Horizon Quantum Holdings Ltd. · NASDAQ:HQ
Horizon Quantum — Investor Presentation (August 2026)
51 slides from Horizon Quantum's investor presentation, August 2026
Slide 1: Building the software infrastructure to power tomorrow's computers
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Slide 2: Cautionary Notes
CAUTIONARY NOTES Notes and Important Disclosures This presentation (together with oral statements made in connection herewith, the “Presentation’) is for information purposes only to assist interested parties with evaluation Horizon Quantum Holdings Ltd. ‘Horizon’ or the * No Offer or Solicitation T
Slide 3: Our mission
66 Our mission is to unlock broad quantum advantage by building software infrastructure that empowers developers to use quantum computing to solve the world’s toughest computational problems.
Slide 4: Q2 FY Highlights
Q2 FY 26 Highlights Object-oriented quantum programming Beryllium became accessible to early access users Cash Infusion Cash infusion of $28.7M from the voluntary exercise of public warrants through August 3, 2026, strengthened our runway. Strategic Hardware-Software Integration Improvements and exp
Slide 5: First-mover advantage in quantum software infrastructure
First-mover advantage in quantum software infrastructure @ We believe that software will drive commercial adoption of quantum hardware ( } Hardware-agnostic approach anticipated to give users the flexibility to leverage the best quantum systems for their solutions regardless of underlying modality o
Slide 6: No computer is effective without software
No computer is effective without software... ... and classical code doesn't run on quantum machines.
Slide 7: The platform layer unlocks the value of every new computing technology
The platform layer unlocks the value of every new computing technology Horizon Quantum is building the software infrastructure to set the standard for developing, deploying and executing quantum software, regardless of which hardware prevails’ Windows iOS / Android AWS Nvidia Cuda VMware Triple Alph
Slide 8: At the heart of quantum computing
At the heart of quantum computing WE SEEK TO BRIDGE THE GAP BETWEEN TODAY’S HARDWARE AND TOMORROW'S APPLICATIONS By connecting developers, end users, and hardware providers, we believe our quantum software infrastructure is positioned to unlock the potential of quantum computing to solve-real world
Slide 9: Today, developers face major barriers to harness quantum computing
Today, developers face major barriers to harness quantum computing just like in the early days of classical computing Hardware is only half the picture - software is needed to drive quantum advantage. Creating quantum algorithms Hardware is diverse and Programming languages lack is difficult, non-in
Slide 10: What if programming a quantum computer was as simple as writing a Python script?
What if programming a quantum computer was as simple as writing a Python script?
Slide 11: Roadmap with existing IP
Roadmap with existing IP We are developing ; Restructuring & Algorithm . Classical Program Classification Construction tec h n Oo logy to b r | d ge fro mM El e classical to quantum =P We are executing an ambitious plan to enable software developers to access the power of quantum computing by develo
Slide 12: Enabling developers to code, compile and deploy with Triple Alpha
We are already enabling developers to code, compile and deploy sophisticated applications with Triple Alpha Triple Alpha is currently in early access with select hardware and software partners eh) triple alpha DEPLOYMENT SETTINGS APLName
Slide 13: Triple Alpha makes serious quantum software development possible
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Slide 14: Our runtime environment is emerging as a true quantum operating system kernel
Our runtime environment is emerging as a true quantum operating system kernel Triple Alpha overcomes limitations of hardware backends in software, seamlessly stitching together multiple hardware calls to enable enhanced functionality, allowing developers to do much more with existing hardware system
Slide 15: Tools designed to set a new standard for quantum software infrastructure
Our tools are designed to set a new standard for quantum software infrastructure Development Infrastructure Deployment Infrastructure Execution Infrastructure Triple Alpha allows developers to create Our deployment infrastructure allows Our execution stack enables programs programs using high-level
Slide 16: We take hardware integration seriously by operating our own quantum computers
We take hardware integration seriously by operating our own quantum computers Horizon Quantum has completed the assembly and integration of a quantum computer to become the first quantum software company to own and run a quantum computer. Our on-site testbed has capacity for additional quantum compu
Slide 17: Our strategy positions us to grow as quantum computing scales
Our strategy positions us to grow as quantum computing scales Software Partners Hardware Partners QPU Control Systems Quantum software Developers Academia and Alternative Partners Research Groups Cloud Providers Inbound access requests received from: 40+ Major Corporations 95+ /9 Universities / Time
Slide 18: Our approach with partners
Our approach with partners is designed to enable our tools to become the default software infrastructure for hardware vendors Our approach with partners provides a pathway for manufacturers to increasingly integrate their hardware with Triple Alpha. This enables us to offer hardware from a manufactu
Slide 19: Applications run through our infrastructure
Applications run through our infrastructure. This is expected to enable usage-based pricing that aligns with value creation for developers.
