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Paris Quantum Computing & Technologies Meetup #1

The slides of the first Meetup of the Quantum Technology community in Paris ! Hosted on 10/16/2018 at WeWork Lafayette
Contribtutors
- Chris Erven CEO of KETS Quantum Security
- Michael Marthaler CEO of Heisenberg Quantum Simulations
- Wojciech Burkot CPO of Beit, on quantum optimization
- Christophe Jurczak CEO of Quantonation, on VC funding

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Paris Quantum Computing & Technologies Meetup #1

  1. 1. 16/10/2018
  2. 2. Quantum Technology Enterprise Centre Overview of Programme themes Quarter 1 Scientist to Entrepreneur, Technology Roadmaps & Market Intelligence Quarter 2 Understanding the Market: Technology- Market Fit, Business Models & Value Chain Quarter 3 Raising Capital & Building the Business Quarter 4 Launching the Business Apply online via tinyurl.com/qtecfellow18 Each year, QTEC provides 10 Fellowship positions to the quantum community. This provides exceptional individuals who have an idea for a quantum-based technology with the necessary support and training to develop their design into a sustainable venture. Fellows receive: • Access to a world-leading network; • MBA-level training; • Free financial and in-kind support; • Mentoring from in-house experts; • £12,000 travel & consumables budget; and • A competitive £28,000 salary. QTEC’s mission is to develop the thought leaders and entrepreneurs who will take quantum technologies out of the lab and into the real world. A world-leading incubator for quantum-based technology innovators.
  3. 3. Software, Middleware, & Consulting Quantum computers, still being programmed in ‘assembly’ language, don’t yet have a ‘quantum C’. These companies will translate commercial problems into instructions which a quantum machine understands. Benchmarking and fab services. Computing New computing paradigm which is fundamentally faster at certain tasks (e.g. hidden subgroup problem – Shor’s algorithm, Grover’s search, machine learning, linear equations). Quantum Technologies Simulation Quantum simulation seems possible without a full quantum computer. Two flavours – analogue (map your problem to a similar system) and digital (use Sensing & Imaging The widest QT field and one of the nearest to market. Original proposal was Quantum Metrology – increased phase sensitivity with light. Now a myriad of different sensors making use of a wide variety of physical effects. Communications & Cryptography The other nearest to market technology. Uses fundamental laws of physics Components A growing sector producing components which larger quantum technologies are built upon. Applications: Clocks – GPS & Gravity, Microbial Testing, Methane Gas Leaks, Minute Magnetic Fields, Covert LIDAR to ensure security. Two flavours – discrete variable (DV) and continuous variable (CV). Need for a data bus in a QC and connecting QC’s via a quantum internet. Applications: Quantum Encryption, Communication, Quantum Computing Bus Interface standard discretization algorithm). Key concern is bounding the errors in simulations – i.e. making sure results are meaningful. Applications: Drug Discovery, Efficient Fertiliser, Fundamental Physics Simulations, Ground State Energy Calculations Applications: Quantum Computing, Quantum Simulation, Optimisation QuPIC Applications: Single Photon Sources and Detectors, High-Quality Substrates, Improvements in Control & Fab QTIC
