📍 College Park, MD·Est. 2015
IonQ logo
Public Company

IonQ

Leading trapped-ion quantum computing company. Delivered Tempo architecture (100 physical qubits) ahead of schedule. Demonstrated practical quantum advantage: IonQ + Ansys medical device simulation outperformed classical HPC by 12% on a 36-qubit system. Roadmap: 256 qubits (2026), 1,600 logical qubits (2028), 80,000 (2030). Public company (NYSE: IONQ).

Listen to this lesson

Free preview · first 0:30
0:00 / 0:30

Audio & video lessons are paid features

Plus unlocks audio streaming. Pro adds downloadable audio, video, certificates, and more.

Plus adds:
  • Audio streaming
  • Downloadable PDFs
  • All AI Playbooks
  • Personalized content
Pro also adds:
  • Certificates of completion
  • Audio MP3 downloads
  • Video lessonssoon
  • & More…soon

Watch this lesson

Video coming soon

Learn About IonQ's AI Products

Create a free account to access in-depth lessons on each tool and model.

Start Learning Free

📋About IonQ

Updated June 15, 2026

IonQ is a quantum computing company founded in 2015 by Chris Monroe and Jungsang Kim, two leading researchers in trapped-ion quantum computing from the University of Maryland and Duke University. The company went public via SPAC in 2021 and is one of the most prominent pure-play quantum computing firms.

IonQ builds quantum computers based on trapped-ion technology, which uses individual atoms suspended in electromagnetic fields as quantum bits (qubits). IonQ's Forte system and next-generation hardware offer some of the highest-fidelity quantum operations available, with a roadmap toward fault-tolerant quantum computing. The company's quantum machines are accessible through major cloud platforms (AWS Braket, Azure Quantum, Google Cloud) and its own direct access program.

While current quantum computers are not yet powerful enough to outperform classical computers on most practical problems, IonQ is positioning for the eventual convergence of quantum computing and AI. Quantum algorithms could dramatically accelerate certain AI workloads including optimization, molecular simulation (for drug discovery), and training of certain machine learning models. IonQ's partnerships with pharmaceutical companies and financial institutions reflect early exploration of these quantum-AI applications.

🛠️Products & Tools (1)

IonQ ForteEnterpriseAI Infrastructure

Leading trapped-ion quantum computer. 36-qubit system demonstrated practical quantum advantage (12% over classical HPC). Roadmap to 256 qubits (2026).

Learn more about IonQ

Our curriculum includes an in-depth overview of IonQ's strategy, models, and competitive positioning.

View IonQ Overview Lesson