Slide 20: Slide 20
Slide 21: Testbed systems
Testbed systems At a very coarse grain level, quantum computers can be broadly split into two categories: solid-state qubits and AMO qubits. Our testbed systems Solid-state qubits AMO qubits cover both categories. Underlying physics Flexibility and variability Operating requirements Testbed system E
Slide 22: A world-class, deep-science team
We've assembled a world-class, deep-science team to close the gap between quantum hardware and practical application Dr Joe Fitzsimons Chief Executive Officer Invented blind quantum computing ®* 6ioRp COO Sim Over 20 years experience in quantum computing, with key contributions to system architectur
Slide 23: Leadership team
Greg Gould Chief Financial Officer Goldman sachs, Dr Raymond Lloyd SVP of Engineering Sumanth Puttur VP of People Google Yanina Blaclard VP of Marketing and Communications SOCIETE GENERALE Catherine Fitzsimons Chief Legal & Compliance Officer Eoin Scanlon VP of Operations Katherine Bailon VP of Inve
Slide 24: Board of Directors
Dr Joe Fitzsimons Founder & Chief Executive Officer of Horizon Quantum, Chairman of the Board Quantum computing pioneer with over 20 years’ experience, having made key novel contributions to system architectures, computational complexity theory and applications of quantum computing. oxioxn COM Swit
Slide 25: Quantum computing has reached an inflection point
Quantum computing has reached an inflection point PRACTICAL QUANTUM ADVANTAGE IS EXPECTED IN THE COMING YEARS 3° Error correction is now a reality Quantum error correction has progressed rapidly in the last 18 months, with full quantum error correction convincingly demonstrated for the first time in
Slide 26: In past technology cycles, software has captured more value than hardware
In past technology cycles, software has captured more value than hardware. Quantum computing may follow this trend.
Slide 27: Commercial applications are likely to emerge soon
Commercial applications are 2024 EXPERTS’ ESTIMATES OF LIKELIHOOD OF COMMERCIAL li ke ly to e nine rge soon 0 APPLICATIONS FOR EARLY QUANTUM COMPUTERS the application infrastructure irae ere inet ker enc ee este needs to be ready likelihood <1% <5% < 30% |= 50% 15 years 2 In a 2024 report on the sta
Slide 28: Condensed consolidated balance sheet (Unaudited)
Condensed consolidated balance sheet (Unaudited) (In USS, unless otherwise stated) ASSETS Current assets Cash and cash equivalents Prepaid and other current assets Total current assets Property and equipment, net Intangible assets, net Right-of-use assets Other non-current assets TOTAL ASSETS LIABIL
Slide 29: Condensed consolidated statement of operations and comprehensive loss
Condensed consolidated statement of operations and comprehensive loss (Unaudited) Three Months Ended Six Months Ended Three Months Ended Six Months Ended June 3 June 3 (In USS, except share amount and paaheeae) 2026 2025 2026 2025 Other income and (expense): Interest expense (2,694) (2,320) (5,686)
Slide 30: Reconciliation of Non-GAAP Financial Measures
Reconciliation of Non-GAAP Financial Measures Below is a reconciliation of net loss (GAAP) to adjusted EBITDA: Three Months Ended Six Months Ended June 3 June 3 (In US$, unless otherwise stated) 2026 2025 2026 2025 Net loss (GAAP) $ (115,227,348) $ (2,902,313) $ (118,786,726) $ (7725198) Adjustments
Slide 31: Condensed consolidated statement of cashflow (Unaudited)
Six Months Ended June 3¢ Condensed consolidated statement {In USS, unless otherwise stated) 2026 2025 . Cash flows from investing acti ies of cashflow (Unaudited) = Purchase of property, equipment including construction in progress (5,521,276) (297,706) Purchase of intangible assets and trademarks -
Slide 32: Capital-efficient software & SaaS model in quantum computing
Capital-efficient software & SaaS model in quantum computing Although we depend on quantum advantage being cs achieved, we enjoy a number of strengths: e Strong technical team with proven track record in quantum computing e Compelling technology to power quantum computing applications e Software bus
Slide 33: For more information
horizon quantum For more information Katherine Bailon VP of Investor Relations investors.horizonquantum.com katherine@horizonquantum.com 212-729-1990
Slide 34: Appendix A: Glossary
Appendix A: Glossary This Glossary explains several terms used in the Horizon Quantum Investor Presentation. The Glossary, as prepared by Horizon Quantum management, is not a comprehensive explanatory document. Shareholders and investors should not unduly rely on it to make investment decisions.
