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On Mon, 6 Jan, 4:03 PM UTC
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IonQ vs. Rigetti: Which AI stock deserves your dollars?
Investors are evaluating IonQ and Rigetti Computing, two early movers in the quantum computing market, to determine which represents a better investment opportunity. IonQ offers three types of quantum computing systems: the Aria quantum system, the Forte system, and the Forte Enterprise system. The company markets its products and services primarily to government clients and universities while also providing its quantum computing power as a cloud-based service. IonQ is developing "trapped ion" technology aimed at shrinking the size of its quantum processing units (QPUs) from a few feet to a few inches, which could lead to more affordable and powerful systems in the future. Despite a setback from the unexpected departure of co-founder and chief scientist Chris Monroe, IonQ has continued to grow, installing more systems and securing new government contracts and AI partnerships. Rigetti, on the other hand, designs and manufactures its own QPUs and allows developers to write custom quantum algorithms on its Forest cloud platform, which positions it as a "full stack" quantum computing company. Following the abrupt resignation of founder Chad Rigetti from his executive roles in December 2022, the company launched two significant products. In December 2023, Rigetti introduced its Novera QPU, a commercial model that contains 9 qubits at a cost of $900,000, which has attracted orders from major government and research entities. Rigetti also deployed its first 84-qubit Ankaa-3 system, capable of detecting over 99% of processing errors, and plans to release a 100-qubit system with an even higher error detection capability this year. The startups Nvidia thinks are the future of AI Both IonQ and Rigetti went public through special purpose acquisition companies (SPACs) but fell short of their pre-merger revenue targets. IonQ reported $22 million in revenue for 2023, below its goal of $34 million, while Rigetti generated only $12 million, also missing its $34 million target. Despite these setbacks, their stocks reached all-time highs in December 2024 due to positive market sentiment regarding their progress. Analysts forecast IonQ's revenue will grow at a compound annual growth rate (CAGR) of 89% to reach $148 million by 2026, while Rigetti's revenue is expected to grow at a CAGR of 43% to $35 million by the same year. Both companies are projected to remain unprofitable for the foreseeable future and may need to dilute their shares to raise cash and manage stock-based compensation. Since its SPAC merger, IonQ has increased its share count by 10%, whereas Rigetti's share count has risen by 69%. IonQ's enterprise value stands at $8.8 billion, equating to 59 times its estimated 2026 sales, while Rigetti's enterprise value of $4.3 billion implies 123 times its anticipated 2026 sales. The quantum computing sector is anticipated to expand at a CAGR of 34.8% from 2024 to 2032, driven by advancements in chip size and error detection efficiency. Both IonQ and Rigetti are positioned to capitalize on this growth, but their current valuations warrant cautious investment considerations. However, IonQ's superior scale, higher projected growth rates, lower dilution, and more favorable valuation suggest it stands out as a better buy compared to Rigetti at this time for most analysts. Disclaimer: The content of this article is for informational purposes only and should not be construed as investment advice. We do not endorse any specific investment strategies or make recommendations regarding the purchase or sale of any securities.
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Better Artificial Intelligence Stock: IonQ vs. Rigetti Computing | The Motley Fool
Which of these early movers in the quantum computing market is a better buy? 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. 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 (IONQ 10.84%) and Rigetti Computing (RGTI -4.90%). Let's see which of these early movers might be a better investment. 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. Like IonQ, Rigetti also aims to develop cheaper and more scalable QPUs for commercial customers. But Chad Rigetti, who founded the company in 2013, stepped down as its president, CEO, and director in December 2022. That abrupt departure was alarming, but Rigetti subsequently allayed those fears with two major product launches. Last December, Rigetti launched its Novera QPU, a 9-qubit commercial version of its own quantum computer, which costs $900,000. Several major government and research customers have already ordered those QPUs. It also recently deployed its first 84-qubit Ankaa-3 system, which is designed to detect more than 99% of its processing errors, and it plans to deploy a more powerful 100-qubit system with an even higher error detection rate this year. IonQ and Rigetti both went public by merging with special purpose acquisition companies (SPACs), and they missed their rosy pre-merger estimates. IonQ only generated $22 million in revenue in 2023, compared to its original target of $34 million. Rigetti generated just $12 million in revenue in 2023, which also broadly missed its original guidance of $34 million. Yet both stocks hit their all-time highs in December 2024 as the bulls applauded their recent progress. From 2023 to 2026, analysts expect IonQ's revenue to grow at a compound annual growth rate (CAGR) of 89% to $148 million, and for Rigetti's revenue to increase at a CAGR of 43% to $35 million. Both companies are expected to stay unprofitable for the foreseeable future. IonQ and Rigetti could also keep diluting their own shares to raise cash and cover their stock-based compensation expenses. IonQ has only increased its share count by 10% since its SPAC merger, while Rigetti has boosted its share count by 69% since its debut. Both stocks are richly valued. With an enterprise value of $8.8 billion, IonQ already trades at 59 times its estimated sales for 2026. Rigetti's enterprise value of $4.3 billion is equivalent to a whopping 123 times its projected sales for 2026. The quantum computing market could still expand at a CAGR of 34.8% from 2024 to 2032, according to Fortune Business Insights, with smaller chips and more efficient error detection rates. IonQ and Rigetti could benefit from that secular expansion, but investors should be mindful of their soaring valuations. I wouldn't rush to buy either of these speculative stocks, but IonQ's superior scale, higher growth rates, milder dilution, and lower valuation clearly make it a better buy than Rigetti right now.
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A comparative analysis of IonQ and Rigetti Computing, two leading quantum computing companies, as they position themselves in the growing AI market. The article examines their technologies, recent developments, financial performance, and market potential.
In the rapidly evolving landscape of artificial intelligence, quantum computing is emerging as a potential game-changer. Two companies at the forefront of this technology, IonQ and Rigetti Computing, are vying for dominance in the market, each offering unique approaches to quantum computing systems 12.
IonQ has developed a range of quantum computing systems, including the Aria, Forte, and Forte Enterprise systems. The company primarily targets government clients and universities, while also providing cloud-based quantum computing services. IonQ's innovative "trapped ion" technology aims to miniaturize quantum processing units (QPUs) from several feet to just inches, potentially leading to more affordable and powerful systems in the future 1.
Despite the unexpected departure of co-founder and chief scientist Chris Monroe, IonQ has continued to grow, securing new government contracts and AI partnerships 2.
Rigetti positions itself as a "full-stack" quantum computing company, designing and manufacturing its own QPUs while allowing developers to create custom quantum algorithms on its Forest cloud platform. The company has made significant strides with two major product launches:
Both companies went public through special purpose acquisition companies (SPACs) but fell short of their pre-merger revenue targets:
Despite these setbacks, both stocks reached all-time highs in December 2024, driven by positive market sentiment 2. Analysts project significant growth:
While both companies show promise, they face challenges:
The quantum computing sector is expected to grow at a CAGR of 34.8% from 2024 to 2032, driven by advancements in chip size and error detection efficiency 1. This growth could significantly impact AI applications, as quantum computers can process larger quantities of data at much faster rates than traditional computers 2.
As these companies work to miniaturize their chips, reduce error rates, and lower manufacturing costs, quantum computing may become increasingly viable for demanding AI applications 2.
Reference
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IonQ, a leader in quantum computing, faces market volatility and industry skepticism while aiming for profitability by 2030 with projected sales of $1 billion.
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Amazon unveils its Ocelot quantum chip with integrated error correction, joining other tech giants in the quantum computing field. Meanwhile, D-Wave Quantum's focus on quantum annealing presents a differentiated strategy in the evolving market.
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