We use cookies to understand how you use our site and to improve your experience.
This includes personalizing content and advertising.
By pressing "Accept All" or closing out of this banner, you consent to the use of all cookies and similar technologies and the sharing of information they collect with third parties.
You can reject marketing cookies by pressing "Deny Optional," but we still use essential, performance, and functional cookies.
In addition, whether you "Accept All," Deny Optional," click the X or otherwise continue to use the site, you accept our Privacy Policy and Terms of Service, revised from time to time.
You are being directed to ZacksTrade, a division of LBMZ Securities and licensed broker-dealer. ZacksTrade and Zacks.com are separate companies. The web link between the two companies is not a solicitation or offer to invest in a particular security or type of security. ZacksTrade does not endorse or adopt any particular investment strategy, any analyst opinion/rating/report or any approach to evaluating individual securities.
If you wish to go to ZacksTrade, click OK. If you do not, click Cancel.
Can Rigetti's NVIDIA Partnership Unlock Quantum-AI Breakthroughs?
Read MoreHide Full Article
Key Takeaways
Rigetti's NVIDIA partnership integrates its quantum processors into hybrid CPU-GPU systems.
RGTI's fast gate speeds support real-time interaction in hybrid quantum-classical setups.
Rigetti sees quantum boosting AI use cases like drug discovery and optimization problems.
Rigetti Computing’s (RGTI - Free Report) partnership with NVIDIA, announced in October 2025, is shaping up to be more than just a collaboration, it is a strategic bridge between quantum computing and the rapidly scaling AI ecosystem. By working on NVIDIA’s NVQLink platform, Rigetti is positioning its quantum processors not as standalone experimental systems, but as accelerators within hybrid computing environments. This is critical because the near-term commercial viability of quantum computing hinges on the ability to integrate with existing CPU-GPU infrastructure rather than replace it.
Rigetti’s superconducting architecture, with gate speeds in the tens of nanoseconds, is already approaching the latency requirements needed for real-time interaction with classical systems. This gives it a practical edge in hybrid deployments, where slower modalities would struggle to keep up.
More importantly, this collaboration could unlock a meaningful breakthrough in how complex computational problems are solved. Rigetti’s management frames quantum as a “simultaneous computing” layer that complements GPUs, particularly for problems involving massive variable interactions where classical systems fail to converge efficiently. If successfully integrated, this hybrid model could accelerate use cases across drug discovery, materials science and optimization problems, areas already heavily reliant on AI infrastructure.
The NVIDIA partnership not only validates this vision but also increases the likelihood of early enterprise adoption, as customers can experiment within familiar HPC environments. Over time, as Rigetti scales toward higher qubit counts and improved fidelity, this hybrid approach could transition from experimental to economically valuable workloads.
For investors, this partnership signals a clear go-to-market pathway, embedding quantum into AI and high-performance computing workflows rather than waiting for a fully standalone quantum advantage.
Peers Updates
IonQ’s (IONQ - Free Report) long-term strategy centers on its trapped-ion architecture, which is recognized for enabling high qubit fidelity and extended coherence times — key factors in the pursuit of scalable quantum systems. The company has continued to advance its roadmap, recently introducing the AQ 64 Tempo system and achieving a record 99.99% two-qubit gate fidelity. Alongside these technical milestones, IonQ is broadening its capabilities through acquisitions like Oxford Ionics and Vector Atomic, enhancing presence across quantum computing, networking, sensing and cybersecurity, while expanding the total addressable market.
Quantum Computing Inc. (QUBT - Free Report) has entered 2026 with several growth drivers in place, led by its February acquisition of Luminar Semiconductor, which is expected to start contributing revenues from the first quarter. The deal strengthens Quantum’s capabilities in semiconductor design, fabrication and packaging while adding an established customer base. Meanwhile, the company is scaling its Fab 1 photonic chip facility, which has already begun generating early revenues and is likely to gain traction in 2026. QUBT is also advancing across emerging areas such as photonic AI (Neurawave), quantum authentication and sensing, while exploring AI infrastructure opportunities through partnerships like POET Technologies.
