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PAGE 1 Corporate Presentation Corporate Presentation Safe Harbor PAGE 2 Statements in this presentation that are not descriptions of historical facts are forward-looking statements relating to future events, and as such all forward- looking


  1. PAGE 1 Corporate Presentation Corporate Presentation

  2. Safe Harbor PAGE 2 Statements in this presentation that are not descriptions of historical facts are forward-looking statements relating to future events, and as such all forward- looking statements are made pursuant to the Securities Litigation Reform Act of 1995. Statements may contain certain forward-looking statements pertaining to future anticipated or projected plans, performance and developments, as well as other statements relating to future operations and results. Any statements in this presentation that are not statements of historical fact may be considered to be forward-looking statements. Words such as “may,” “will,” “expect,” “believe,” “anticipate,” “estimate,” “intends,” “goal,” “objective,” “seek,” “attempt,” “should,” “projects,” or variations of these or similar words, identify forward- looking statements. These forward-looking statements by their nature are estimates of future results only and involve substantial risks and uncertainties, including but not limited to risks associated with the uncertainty of future financial results, additional financing requirements, development of new products, successful completion of the Company’s proposed restructuring, the impact of competitive products or pricing, technological changes, the effect of economic conditions and other uncertainties detailed from time to time in our reports filed with the Securities and Exchange Commission. This presentation does not constitute an offer or a solicitation to sell securities. There can be no assurance that our actual results will not differ materially from expectations and other factors more fully described in our public filings with the U.S. Securities and Exchange Commission, which can be reviewed at www.sec.gov. Corporate Presentation

  3. Overview PAGE 3 Highly Disruptive Technology Developing next-generation quantum-enabled computing applications in Finance, Security, and Data Analysis. World Class Team Development and decisions are driven by experts in supercomputing, quantum applications development and enterprise products. Large Addressable Market The market for our products is forecasted to be $10 Billion by 2024 1 , potentially growing to $50 Billion by 2030. 2 Near Term Catalysts Revenue generating opportunities with quantum-enabled applications & strategic partnerships with leading tech and financial services companies. 1 – Homeland Security Research report: «Quantum Computing Market & Technologies — 2018-2024», (January 2018) 2 - BCG: «The Coming Quantum Leap in Computing», (May 2018) Corporate Presentation

  4. Market Opportunity: $10 Billion+ PAGE 4 1 - Estimated Global Cyber Security Market in 2021. https://www.marketsandmarkets.com/PressReleases/cyber-security.asp 2 - Homeland Security Research report: «Quantum Computing Market & Technologies — 2018-2024», (January 2018) Corporate Presentation

  5. Leadership Team PAGE 5 Robert Liscouski Mark Wainger Chris Roberts Michael Booth Steve Reinhardt President & CEO CFO CTO VP, Product Development Director, App Development - Former President & CEO of - Former CFO of Systems - Former VP of Applications - Former Project Director -Co-founder of Global Implant Sciences (sold for Made Simple (acquired by and Software at Cray for Cray T3E and SGI Altix Advanced Technology $118M) Lockheed Martin) and CFO Research and Silicon UV at Cray Research / SGI Corporation, delivered first - First Assistant Secretary for of Integral Systems Graphics Inc. - Most recently led PC-based fixed income Infrastructure Protection at (acquired by Kratos - Most recently served on Customer Applications analytics system (acquired by the Department of Defense) the Customer applications group at D-Wave Systems BARRA) Homeland Security - BS (EE) and MBA from division at D-Wave - Respected for leading -Former Technical Director - MPA- Kennedy School of Massachusetts Institute of Systems, co-developed teams that bring bleeding- of Fixed Income at BARRA Government, Harvard Technology (MIT) qbSolv edge compute systems -35 years of experience in University - JD from University of into production use financial and scientific Virginia Law School applications development Corporate Presentation