Slide 35: Glossary
GLOSSARY Algorithm — An algorithm is a finite set of step-by-step instructions for solving a type of problem or carrying out a computation. Algorithms are a cornerstone of computer science and form the building blocks of computer programs. They are used for calculation, data processing, and automati
Slide 36: Glossary (continued)
GLOSSARY (CONTINUED) Concurrent classical functions — In quantum computing, concurrent classical functions are classical computations that run at the same time as a quantum circuit, rather than only before or after it. Traditionally, quantum programs are structured as static circuits: the circuit is
Slide 37: Glossary (continued)
GLOSSARY (CONTINUED) Dynamic memory allocation — In classical computing, dynamic memory allocation is the process of assigning memory to a program while it is running, rather than fixing the memory size in advance. Instead of the programmer deciding ahead of time how much memory is needed, the progr
Slide 38: Glossary (continued)
GLOSSARY (CONTINUED) Error correction — Quantum error correction is a method used to protect quantum information from errors caused by environmental disturbances, hardware imperfections, or unwanted interactions that can cause qubits to change state. Unlike classical error correction, which can rely
Slide 39: Glossary (continued)
GLOSSARY (CONTINUED) Gate-level code — In quantum computing, gate-level code refers to programs written directly in terms of the quantum gates that act on qubits. At this level, the programmer specifies the exact sequence of gate operations—such as Hadamard or CNOT—that make up a quantum circuit. Ga
Slide 40: Glossary (continued)
GLOSSARY (CONTINUED) Libraries — In the context of programming quantum computers, a library is a collection of pre-written code that can be called from within a conventional programming language, such as Python. These libraries provide ready-to-use primitives, utilities, and sometimes full algorithm
Slide 41: Glossary (continued)
GLOSSARY (CONTINUED) Model-based synthesis — In quantum computing, model-based synthesis is a way to generate circuits from a high-level description of an algorithm and explicit design constraints. Instead of assembling fixed gate templates, a developer specifies the algorithm's intent (such as arit
Slide 42: Glossary (continued)
GLOSSARY (CONTINUED) Physical qubit — A physical qubit is the hardware-based implementation of a qubit in a quantum computer. Physical qubits can be realized in many different forms, depending on the hardware modality, such as trapped ions, neutral atoms, or photons. They are the raw qubits built di
Slide 43: Glossary (continued)
GLOSSARY (CONTINUED) Quantum advantage — In quantum computing, quantum advantage refers broadly to the point at which a quantum computer can solve a problem more efficiently than the best known classical methods running on the best classical hardware. However, the term has no universal definition, a
Slide 44: Glossary (continued)
GLOSSARY (CONTINUED) Qubit (quantum bit) — A qubit is the basic unit of information in quantum computing, analogous to the bit in classical computing. While a classical bit can only take the value 0 or 1, a qubit can exist in a superposition, meaning it has some chance of being measured as either O
Slide 45: Glossary (continued)
GLOSSARY (CONTINUED) Runtime environment — Aruntime environment is the support system a program needs while it is running. It provides the behind-the-scenes services that allow code to execute smoothly, such as managing memory, handling input and output, and giving the program access to hardware res
Slide 46: Glossary (continued)
GLOSSARY (CONTINUED) Superconducting qubits — A superconducting qubit is implemented on specialized chips, typically made of silicon or sapphire, using microfabrication techniques similar to those used in classical processors. Superconducting qubits are tiny electrical circuits made from superconduc
Slide 47: Glossary (continued)
GLOSSARY (CONTINUED) Turing-complete language — A Turing-complete language is a programming language that can be used to express any computation that any computer can perform, given enough time and memory. To be Turing complete, a language must support (or allow the construction of) basic features s
Slide 48: Appendix B: Why Quantum Computing?
Appendix B: Why Quantum Computing?
Slide 49: Classical computing is approaching the limits of Moore's Law
Frequency wall Transistor (1000s) Single Thread °ontent®™ Performance on (SpecINT 1000s) Releeaig toate Frewueny : @ (MHz) 1990 2000 2010 Q Source: Modified from “50 Years of Microprocessor Trend Data’, K. Rupp, https://github.com/karlrupp/microprocessor-trend-data 2020 Classical computing is approa
Slide 50: Quantum changes the game, it's time for Neven's Law
Quantum changes the game, it’s time for Neven’s Law Where Moore's Law predicts exponential growth in the capacity of conventional computers, Neven's Law suggests double-exponential growth for quantum computers due to a combination of exponential qubit growth over time and the increase in the difficu
Slide 51: History may be rhyming
1943 1947 @ McCulloch-Pitts artificial neuron 1942 | 1946 @ Monte Carlo simulation © Simplex algorithm @ Fast Fourier Transform 1940 © Cryptanalysis tx History may be rhyming Progress in quantum applications appears to be mirroring the history of early classical computers 1953 1959 © Simulated annea
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