MarketMoodz
Bernstein Names Rigetti and Infleqtion as Top Quantum Upside Plays
Bernstein analysts told CNBC that quantum computing is the next big profit pool in tech and singled out Rigetti Computing (RGTI) and Infleqtion (INFQ) as the two pure-play names with the most attractive risk-reward. Their framework treats quantum processors as specialized accelerators in a tri-processor architecture (CPUs, GPUs, QPUs), and estimates current valuations imply roughly 4% long-term share for Rigetti and 2% for Infleqtion.
Key Takeaways
- Bernstein identifies Rigetti (RGTI) and Infleqtion (INFQ) as the two quantum pure-plays with the most upside potential, per CNBC.
- Their model implies ~4% long-term market share for Rigetti and ~2% for Infleqtion, suggesting meaningful upside if share gains accelerate.
- Rigetti has about $590 million in cash and equivalents (end-December) and has sold a 9‑qubit Novera QPU to the University of Saskatchewan while scaling toward 1,000 qubits.
- Infleqtion has drawn institutional coverage: Citi and BTIG initiated with Buy ratings and $20–$22 targets, and it partners with Nvidia to integrate its Sqale neutral‑atom system with Nvidia AI supercomputers.
- Broker support for Rigetti: Mizuho reiterated an Outperform in April with a $33 target, while RGTI has risen roughly 93% over the past year and INFQ about 39% since its July IPO.
People Involved
- No specific individuals mentioned
Entities Involved
- Bernstein ResearchInvestment research firm highlighting quantum opportunity and identifying RGTI and INFQ as attractive risk-reward
- Rigetti Computing (RGTI)Pure-play quantum firm using superconducting qubits; cited for Novera 9‑qubit sale and cash position (~$590M)
- Infleqtion (INFQ)Pure-play focused on neutral‑atom quantum systems (Sqale) and noted partner with Nvidia
- MizuhoBroker that reiterated an Outperform on Rigetti in April with a $33 price target
- CitiInitiated coverage on Infleqtion with a Buy rating and a $20 target
- BTIGInitiated coverage on Infleqtion with a Buy rating and a $22 target
- NvidiaPartner to integrate Infleqtion's Sqale neutral‑atom system with Nvidia AI supercomputers
- University of SaskatchewanBuyer of Rigetti's 9‑qubit Novera QPU as part of Rigetti's scaling efforts
MarketMoodz Analysis
For investors, Bernstein’s call reframes quantum as a hardware-led growth theme where upside hinges on market share gains rather than winner-take-all dominance. Treating QPUs as specialized accelerators alongside CPUs and GPUs implies meaningful revenue pools for multiple vendors; Bernstein’s ~4%/2% share assumptions for Rigetti and Infleqtion mean current prices may already bake in only modest penetration. That creates a classic asymmetric bet: modest capital allocation today could produce outsized returns if either company expands enterprise deployments, secures large partnerships or materially increases qubit scale and performance.
Practical catalysts are clear and trackable: Rigetti’s ~$590 million cash buffer (end‑December) gives it runway to iterate on superconducting chiplet tech and push qubit counts — highlighted by the 9‑qubit Novera sale to the University of Saskatchewan — while Infleqtion’s neutral‑atom approach and reported Nvidia integration (Sqale) targets AI‑quantum workflows that investors prize. Broader validation arrives via sell‑side coverage: Mizuho’s reiterated Outperform and Citi/BTIG buy initiations on Infleqtion tighten the narrative and provide specific price targets against which gains can be measured.
Risks remain material: Bernstein notes that different modalities offer different near‑ and long‑term advantages, and the market is unlikely to crown a single winner. Watch qubit quality and scaling milestones (progress toward 1,000 qubits), partnering announcements, customer wins, and follow‑on funding or revenue beats. Also remember these points were reported via CNBC and reflect Bernstein’s analytical framing rather than guaranteed outcomes; investors should cross‑check broker notes, price targets, and product details (including the spelling/branding of Infleqtion’s Sqale) before adjusting allocations.
Source: Original Article