  6. Advisory Board PAGE 6 Yury Geyman Ulf Mattsson Richard Schaeffer, Jr. Faisal Shah Khan John Ragalis - Managing Director at - Former Senior Executive at - Principal Investigator at - Former Director at Bank - Head of Innovation at Blackrock (Portfolio the National Security the Center on Cyber- of America, Development TokenEx Management, Office of Fixed Agency (NSA) physical Systems, Khalifa manager on Real-Time - Former CTO at Atlantic BT Income CIO) - Positions include: NSA University Risk Management Security Solutions MBA in Statistics - Deputy Chief of Staff, Acting - First user of quantum - Former Managing - Former CTO and Founder of Operations, BS in Finance Director of Research, annealing technology to Director Citadel Protegrity and Information Systems Director Information and study financial asset Investment Group - 20 years of work at IBM in Stern School of Business at Infrastructure Assurance at allocation in the United - Artificial Intelligence software development and New York University the Pentagon Arab Emirates Project Lead for IBM research Corporate Presentation

  7. Quantum Hardware Landscape PAGE 7 Cu Current +5 +5-7 7 years +1 +10 years Current Generation Cu Ne Next-gen gen “Bridge” ge” True Tr Tr Transition Ma Mature Qu Quantum GPU/ GP U/CPU Digital Annealers Di Qu Quantum m Annealers (G (Gate-Mo Model/To Topological/T /TBD) Quickly approaching limits A viable near-term Can quickly approach optimal “True” Quantum Computers • • • • of Moore’s law due to semiconductor ”bridge” to or very-near optimal answers capable of executing algorithms quantum effects at solving problems well suited for combinatorial such as Shor’s (prime increasingly smaller for quantum annealers and optimization problems factorization) and Grover’s transistor sizes Gate-model computers Validated to be effective for a (search) • Well-established driver of Capable of quickly solving large selection of problems Extremely sensitive to noise, • • • computing performance combinatorial optimization Technological advances decoherence is a significant • General Purpose, can be problems too difficult for required to get quantum problem • readily used for most CPU/GPUs annealers to be real-world Profound breakthroughs must • applications and problems Near-term performance problem ready be made to develop robust real- • Incapable of solving certain benefit does not require Progress is accelerating as world capable quantum • • types of problems that large cooling equipment and awareness around quantum computers exhibit large variable active maintenance computing builds Technology mature enough to • expansion/dimensionality sustain an ecosystem of applications Corporate Presentation

  8. Quantum Hardware Continued PAGE 8 The technology underlying quantum and quantum- • inspired hardware architectures determines the time to maturity. As “quantum-ness” increases, so does R&D cost and time- • to-market. A direct consequence is that differentiated performance • from quantum computing will emerge in a step like fashion as technological bottlenecks are broken. Notably, differentiated performance from digital annealers • may be on the cusp. Corporate Presentation

  9. Near Term Quantum Opportunity: Optimization PAGE 9 The difficulty of combinatorial optimization problems grows factorially with the number of • variables. Consider the traveling salesman problem: a classical computer capable of evaluating a trillion possibilities per second would take just 1.3 seconds to solve the problem for 15 cities, it would take 1000x the age of the universe to solve it for 30 cities. Near-term quantum-inspired hardware such as digital annealers and quantum annealers have • been recognized for their ability to rapidly solve combinatorial optimization problems. Optimization problems are omnipresent across research and industry and represents a • tremendous near-term opportunity. We believe the strength of digital annealers and quantum annealers can be demonstrated • today on real-world problems such as asset allocation. Corporate Presentation

  10. Business Model PAGE 10 We believe application development that can leverage • quantum hardware as soon as it can demonstrate differentiated performance is a less-capital intensive and faster way of commercializing quantum computing. Through our robust “quantum bridge" middleware stack, • we intend in delivering true quantum-enabled applications capable of seamlessly transitioning to the latest and greatest real-world ready quantum hardware. We believe there is significant value in this “hardware- • agnostic” approach from both a development standpoint and to our end-users, eliminating the risk of wasted infrastructure spend on obsolete hardware. Corporate Presentation

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