V.I. Hahanov, Dr Sc. (Eng.), I.В. Iemelianov, post-graduate student, M.M. Liubarskyi, post-graduate student, S.V. Chumachenko, Dr Sc. (Eng.), E.I. Litvinova, Dr Sc. (Eng.),
National University of Radioelectronics of Kharkov
Kharkov, 61166, Ukraine,
Èlektron. model. 2018, 40(1):63-80
One of the possible solutions to the problem of creating and testing the theory and methods of quantum memory-driven computing on the classical computers for their subsequent application in all fields of human activity is proposed. Engineering-focused definitions of computing types, including quantum ones, are used, including the notions of superposition and entanglement, and also memory-driven computing. The necessity of joint and parallel solution of the problem of creation of a market-accessible quantum computer and development of quantum-focused applications and cloud services is explained. Examples of quantum memory-driven design and test of digital circuit fragments are presented. A method for synthesizing and minimizing tests for black-box functionality is proposed, using a matrix of qubit derivatives and a sequencer for defining
a quasi-optimum coverage.
test synthesis, qubit coverage, memory-driven computing, digital circuit, Boolean qubit derivative, fault simulation.
1. Almudever, C.G. et al. (2017), The engineering challenges in quantum computing, Design, Automation & Test in Europe Conference & Exhibition (DATE), Lausanne, pp. 836-845.
2. Nielsen, M.A. and Chuang, I.L. (2010), Quantum computation and quantum information, Cambridge University Press, Cambrige, UK.
3. Williams, R.S. (2017), What’s Next? [The end of Moore’s law], Computing in Science & Engineering, Vol. 19, no. 2, pp. 7-13.
4. Available at: https://www.labs.hpe.com/next-next/mdc.
5. Singh, J. and Singh, M. (2016), Evolution in quantum computing, Int. Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, 2016, pp. 267-270.
6. Shaikh, T.A. and Ali, R. (2016), Quantum computing in big data analytics: A Survey, IEEE Int. Conference on Computer and Information Technology (CIT), Nadi, 2016, pp. 112-115.
7. Vandersypen, L. and van Leeuwenhoek, A. (2017), 1.4 Quantum computing - the next challenge in circuit and system design, IEEE International Solid-State Circuits Conference (ISSCC), San Francisco, CA, 2017, pp. 24-29.
8. Hahanov, V. et al. (2017), Qubit test synthesis of the functionality, The 14th International Conference The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM), Lviv, 2017, pp. 251-255.
9. Hahanov, I., Chumachenko, S., Iemelianov, I., Hahanov, V., Larchenko, L. and Daniyil, T. Deductive qubit fault simulation, The 14th Int. Conference The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM), Lviv, 2017, pp. 256-259.
10. Hahanov, V.I., Tamer Bani Amer, Chumachenko, S.V. and Litvinova, E.I. (2015), “Qubit technologies for analysis and diagnostics od digital devices”, Elektronnoe modelirovanie, Vol. 37, no. 3, pp. 17-40.
11. Hahanov, V.I., Iemelianov, I.V., Liubarskyi, M.M. et al. (2017), “Qubit method of deductive analysis of failures for logical schemes”, Elektronnoe modelirovanie, Vol. 39, no. 6,