Resource center

Fault-Tolerant Quantum Computing with Trapped Ions: The Walking Cat Architecture

IonQ researchers introduce the walking cat architecture, a complete fault-tolerant quantum computing blueprint built on trapped ions and modern error-correction codes.

Application-Centric Benchmark Verification Report by Kearney

An independent verification report prepared by Kearney, confirming that IonQ's benchmark procedures and Time-to-Solution methodology adhere to defined rules across four benchmarks: QFT, Hidden Shift, LR-QAOA, and VQE.

Measuring what matters: A scalable framework for application-level quantum benchmarking

IonQ's benchmarking framework evaluates quantum systems on solution quality and Time-to-Solution across real-world workloads. Read our full white paper for more details.

IDC Spotlight, sponsored by IonQ, Distributed Quantum Computing: Scaling Quantum from Standalone QPUs to Full-Stack System Architectures

High-level, vendor-neutral toned, IDC overview of IonQ and recent commercial developments across tech/strategy/product/business by Heather West, IDC's seasoned quantum specialist.

Moor Insights & Strategy Research Brief 2026: IonQ’s Progression from Foundational Research to Fault-Tolerant Machines

Moor Insights & Strategy vendor profile of IonQ and recent commercial developments across tech/strategy/product/business.

DefenseTalks 2025: Delivering Quantum Advantage & Unbreakable Security Across Land, Sea, Air, & Space

IonQ Chairman and CEO, Niccolo de Masi, participates in DefenseTalks 2025.

DefenseTalks 2025: Executive Spotlight Interview - Niccolo de Masi

IonQ Chairman and CEO, Niccolo de Masi, participates in an executive interview series by DefenseTalks.

IonQ Aria: Past and Future

Part two of our educational series

IonQ Forte: The First Software-Configurable Quantum Computer

See The World's First Software-Configurable Quantum Computer

Quantum Natural Language Processing With IonQ Hardware

How does NLP go quantum?

Connecting your SAML Identity Provider with IonQ Quantum Cloud

Integrate your SAML authentication provider with IonQ to centrally manage your user access and simplify controls and auditing.

State Preparation & Measurement with Barium Qubits

Why are barium qubits better?

Get started with Google Cloud and IonQ

Provision access to IonQ hardware in Google Cloud Marketplace in just five minutes

Getting started with Native Gates

A comprehensive guide for using IonQ’s hardware-native gate set

Using Native Gates with Cirq

Learn how to use our hardware-native gate set to run a circuit with Cirq

Using Native Gates with Qiskit

Learn how to use our hardware-native gate set to run a circuit with Qiskit

Best Practices for Using IonQ Hardware

Tips, tricks, and detailed information about getting the most from our trapped-ion systems

Get started with TensorFlow Quantum

Install TensorFlow Quantum and use it to run a project on IonQ hardware

Start Building With blqs

blqs is a Python framework designed to enable one to build Python frameworks that let one write Python-like code for quantum programs (or any other domain specific language you like).

Using Native Gates with PennyLane

Learn how to use our hardware-native gate set to run a circuit with PennyLane

Get started with ProjectQ on IonQ Hardware

Install ProjectQ and use it to run a quantum circuit on IonQ hardware

IonQ Quantum World Congress Keynote 2025

IonQ's Chairman and CEO Niccolo de Masi delivered a keynote at QWC 2025, focusing on IonQ's advancements in quantum networking, its strategic vision for the quantum ecosystem, and its global partnerships to accelerate commercialization.

IonQ Analyst Day 2025

IonQ’s executive leadership team offers a comprehensive overview of the company’s business strategy, recent milestones, and product roadmap.

Demystifying Logical Qubits and Fault Tolerance

The quality of underlying physical qubits is essential for building useful, high-fidelity logical systems.

IonQ's Quantum AI in Action: Smarter, More Energy Efficient, Less Resource Intensive

IonQ's quantum fine-tuning is a hybrid approach that adds a quantum layer to classical AI models. This method makes LLMs smarter, more accurate, and more efficient by capturing higher-dimensional patterns that classical systems miss.

Joint Economic Committee Hearing on Technology & Innovation: IonQ CEO Niccolo de Masi Addresses Quantum Opportunities & Innovation

Projections and Order Effects

A Quantum Speedup for String Matching

A faster, memoryless technique for precise string matching

Generating High Resolution Digits on Quantum Computers

IonQ's pioneering work to encode images in a quantum system

What is Hybrid Quantum Computing?

What does a hybrid quantum algorithm look like?

Improving Battery Chemistry with Quantum Computing

What will the batteries of the future look like?

Picturing the Future with Quantum-Enabled Road Sign Recognition

A picture of the future of travel

Get started with Qiskit on IonQ Hardware

Learn how to use our hardware-native gate set to run a circuit with Qiskit

Get started with Cirq on IonQ Hardware

Learn how to use our hardware-native gate set to run a circuit with Cirq

How To Read an Algorithmic Qubits (#AQ) Chart

A guide for the perplexed

A New Approach for Accurately Simulating Larger Molecules on IonQ Computers

Learn about techniques to compress large molecules into today's NISQ trapped ion systems