  4. 4. Integrated Photonics Uses photonic integrated circuits to generate, control, and detect photonic quantum states of light. Ion Traps Ions (charged particles) are suspended in free-space, using RF fields, to produce a chain of qubits which are manipulated optically. Applications: Quantum Encryption & Communication, Metrology, Simulation, Quantum Computing Superconducting Uses superconducting circuits to build qubits (phase, charge, or flux qubits) that can then be addressed with RF microwave controls. QC Models Gate – analogous to conventional computing, operating on the quantum information proceeds as a set of gate operations (like the classical ‘NAND’ gate). Cluster State – create a complicated entangled state, a specific measurement sequence then performs effective operations on the quantum information. Adiabatic – problems are mapped onto a similar physical system, then cooled to find the ground state which contains the answer (e.g. optimisation). Pros: • Low decoherence (error) rates • Photons natural for communication • 1 qubit gates easy Cons: • Filtering is hard • 2 qubit gates are hard • Detectors require cryogenic temps Artificial Atoms Engineered structures that behave like an atom/ion (e.g. NV Centres, dopant atoms in silicon, quantum dots). QTEC Vision – Create the quantum entrepreneurs of the future who will be the foundation, pillars, and growth of the Quantum Industry. Mission – 1) Develop entrepreneurs who will take QT from lab -> real world 2) Build the eco-system to support the incubation of early-stage quantum technology start-ups Mission – QTEC Fellows with clearly articulated business propositions by Q2. Quantum Platforms Applications: Single Photon Sources, Quantum Communication, Quantum Memories, Quantum Computing Pros: • Long coherence times • High fidelity • Engineered properties • Can use “standard” fabrication Cons: • Embedding in larger circuits can be hard • <100% collection efficiency • 2 qubit gates are hard Pros: • Largest number of demonstrated qubits • Uses “standard” fabrication techniques Cons: • Requires complex cryogenic systems • Shorter decoherence times • Cross-talk, scale-up, & error correction hardApplications: Optimisation, Simulation, Quantum Computing Pros: • Highest fidelity 2 qubit gates • Potential for communication/bus • Exquisite control Cons: • Scaling challenges • Communication between traps (entangling 2 traps) non-deterministic Applications: Communication, Memories, Quantum Computing
  5. 5. QUANTUM KEY DISTRIBUTION (QKD) PRIMER www.kets-quantum.com Quantum Attacks Classical Attacks Key Benefits: Increased Security Future Proof Eavesdropper Detection
  6. 6. QUANTUM KEY DISTRIBUTION www.kets-quantum.com ALICE RANDOM BITS 0 1 1 0 1 0 0 1 ALICE RANDOM BASIS PHOTON POLARISATION BOBS RANDOM BASIS MEASURE BOBS MEASURED PUBLIC BASIS DISCUSSION YES YES YES YES SHARED KEY 0 1 0 1
  7. 7. QUANTUM KEY DISTRIBUTION www.kets-quantum.com | ⟩0 | ⟩1 | ⟩+ | ⟩− Time BinPolarisationQubit 0 π
  8. 8. QUANTUM KEY DISTRIBUTION www.kets-quantum.com | ⟩0 | ⟩1 | ⟩+ | ⟩− Time BinPolarisationQubit 0 π
  9. 9. QUANTUM KEY DISTRIBUTION www.kets-quantum.com | ⟩0 | ⟩1 | ⟩+ | ⟩− Time BinPolarisationQubit 0 π
  10. 10. QUANTUM KEY DISTRIBUTION www.kets-quantum.com | ⟩0 | ⟩1 | ⟩+ | ⟩− Time BinPolarisationQubit 0 π
  11. 11. QUANTUM KEY DISTRIBUTION www.kets-quantum.com | ⟩0 | ⟩1 | ⟩+ | ⟩− Time BinPolarisationQubit 0 π ARM0 ARM1 | ⟩0 | ⟩+ | ⟩1 | ⟩0 | ⟩− | ⟩1
  12. 12. KETS’ TECHNOLOGY www.kets-quantum.com SCALABLE MANUFACTURE HIGH PERFORMANCESMALL FOOTPRINT LOW WEIGHT LOW POWER EAVESDROPPER DETECTIONINCREASED SECURITY FUTURE PROOF UK Patents: GB1504047.0, GB1615032.8
  13. 13. www.kets-quantum.com
  14. 14. www.kets-quantum.com
  15. 15. www.kets-quantum.com
  16. 16. TEAM www.kets-quantum.com Chris Erven CEO Philip Sibson CTO Jake Kennard Technical Sales Claudio Marinelli Non-Exec Director Caroline Clark Director of Operations
  17. 17. www.kets-quantum.com WHY ARE WE DIFFERENT? KETS is the only company with a complete integrated on-chip quantum encryption solution to secure the information technology of the 21st century and beyond.
