Better Artificial Intelligence Stock: IonQ vs. Rigetti Computing

In This Article:

When investors discuss the artificial intelligence (AI) market, they often focus on GPU makers like Nvidia, generative AI software developers like OpenAI, AI-driven cloud giants like Microsoft, and data center and networking chipmakers like Broadcom. Yet those investors will often overlook the potential AI tailwinds for the budding quantum computing market.

Quantum computers can process binary bits of zeros and ones simultaneously, while traditional computers process those bits individually. That difference enables quantum computers to process larger quantities of data at a much faster rate, but they're still bigger and more expensive, and generate a higher rate of errors than traditional computers. That's why they're still not as widely used to process AI applications as high-end data center GPUs.

The letters "AI" projected on a circuit board.
Image source: Getty Images.

But over the next few years, quantum computing companies plan to miniaturize their chips, reduce their error rates, and make them cheaper to manufacture. They're also providing more of their quantum computing power as cloud-based services. Those improvements could make them much more useful for demanding AI applications.

Two quantum computing companies that might benefit from that trend are IonQ (NYSE: IONQ) and Rigetti Computing (NASDAQ: RGTI). Let's see which of these early movers might be a better investment.

The differences and similarities between IonQ and Rigetti

IonQ sells three types of quantum computing systems: Its top-tier Aria quantum system, its commercial-oriented Forte system, and its on-premise Forte Enterprise system. It also provides its quantum computing power as a cloud-based service. It mainly sells its products and services to big government customers and universities.

It's also been developing a "trapped ion" technology that could potentially shrink the width of a quantum processing unit (QPU) from a few feet to a few inches. That miniaturization process could pave the way toward the development of cheaper and more powerful quantum computing systems in the future.

However, those efforts suffered a setback when its co-founder and chief scientist Chris Monroe -- who had pioneered the trapped ion process -- unexpectedly stepped down last year. Yet IonQ continued to grow after Monroe's departure by installing more systems, signing new government contracts, and securing new AI partnerships.

Rigetti designs and manufactures its own QPUs, and it lets developers write their own quantum algorithms on its Forest cloud platform. That one-stop shop model makes it a "full stack" quantum computing company.