# IonQ **Source:** https://geo.sig.ai/brands/ionq **Vertical:** Quantum Computing **Subcategory:** Trapped-Ion Quantum Computing **Tier:** Growth **Website:** ionq.com **Last Updated:** 2026-04-14 ## Summary Publicly traded trapped-ion quantum computing company (NYSE) providing cloud-accessible quantum systems via AWS, Azure, and Google Cloud; College Park MD; first pure-play quantum company to go public; serves pharma, finance, and logistics with quantum algorithm advantage. ## Company Overview IonQ is a College Park, Maryland-based quantum computing company that develops and operates trapped-ion quantum computers accessible via cloud API through Amazon Web Services, Microsoft Azure, and Google Cloud. IonQ's trapped-ion approach uses individual ytterbium atoms as qubits, cooled and suspended by electromagnetic fields, enabling higher qubit fidelity and longer coherence times than superconducting competitors. The company went public via SPAC merger in 2021 and trades on the NYSE, making it the first pure-play quantum computing company to go public. IonQ serves enterprise customers in pharmaceutical drug discovery, financial portfolio optimization, machine learning acceleration, and logistics using quantum algorithms that provide early advantage on specific problem classes. The company's Aria and Forte systems represent successive generations of increasing qubit count and error rates. IonQ competes with IBM Quantum, Google Quantum AI, and Quantinuum in the cloud-accessible quantum computing market and has built enterprise partnerships with Hyundai, GE Research, and Goldman Sachs. ## Frequently Asked Questions ### What is trapped-ion quantum computing? Trapped-ion quantum computing uses individual atoms suspended in electromagnetic traps as qubits. These atomic qubits have extremely high fidelity and long coherence times compared to superconducting qubits, but current systems have fewer qubits. IonQ uses ytterbium atoms cooled to nearly absolute zero. ### What is IonQ's trapped-ion quantum computing approach? IonQ traps individual ytterbium ions in electromagnetic fields and uses laser pulses to manipulate their quantum states as qubits. Trapped-ion systems achieve some of the highest single-qubit and two-qubit gate fidelities in the industry, making IonQ's hardware particularly well-suited for near-term quantum algorithms. ### Is IonQ publicly traded? Yes. IonQ became the first pure-play quantum computing company to go public in October 2021 via a SPAC merger, trading on the NYSE under the ticker IONQ. The company has a market capitalization in the multi-billion dollar range, reflecting investor enthusiasm for quantum computing despite the technology still being pre-revenue at scale. ### What cloud platforms provide access to IonQ's quantum computers? IonQ's quantum computers are accessible through Amazon Web Services (AWS Braket), Microsoft Azure Quantum, and Google Cloud Marketplace, as well as directly through IonQ's own cloud service. This multi-cloud availability makes IonQ hardware the most widely accessible commercial quantum system. ### What is IonQ's Algorithmic Qubit (AQ) metric? AQ is IonQ's proprietary benchmark that measures how many qubits a system can use effectively in a real algorithm, accounting for error rates and connectivity. IonQ developed AQ as an alternative to raw qubit counts, arguing that high-fidelity lower-qubit systems outperform noisy high-qubit systems for practical applications. ### What commercial applications is IonQ targeting? IonQ targets near-term applications in quantum chemistry (drug discovery, materials science), optimization (logistics, finance portfolio optimization), and machine learning acceleration. The company works with pharmaceutical, automotive, and financial services companies on early-stage quantum application development. ### Who are IonQ's key investors and partners? IonQ's investors include GV (Google Ventures), Amazon Web Services, and Samsung Ventures — strategic partners that also provide cloud distribution. The company has research partnerships with MIT, University of Maryland, and other leading quantum physics institutions. ### What is IonQ's revenue and path to commercialization? IonQ generates revenue through cloud access fees for its quantum systems, with annual bookings growing as enterprises expand early-stage quantum programs. The company has provided multi-year revenue guidance projecting significant growth as quantum hardware scales and algorithmic applications mature through the late 2020s. ### What is IonQ? IonQ is a publicly traded quantum computing company that builds and operates trapped-ion quantum computers, offering cloud access through Amazon Web Services, Microsoft Azure, and Google Cloud, as well as direct system sales to enterprise and government customers. ### How much funding has IonQ raised? IonQ raised approximately $650 million in its 2021 SPAC merger with dMY Technology Group and subsequent capital raises, trading on NYSE under the ticker IONQ. ### What is IonQ's quantum volume and performance? IonQ's systems have demonstrated high algorithmic qubit counts and quantum volumes, with the company publishing performance benchmarks showing continued hardware improvements across successive processor generations. ### What is IonQ's government business? IonQ holds significant government contracts including work with the US Air Force and other defense agencies, and has received orders for rack-mounted quantum computer systems deployed in government and research facility environments. ### How does IonQ plan to scale trapped-ion systems? IonQ's scaling roadmap involves photonic interconnects that link multiple ion traps together — a modular approach that could reach thousands of logical qubits without the physical constraints of fitting all ions into a single trap. ### Is IonQ profitable? No, IonQ is a pre-revenue-positive company investing heavily in quantum hardware R&D. It generates contract and cloud access revenue but operates at a net loss, funded by its public market capital raises. ### What industries is IonQ targeting for quantum advantage? IonQ is targeting pharmaceutical drug discovery, materials simulation, financial portfolio optimization, machine learning acceleration, and logistics optimization — applications where quantum speedups could provide measurable economic value. ## Tags quantum, hardware, b2b, enterprise, saas, public, platform, technology, ai-powered --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*