Ntt Inc · TSE:9432

Ntt — Investor Day (September 2019)

19 slides from Ntt's investor day presentation, Sep 26, 2019

  1. Slide 1: Quantum Neural Network (QNN) - Connecting Quantum and Brain with Optics

    Quantum Neural Network (QNN) - Connecting Quantum and Brain with Optics - Yoshihisa Yamamoto NTT Physics & Informatics Laboratories Stanford (2014) NTT (2016) NTT (2019) 4 neurons, 12 synapses 2K neurons, 4M synapses Prototype NTT IR Day (Tokyo, September 26, 2019)

  2. Slide 2: What problems to be solved?

    What problems to be solved? 2

  3. Slide 3: Combinatorial Optimization Problems

    Combinatorial Optimization Problems https://ja.storyblocks.com/stock- https://www.semanticscho image/smart-city-and-wireless- lar.org/paper/Filamentous communication-network- -supramolecular-peptide- abstract-image-visual-internet-of- drug-conjugates-Yang- things-mono-blue-tone-- Xu/a3062f178bde8f7b

  4. Slide 4: Lead Optimization

    Lead Optimization  Drug discovery:  Biocatalyst discovery: Identify a group of compounds that Identify a group of proteins that can are attached most stably to a target protein. capture most stably a target compound. Protein Search space Search space ~ 1046 (compounds) ~ 10690 (proteins) Machine s

  5. Slide 5: Compressed Sensing (Sparse Coding)

    Compressed Sensing (Sparse Coding) original data (N) observation (scattering) matrix observation data (M) Black Hole MRI/CT iteration Solve N0 unknowns Identify non-zero components (N0) (inverse matrix computation) (support estimate) Recovery Efficiency a = 𝑁0 Τ𝑁 Optimum QNN (QNN) QNN saturates…

  6. Slide 6: Quantum Computing – Dream or Nightmare

    Quantum Computing – Dream or Nightmare - 6

  7. Slide 7: The Idea of Quantum Computing

    The Idea of Quantum Computing  Superposition A gate voltage in classical computer is either 0(V) or 1(V), while qubit in quantum computer is simultaneously l0> state and l1> state. first qubit second qubit N-th qubit 1 1 1 ȁ0ۧ + ȁ1ۧ 1 ⊗ ȁ0ۧ + ȁ1ۧ 2 ∙∙∙∙∙∙∙∙∙∙∙∙⊗ ȁ0ۧ + ȁ1ۧ 𝑁 2 2 2 1 = ȁ0ۧ1 ȁ0ۧ2 ∙∙∙

  8. Slide 8: Weakness of Quantum Computing

    Weakness of Quantum Computing Grover (optimum) algorithm (1997) Time-to-Solution by an ideal quantum computer for the Combinatorial Optimization Problem (Ising model) Probability =1 Problem Size N (bits) Time-to-Solutions Ts 20 4 x 10-3 s Probability Amplitude 50 6 x 102 s 2𝑁 repetitions →…

  9. Slide 9: NTT's Vision - Let's try a fundamentally different approach

    NTT’s Vision - Let’s try a fundamentally different approach - 9

  10. Slide 10: Quantum Neural Network (QNN)

    Quantum Neural Network (QNN)  From quantum only to quantum and classical simultaneously Artificial two-level atom @ 10 mK Optical parametric oscillator @ 300 K Quantum Classical Quantum Classical Digital Digital above threshold https://web.physics.ucsb.edu/~ martinisgroup/photos/SurfaceCo https://o

  11. Slide 11: Why do we need classical resources?

    Why do we need classical resources ? - Irreversible Decision Making and Exponential Amplitude Amplification - Spontaneous symmetry breaking Yoichiro Nambu Quantum correlation induced Exponential amplitude amplification collective symmetry breaking in optical parametric oscillators for decision makin

  12. Slide 12: Time-to-Solution for the Combinatorial Optimization Problems (Ising model)

    Time-to-Solution for the Combinatorial Optimization Problems (Ising model) Experimental Quantum Heuristic Machines Theoretical Problem Size Quantum * ** *** Quantum Computing Quantum Computing Quantum Annealing Neural Network N = 20 4 x 10-3 (s) 6 x 102 (s) 1.1 x 10-5 (s) 1.0 x 10-4 (s) ~107 N = 55

  13. Slide 13: NTT Laboratories - Past 40 years and next 40 years

    NTT Laboratories - Past 40 years and next 40 years - 13

  14. Slide 14: Basic Research on Quantum Computing at NTT Laboratories – Past 40 years

    Basic Research on Quantum Computing at NTT Laboratories – Past 40 years – 1980 1990 2000 2010 2020 1979 1986 1988 1995 2002 2014 2016 2019 Coherent optical Optical parametric Differential Phase Scalable communications oscillator with Shift (DPS) quantum quantum proposed measurement- communication ne

  15. Slide 15: Basic Research on Quantum Computing at NTT Laboratories - Next 40 Years

    Basic Research on Quantum Computing at NTT Laboratories - Next 40 Years - Next Frontier Industry-Academia Open Laboratory 15

  16. Slide 16: Future Prospect

    Future Prospect 16

  17. Slide 17: A human brain is already a quantum computer?

    A human brain is already a quantum computer? A. Levina et al., Nat. Phys. 3, 857 (2007); D. R. Chialvo et al., Nat. Phys. 6, 744 (2010) At the oscillation threshold of Ising spin networks, 1. spin-to-spin correlation occurs across all scales (→ communication) 2. randomness is maximum (→ information

  18. Slide 18: Scalability of Three Quantum Machines and Human Brain

    Scalability of Three Quantum Machines and Human Brain Number of Neurons (Spins) Number of Synapses Number of Neurons Problem size Number of Synapses Computational Capability 19

  19. Slide 19: Thank you

    Thank you NTT Physics & Informatics Laboratories https://ntt-research.com/phi/ NTT Basic Research Laboratories https://www.brl.ntt.co.jp/e/index.html 19

NTT — Investor Day (September 2019) on 6ix