Rigetti’s Price Performance, Valuation and Estimates
Shares of RGTI have lost 51.4% in the past six-month period compared with the industry’s decline of 24.3%.
Image Source: Zacks Investment Research
From a valuation standpoint, Rigetti trades at a price-to-book ratio of 9.5, above the industry average. RGTI carries a Value Score of F.
Image Source: Zacks Investment Research
The Zacks Consensus Estimate for Rigetti’s 2026 earnings implies a significant 74.3% improvement from the year-ago period.
Image: Bigstock
Can Rigetti's NVIDIA Partnership Unlock Quantum-AI Breakthroughs?
Key Takeaways
Rigetti Computing’s (RGTI - Free Report) partnership with NVIDIA, announced in October 2025, is shaping up to be more than just a collaboration, it is a strategic bridge between quantum computing and the rapidly scaling AI ecosystem. By working on NVIDIA’s NVQLink platform, Rigetti is positioning its quantum processors not as standalone experimental systems, but as accelerators within hybrid computing environments. This is critical because the near-term commercial viability of quantum computing hinges on the ability to integrate with existing CPU-GPU infrastructure rather than replace it.
Rigetti’s superconducting architecture, with gate speeds in the tens of nanoseconds, is already approaching the latency requirements needed for real-time interaction with classical systems. This gives it a practical edge in hybrid deployments, where slower modalities would struggle to keep up.
More importantly, this collaboration could unlock a meaningful breakthrough in how complex computational problems are solved. Rigetti’s management frames quantum as a “simultaneous computing” layer that complements GPUs, particularly for problems involving massive variable interactions where classical systems fail to converge efficiently. If successfully integrated, this hybrid model could accelerate use cases across drug discovery, materials science and optimization problems, areas already heavily reliant on AI infrastructure.
The NVIDIA partnership not only validates this vision but also increases the likelihood of early enterprise adoption, as customers can experiment within familiar HPC environments. Over time, as Rigetti scales toward higher qubit counts and improved fidelity, this hybrid approach could transition from experimental to economically valuable workloads.
For investors, this partnership signals a clear go-to-market pathway, embedding quantum into AI and high-performance computing workflows rather than waiting for a fully standalone quantum advantage.
Peers Updates
IonQ’s (IONQ - Free Report) long-term strategy centers on its trapped-ion architecture, which is recognized for enabling high qubit fidelity and extended coherence times — key factors in the pursuit of scalable quantum systems. The company has continued to advance its roadmap, recently introducing the AQ 64 Tempo system and achieving a record 99.99% two-qubit gate fidelity. Alongside these technical milestones, IonQ is broadening its capabilities through acquisitions like Oxford Ionics and Vector Atomic, enhancing presence across quantum computing, networking, sensing and cybersecurity, while expanding the total addressable market.
Quantum Computing Inc. (QUBT - Free Report) has entered 2026 with several growth drivers in place, led by its February acquisition of Luminar Semiconductor, which is expected to start contributing revenues from the first quarter. The deal strengthens Quantum’s capabilities in semiconductor design, fabrication and packaging while adding an established customer base. Meanwhile, the company is scaling its Fab 1 photonic chip facility, which has already begun generating early revenues and is likely to gain traction in 2026. QUBT is also advancing across emerging areas such as photonic AI (Neurawave), quantum authentication and sensing, while exploring AI infrastructure opportunities through partnerships like POET Technologies.
Rigetti’s Price Performance, Valuation and Estimates
Shares of RGTI have lost 51.4% in the past six-month period compared with the industry’s decline of 24.3%.
Image Source: Zacks Investment Research
From a valuation standpoint, Rigetti trades at a price-to-book ratio of 9.5, above the industry average. RGTI carries a Value Score of F.
Image Source: Zacks Investment Research
The Zacks Consensus Estimate for Rigetti’s 2026 earnings implies a significant 74.3% improvement from the year-ago period.
Image Source: Zacks Investment Research
The company currently carries a Zacks Rank #3 (Hold). You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.