Ionq, Inc. · NYSE:IONQ

Ionq — Technology Roadmap Webinar (June 2025)

34 slides from Ionq's conference presentation, Jun 9, 2025

Slide 1: IonQ's Path to Large-Scale, Fault-Tolerant Quantum Computing
Technology Roadmap Webinar IonQ’s Path to Large-Scale, Fault-Tolerant Quantum Computing 1 Copyright © 2025 IonQ, Inc. All Rights Reserved.
Slide 2: Forward Looking Statements
Forward Looking Statements This presentation contains statements that constitute forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995 and other securities laws. Whenever we use words such as "believe," "expect," “enable,” “accelerate,” "anticipate," "
Slide 3: IonQ's Path to Large-Scale, Fault-Tolerant Quantum Computing
Technology Roadmap Webinar IonQ’s Path to Large-Scale, Fault-Tolerant Quantum Computing Niccolo de Masi CEO 3 Copyright © 2025 IonQ, Inc. All Rights Reserved.
Slide 4: Accelerating Value: Expanding the Quantum Application Opportunity
Leadership From Near Term to Fault Tolerance Accelerating Value: Expanding the Commercial Value Quantum Application Opportunity 4 Copyright © 2025 IonQ, Inc. All Rights Reserved. Copyright © 2025 IonQ, Inc. All Rights Reserved.
Slide 5: Leadership Across Multiple Fronts
Positioned to Succeed In the Quantum Computing Race Leadership Across Multiple Fronts Financials Technology Commercialization First pure-play quantum 30+ years of groundbreaking 4th generation commercial company to go public trapped ion research quantum computers $96M in bookings in 2024 The only mo
Slide 6: Leveraging Strong Position to Accelerate Technology Roadmap
Positioned to Succeed In the Quantum Computing Race Leveraging Strong Position to Accelerate Technology Roadmap Networking Acquisitions Computing Acquisitions *Planned Entangled Networks 6 Copyright © 2025 IonQ, Inc. All Rights Reserved.
Slide 8: IonQ's Winning Architecture
Technology Strategy IonQ’s Winning Architecture Ion Photonically High Connectivity Fault Full Stack Qubits Interconnected + Parallelization Tolerance Product Qubit Parcels Development Naturally Identical Photon-Ion Eﬃcient Low Overhead QEC HW/SW Entanglement Well Time-to-solution Co-development High
Slide 9: Deepening IonQ's Scientific Bench
Positioned to Succeed in the Quantum Computing Race Deepening IonQ’s Scientiﬁc Bench Dr. Chris Ballance Dr. Mihir Bhaskar CEO, Oxford Ionics CEO, Lightsynq Technologies Intention to be acquired by Acquired by IonQ IonQ June 2025 (2024 - 2025) (2019 - 2025) Research Lead, AWS Center Fellow, Universit
Slide 10: Unlocking Scale Through Larger Parcel Size
Accelerating Development Areas Unlocking Scale Through Larger Parcel Size From To up to 1D Linear Trap Dense 2D Qubit Fabric The integration of Oxford Ionics’ trap-on- a-chip into IonQ’s architecture will enable 50X more qubits in a single the qubit count within a single trap to trap compared to 1D
Slide 11: Unlocking Scale by Improving Remote Entanglement
Accelerating Development Areas Unlocking Scale by Improving Remote Entanglement From To up to No Memory Solution Memory Enabled The integration of Lightsynq quantum memory technology into existing 50X remote entanglement photonic interconnect systems will eﬃcacy compared to improve entanglement rate
Slide 14: Updated Technology Roadmap
Updated Technology Roadmap 2025 2026 2027 2028 2029 2030 #AQ 64 256 384 1,024 Qubits 64 256 10,000 20,000 200,000 2,000,000 14 Copyright © 2025 IonQ, Inc. All Rights Reserved. 14
Slide 15: Updated Technology Roadmap
Updated Technology Roadmap 2025 2026 2027 2028 2029 2030 #AQ 64 256 384 1,024 Qubits 64 256 10,000 20,000 200,000 2,000,000 Logical 12 800 1,600 8,000 80,000 Qubits Logical <1.00E-7 <1.00E-12 Error Rate 15 Copyright © 2025 IonQ, Inc. All Rights Reserved. 15
Slide 18: A Repeatable Cell Unit
Oxford Ionics Technology A Repeatable Cell Unit Architecture based on building larger quantum computers by replicating discrete unit cells, without reengineering the fundamentals or compromising world-record qubit performance. Utilize unique The only technology that can trap Electronic Qubit and con
Slide 19: Electronic Qubit Control (EQC)
Oxford Ionics Technology Electronic Qubit Control (EQC) Performance without limits EQC does not have intrinsic performance limitations that lasers 1 can cause with photon scattering 2 Electronics works! 3 EQC takes advantage of the mature electronics industry and the naturally low noise of electroni
Slide 20: Higher Qubit Counts by Replicating, not Reinventing