  18. 18. www.kets-quantum.com Chris Erven chris.erven@kets-quantum.com +44 (0) 791 469 0411
  19. 19. Michael Marthaler Michael Marthaler1
  20. 20. Predicting molecular properties Michael Marthaler2
  21. 21. Predicting molecular properties: reaction path Michael Marthaler3
  22. 22. Predicting molecular properties: light emission Michael Marthaler4
  23. 23. Predicting molecular properties: diffusion in a liquid Michael Marthaler5
  24. 24. Predicting molecular properties: phenomenological Michael Marthaler6
  25. 25. Predicting molecular properties: molecular dynamics Michael Marthaler7
  26. 26. Predicting molecular properties: quantum mechanics Michael Marthaler8
  27. 27. Predicting molecular properties Reactions: Michael Marthaler9 -phenomenological -quantum Emission: Diffusion: -phenomenological -quantum -molecular dynamics
  28. 28. Cheap: High-throughput simulations Access to the unaccessible: Qualitative analysis Why simulate when you can make tests instead? Reactions: Emission: Diffusion: Michael Marthaler10
  29. 29. From problem to the quantum computer Definition Michael Marthaler11
  30. 30. QM approximation From problem to the quantum computer Michael Marthaler12 Definition
  31. 31. Full quantum mechanics From problem to the quantum computer Michael Marthaler13 QM approximationDefinition
  32. 32. Dr. Michael Marthaler CEO Iris Schwenk, M.Sc. Operations & IP & Softwaredevelopment Michael Marthaler14 Jan Reiner, M.Sc. Lead QuantumAdvantage Dr. Sebastian Zanker Technical Buisness Development Heisenberg Quantum Simulations
  33. 33. Definition des Problems Einfach Quantenmechanische Näherungen Voll Quantenmechanisch (soweit möglich auf normalen Computern) Open-Source Software existiert für die ganze Anwendungskette. Michael Marthaler15
  34. 34. BEIT Inc. Attacking hard problems with quantum computing algorithms BEIT Inc. | www.beit.tech
  35. 35. Problem statement ● Hamiltonian Circuit problem for 3CCP (three connected, cubic planar) graphs ● NP complete (beautiful reduction to 3-SAT by Tarajan) ● Why not 3SAT directly? ● Attacking proven optimality of Grover’s search giving only quadratic speed up BEIT Inc. | www.beit.tech
  36. 36. Naive approach BEIT Inc. | www.beit.tech ● Iterative approach ○ Prune from a complete graph on n vertices in two loops ■ inner: over edges adjacent to one vertex (conditions apply, to avoid double counting) ■ outer: over vertices ○ Use the resulting tree structure of an auxiliary graph of the Hamiltonian paths (each node will have 0,1 or n-1 children) ○ Interleave ■ moving towards the leaves via easy to construct unitary transformation ■ measurement of a qubit storing 1 if a path is a cycle of the current graph, 0 otherwise ■ backtrack (using abovementioned tree structure) in case measurement yields 0
  37. 37. ...its failure BEIT Inc. | www.beit.tech ● interleaving measurement with unitary evolution was bypassing BBBV assumptions of the proof of optimality of Grover‘s search ● it does solve a wide class of graphs but there is a class of them where it fails - namely when in any of graphs the algorithm goes through, the deletion of a single edge reduces the number of the HCs exponentially but not to 0 ● do such graphs exist?
  38. 38. ...its failure BEIT Inc. | www.beit.tech regretfully, yes.
  39. 39. ...and consequences: another no-go theorem BEIT Inc. | www.beit.tech ● yet another QC no-go theorem
  40. 40. Current results BEIT Inc. | www.beit.tech ● Another classical proof: finding a second HC given one ○ Start from the complete graph and prunning like in the naive case but no backtracking ○ Using improvement over (inefficient) Thomason algorithm to iterate over Hamiltonian paths linked in the auxiliary graph ● This time, the problem graphs are these ○ where the paths in the auxiliary graph are exponentiallay long (Krawczyk, Cameron or fresh from the press: https://www.cambridge.org/core/journals/bulletin-of-the-australian- mathematical-society/article/complexity-of-thomasons-algorithm-for-finding-a-second- hamiltonian-cycle/2D6025D2237FD5C298CA04F961B3D09C) ○ or the auxiliary graph of paths is not connected (an we face the consequences of the no-go theorem we have proven)
  41. 41. Current results BEIT Inc. | www.beit.tech
  42. 42. Why bother? BEIT Inc. | www.beit.tech ● reduce any real life hard problem classically to its NP-complete form and solve efficiently on QC ● QC to the rescue ( almost) ○ Got access to dWave 2000 qbit and Rigetti 19 qbit current systems ○ Build GPU based dWave 1000 emulator, solving arbitrary QUBO 1000 instances to optimality, faster than commercial solvers
