLERANT COMPUTING, DIGEST PAPERS, 1998, : 168 - 173
  • [9] Simultaneous Improvement of Area, Delay, and Fault Tolerance in Quantum Circuits
    Nabizadeh, Zahra
    Sedighi, Mehdi
    Zamani, Morteza Saheb
    2013 17TH CSI INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE AND DIGITAL SYSTEMS (CADS 2013), 2013, : 59 - 64
  • [10] FAULT TOLERANCE IN REVERSIBLE LOGIC CIRCUITS AND QUANTUM COST OPTIMIZATION
    Arunachalam, Kamaraj
    Perumalsamy, Marichamy
    Ponnusamy, Kaviyashri K.
    COMPUTING AND INFORMATICS, 2020, 39 (05) : 1099 - 1116