Oxford Ionics Technology Higher Qubit Counts by Replicating, not Reinventing 8-qubit 256-qubit 10,000-qubit unit cell quantum computer quantum computer A quantum computer is highly scalable when larger devices can be built by copy-pasting existing unit cells, without compromising performance 20 Copy
Slide 22: Quantum Memory Enhanced Photonic Interconnects
Lightsynq Technology Quantum Memory Enhanced 1 Photonic Interconnects Leading quantum memory Proven to enhance networking rates over quantum channels Integrated photonics approach 2 Foundry-compatible nanofabrication for performance at scale 3 Proprietary ﬁber-to-chip coupling Insertion loss 10x+ be
Slide 23: Improving Remote Entanglement Rates
Lightsynq Technology Improving Remote Entanglement Rates Previous best-in-class: No quantum memory Successful connection requires simultaneous QPU A photon arrival at detector Detection ✔ Hub QPU B If photon is lost, connection fails and network must re-attempt link, decreasing rates 23 Copyright ©
Slide 24: Improving Remote Entanglement Rates
Lightsynq Technology Improving Remote Entanglement Rates Previous best-in-class: No quantum memory Successful connection requires simultaneous QPU A photon arrival at detector Detection ✔ Hub QPU B If photon is lost, connection fails and network must re-attempt link, decreasing rates Lightsynq’s app
Slide 25: Demonstrated Performance in Real-World Conditions
Lightsynq Technology Demonstrated Performance in Real-World Conditions Showed >50x speedup in a quantum network using Lightsynq’s technology Proven performance using real-world telecommunications ﬁber outside the lab Force-multiplier for connecting high-performance ion trap compute nodes 25 Copyrigh
Slide 27: Accelerating Finite Element Simulation with Quantum-Enhanced Graph Partitioning
Quantum Optimization Case Study (NISQ) Accelerating Finite Element Simulation with Quantum-Enhanced Graph Up to 12% Improvement over classical heuristics | Partitioning 2.6M vertices & 40M edges Business and Technical Challenges: LS-DYNA crash simulations are slowed by costly graph partitioning on m
Slide 28: Accelerating Drug Development and Synthesis with Enhanced Simulations
Quantum Simulation Case Study (NISQ) Accelerating Drug Development and Synthesis 20X Faster time-to-solution with Enhanced Simulations than best previously published implementation by AWS Business and Technical Challenges: Traditional computational methods struggle to eﬃciently and accurately simula
Slide 29: Quantum Hybrid LLM Fine-Tuning Boosts Accuracy and Efficiency
Quantum AI Case Study (NISQ) Scaling Efficiently Beyond Classical Quantum Hybrid LLM Fine-Tuning Boosts Accuracy and Eﬃciency Business and Technical Challenges: Classical Large Language Models (LLMs) struggle with sparse, complex, or proprietary data IonQ’s Quantum Solution: Hybrid ﬁne-tuning adds q
Slide 30: Enabling New Classes of Applications
Copyright© 2025 IonQ, Inc. All Rights Reserved. Enabling New Classes of Applications Updated Technology Roadmap 2025 2026 2027 2028 Quantum Computing Hardware Quantum Computing Hardware Quantum Computing Hardware Quantum Computing Hardware 64 Physical Qubits 1 256 Physical Qubits 10,000 Physical Qub
Slide 31: Enabling New Classes of Applications
Copyright© 2025 IonQ, Inc. All Rights Reserved. Enabling New Classes of Applications Updated Technology Roadmap 2028 2029 2030 Quantum Computing Hardware Quantum Computing Hardware Quantum Computing Hardware 20,000 Physical Qubits 200,000 Physical Qubits 2,000,000 Physical Qubits 1600 Logical Qubits
Slide 32: Catalyst Redesign at Scale: Faster, Cheaper, Greener
Fault-tolerant App Deep Dive Catalyst Redesign at Scale: Faster, Cheaper, Greener Level 1 Level 2 Level 3 2028-2029 2028-2029 2029 ~2,000 Logical Qubits ~3,000 Logical Qubits ~4,000 Logical Qubits Develop Mo-based Redesign catalysts using Optimize catalytic cycles catalysts for more eﬃcient cheaper
Slide 33: IonQ's Path to Large-Scale, Fault-Tolerant Quantum Computing
Technology Roadmap Webinar IonQ’s Path to Large-Scale, Fault-Tolerant Quantum Computing Niccolo de Masi CEO 33 Copyright © 2025 IonQ, Inc. All Rights Reserved.
Slide 34: Accelerating Value: Expanding the Quantum Application Opportunity
Leadership From Near Term to Fault Tolerance Accelerating Value: Expanding the Quantum Application Opportunity 34 Copyright © 2025 IonQ, Inc. All Rights Reserved. Copyright © 2025 IonQ, Inc. All Rights Reserved.