  43. 43. Why bother? BEIT Inc. | www.beit.tech ● Customer problem: (NDA!): route K robots on N x N grid - looks like parallel TSP but is better expressed as MAX 2-SAT
  44. 44. Thank you
  45. 45. Investing in The Quantum Future October 2018
  46. 46. What is Deep Physics 10/20/18 2 “Nature isn’t classical, dammit, and if you want to make a simulation of nature, you’d better make it quantum mechanical” Richard Feynman, Nobel Prize 1965 “The main ingredient of the first quantum revolution, wave-particle duality, has led to inventions such as the transistor and the laser that are the root of the information society” Alain Aspect, Wolf Prize 2010, “father of the 2nd Quantum Revolution” Deep Tech refers to fundamental breakthroughs in science and engineering that profoundly impact industries and people’s lives. When such technologies are originating in physics research labs, we call them Deep Physics. Heisenberg’s uncertainty principle is at the heart of emerging & non intuitive Quantum Technologies that are a key part of Deep Physics
  47. 47. Quantum Computing • A QC is a device using quantum- mechanical phenomena, such as superposition and entanglement, to perform complex calculations. For certain problems it offers up to exponential speedups with respect today’s supercomputers. • A computer made of a 100 perfect qubits has more computing power than the some of all existing computers on Earth. • NISQ = Noisy Intermediate Scale Quantum Computers, although imperfect, and new purpose made softwares, can already act as accelerators for classical machines. 10/20/18 3 Qubits
  48. 48. 10/20/18 4 “We have many unsolved problems, like finding a catalyst for capturing carbon from the atmosphere, enzymes for more efficient food production and drug interactions for precision medicine … you could take a quantum computer and solve some of these unsolvable problems.” Satya Nadella, Microsoft CEO, keynote at Microsoft Ignite, 2017
  49. 49. Quantum Technologies impact everything 10/20/18 5 Source: BCG, Quantonation Quantum Technologies are no SciFi anymore This is just a matter of time before commercialization
  50. 50. Meanwhile, before Quantum ... 10/20/18 6
  51. 51. Quantonation, pure player in Deep Physics 7 We are uniquely positioned to deal with the complexities of such technologies - extensive in house technical expertise in fundamental physics and math - seasoned entrepreneurs and business developers, go-to market experts Charles Beigbeder, Chairman Selftrade, Poweo Founder VC and PE specialist École Centrale Paris Olivier Tonneau, Advisor Deputy GM at Gravitation VC expert ESSEC Christophe Jurczak, CEO Quantum expert CEO Energy and Tech Physics PhD, Polytechnique Zoé Amblard, Principal Quantum Tech expert PhD in Quantum Cryptography Jean-Gabriel Boinot, Associate VC, PE, Corporate EM Lyon
  52. 52. Strategy: physicists & entrepreneurs first 10/20/18 8 • Early stage: pre-seed to series A and follow-on, ticket €50k – € 1-5m • A global vision, > 50 companies in the pipeline • 15-20 investments targeted, several deals closing in 2018 to be announced • From the LP’s perspectives – best entry strategy into the Quantum Future – Unique expertise on the place – Value creation: profitable, balanced short / long term with Deep Physics – Plan future business: build a competitive advantage – Be at the heart of the community, get exposure – Don’t miss it out
  53. 53. The opportunity is huge 20/10/2018 9 11 23 3 4 2 2 2 2 QC Players worldwide
  54. 54. ∈ Q Ecosystem: CDL - Toronto 10/20/18 10
  55. 55. ∈ Q Ecosystem: QTEC - Bristol 10/20/18 11
  56. 56. ∈ Q Ecosystem: content & news 10/20/18 12
  57. 57. Meet with us 10/20/18 13 Paris Quantum Computing & Technologies Meetup Paris, 16/10 European Quantum Flagship Launch Innovation WG representative Vienna, 30/10 International Conference on Quantum Computing Industry and VC Roundtable co-sponsor Paris, 28/11 Hello Tomorrow – The future of Quantum Business VC Panel Genève, 27/11 Quantum For Business (Q2B 2018) Mountain View, 11-12/12
  58. 58. Contacts 10/20/18 14 Christophe Jurczak christophe@quantonation.com +33 6 69 75 92 53 / +1 650 713 87 87 Zoé Amblard zoe@quantonation.com +33 6 95 24 34 71 Jean-Gabriel “JG” Boinot-Tramoni jg@quantonation.com +33 6 45 65 18 31

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