Resource Center
Explore our quantum computing resources, curated to help you take your skills to the next level.
Explore our quantum computing resources, curated to help you take your skills to the next level.
Part two of our educational series
See The World's First Software-Configurable Quantum Computer
How does NLP go quantum?
Integrate your SAML authentication provider with IonQ to centrally manage your user access and simplify controls and auditing.
Why are barium qubits better?
Provision access to IonQ hardware in Google Cloud Marketplace in just five minutes
A comprehensive guide for using IonQ’s hardware-native gate set
Learn how to use our hardware-native gate set to run a circuit with Cirq
Learn how to use our hardware-native gate set to run a circuit with Qiskit
Tips, tricks, and detailed information about getting the most from our trapped-ion systems
Install TensorFlow Quantum and use it to run a project on IonQ hardware
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).
Learn how to use our hardware-native gate set to run a circuit with PennyLane
Install ProjectQ and use it to run a quantum circuit on IonQ hardware
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’s executive leadership team offers a comprehensive overview of the company’s business strategy, recent milestones, and product roadmap.
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.
A faster, memoryless technique for precise string matching
IonQ's pioneering work to encode images in a quantum system
What does a hybrid quantum algorithm look like?
What will the batteries of the future look like?
A picture of the future of travel
Learn how to use our hardware-native gate set to run a circuit with Qiskit
Learn how to use our hardware-native gate set to run a circuit with Cirq
A guide for the perplexed
Learn about techniques to compress large molecules into today's NISQ trapped ion systems
Everything you need to know to get started
A quick tour of your new account to help you find your way around.
A deep-dive into two important concepts
Learn how quantum computers can be a powerful tool for risk analysis
Part one of our educational series
Designing a KPI that matters for real workloads
Learn more about our Reconfigurable Multicore Quantum Architecture (RMQA)
A guide for those just getting started exploring quantum computing technolgy and its use cases
What is the value?
Quantum computing can revolutionize the Life Sciences industry by accelerating high-value drug discovery processes, potentially capturing a market worth $40-80B, with 90% attainable by early adopters.
Use a quantum simulator that mimics the noise characteristics of real IonQ hardware
Create an account and run your first job with Azure Quantum, Q#, and IonQ hardware
Expanding the possibilities of QML
A deep-dive into the world of quantum finance
Read the IDC Vendor Profile to discover what IDC has to say about IonQ.
You can access IonQ hardware using every major quantum framework and language
A comprehensive guide for using IonQ’s Debiasing and Sharpening
How do trapped Ions perform computation?
Overview of unique features of IonQ hardware and live demonstration of what we can accomplish programming IonQ hardware using Microsoft Azure
Learn the basic ideas premises of quantum computing
Learn to tackle problems using IonQ systems: image recognition and generation, multivariate data generation, speedup of Monte Carlo methods, optimization, condensed matter physics, quantum chemistry
Automation in trapped ion systems to achieve long term stability, where quantum computer can perform at its best algorithmic fidelity while maximizing the computational uptime
Recording of IonQ's keynote from Quantum World Congress, September 27th, 2023. In the keynote, Peter Chapman and Jungsang Kim announce two new, commercial quantum systems and discuss customer use cases.
Challenges, merits and weaknesses of an application-oriented approach to benchmarking the performance of quantum computers
Learn about the need for diversity in quantum technology space and various career path opportunities through our panelists personal stories
A deep-dive into quantum trapped ion technology
What are the possibilities for our quantum future?
A panel discussion of the current possibilities of a quantum-cloud hybrid solution
A panel discussion of current enterprise use cases
IonQ’s approach to performance starts with one core advantage: we use nature's perfect qubits. With high fidelity, flexible connectivity, and modular design, our systems are engineered to deliver value and scale with customers over time.
Loading cargo onto airplanes is a complex problem IonQ partnered with Airbus to solve.
Learn the basics about IonQ's trapped ion technology
Video 1 of the IonQ 'Learn Quantum' explainer series
IonQ’s enterprise-grade quantum computers power innovation worldwide. With sites in DC, Seattle, Toronto, and Basel, we’re building and delivering commercial systems that provide real customer value—today.
IonQ technical leaders and experts give an overview of the technology roadmap and strategy that will power IonQ Forte Enterprise and Tempo.
Learn the basics of how quantum computing works
IonQ took center stage at Quantum World Congress 2024 with a presentation by President and CEO Peter Chapman and Senior Vice President of Engineering and Technology Dean Kassmann.
Running #Q program on a cloud simulator and on IonQ quantum hardware via Azure Quantum
IonQ’s approach to scale relies on making engineering and architectural decisions that support performance at large qubit counts. IonQ’s strategy for scaling takes advantage of multicore operation and photonically interconnected systems.
Watch this exclusive webinar (June 2024) where IonQ dives into the latest updates around their key technology pillars: Performance, Scale, and Enterprise-Grade quantum computing.
In this technical deep dive, IonQ leadership and technical experts discussed the latest innovations across our quantum technology stack, as well as real-world customer applications driving our recent commercial momentum and enabling our future roadmap.
IonQ announced its intention to acquire @OxfordIonics, accelerating our ability to deliver the world’s most powerful fault-tolerant quantum computers with 2 million physical qubits and 80,000 logical qubits by 2030.
A two part lecture series, taught by the scientists and engineers developing IonQ's quantum computers, designed to teach the fundamentals of how IonQ uses ions to perform quantum computation.
A four part lecture series, taught by IonQ scientists, designed as an introduction to the fundamentals of quantum programming. Explore topics including quantum algorithms, quantum circuit design and applying these concepts to chemistry problems.
A four-part series on the basics of quantum computing and IonQ's ion trap technology