IonQ — Technology Roadmap Webinar (June 2025) on 6ix

Ionq — Technology Roadmap Webinar (June 2025)

Slide 1: IonQ's Path to Large-Scale, Fault-Tolerant Quantum Computing

Slide 2: Forward Looking Statements

Slide 3: IonQ's Path to Large-Scale, Fault-Tolerant Quantum Computing

Slide 4: Accelerating Value: Expanding the Quantum Application Opportunity

Slide 5: Leadership Across Multiple Fronts

Slide 6: Leveraging Strong Position to Accelerate Technology Roadmap

Slide 7: Technology Strategy and Roadmap

Slide 8: IonQ's Winning Architecture

Slide 9: Deepening IonQ's Scientific Bench

Slide 10: Unlocking Scale Through Larger Parcel Size

Slide 11: Unlocking Scale by Improving Remote Entanglement

Slide 12: Current Technology Roadmap

Slide 13: Updated Technology Roadmap

Slide 14: Updated Technology Roadmap

Slide 15: Updated Technology Roadmap

Slide 16: Copyright © 2025 IonQ, Inc. All Rights Reserved.

Slide 17: Accelerating Scale: Oxford Ionics Technology

Slide 18: A Repeatable Cell Unit

Slide 19: Electronic Qubit Control (EQC)

Slide 20: Higher Qubit Counts by Replicating, not Reinventing

Slide 21: Accelerating Scale: Lightsynq Technology

Slide 22: Quantum Memory Enhanced Photonic Interconnects

Slide 23: Improving Remote Entanglement Rates

Slide 24: Improving Remote Entanglement Rates

Slide 25: Demonstrated Performance in Real-World Conditions

Slide 26: Applying Scale: Commercial Applications

Slide 27: Accelerating Finite Element Simulation with Quantum-Enhanced Graph Partitioning

Slide 28: Accelerating Drug Development and Synthesis with Enhanced Simulations

Slide 29: Quantum Hybrid LLM Fine-Tuning Boosts Accuracy and Efficiency

Slide 30: Enabling New Classes of Applications

Slide 31: Enabling New Classes of Applications

Slide 32: Catalyst Redesign at Scale: Faster, Cheaper, Greener

Slide 33: IonQ's Path to Large-Scale, Fault-Tolerant Quantum Computing

Slide 34: Accelerating Value: Expanding the Quantum Application Opportunity