Is Rigetti Computing the Best Quantum Computing Stock to Buy Right Now?

Rigetti reported a two-qubit gate fidelity of up to 99.9% (dropping to ~99% on its largest 108-qubit system), but the author argues this still lags peers; IonQ holds a 99.99% two-qubit fidelity and plans to deploy a 256-qubit system in 2026. The article concludes Rigetti is not a buy, highlights competitive risk from IonQ, and notes Motley Fool did not include Rigetti in its top-10 Stock Advisor picks (author holds IonQ).

Analysis

Rigetti’s latest fidelity gains reduce one element of execution risk but do not eliminate a structural scaling trade-off in superconducting architectures: as device size grows, control overhead and crosstalk drive nonlinear error accumulation and capital intensity. That dynamic favors competitors whose physical qubit modalities scale with inherently different error models (and therefore different engineering roadmaps), and will shift purchase and partnership decisions at the cloud and systems-integration layer toward vendors who can demonstrate repeatable, system-level error budgets—not just headline gate metrics.

A nearer-term market battleground will be lab-to-production transfer and recurring revenue: the first firms to convert R&D fidelity into accessible, repeatable cloud instances and commercial SLAs will lock in hyperscaler partnerships and high-margin software layers. Operational catalysts to watch are third-party performance benchmarks on production instances, announced hyperscaler integrations, and non-dilutive enterprise pilot wins; negative shocks include failed scale demonstrations, supply-chain bottlenecks for control electronics/cryogenics, or talent attrition that delays roadmaps by quarters.

From a portfolio perspective, the fight is less about a single lab result and more about optionality and time-to-revenue. That argues for asymmetric exposure: we should buy optionality on the market favorite(s) that can translate lab supremacy into enterprise contracts while using limited-duration downside hedges on names that must both scale and commercialize. Monitoring cadence should be weekly for press releases and monthly for revenue/partner updates, with material position adjustments triggered by missed commercialization milestones or confirmed hyperscaler commitments.

Key Decisions for Investors

• Pair trade (12-month horizon): Long IONQ equal-dollar / Short RGTIW equal-dollar, position size 0.5–1.0% AUM each. Rationale: capture divergence between lab-leading modality commercialization and scaling risks in superconducting stacks. Risk/reward: aim for 2–3x upside if IonQ converts lab lead into firm enterprise contracts; cap downside with stop-loss at 25% adverse move in the pair spread.
• Options hedge on Rigetti (6–12 months): Buy put spread on RGTIW sized at 0.5% AUM (long 6–12m put / short cheaper put 10–20% lower) to limit premium outlay while protecting downside from failed scaling or funding shocks. Risk/reward: max loss = premium paid; payoff multiples 3x–5x if share collapse follows missed milestones.
• Long optionality on IonQ (12–24 months): Buy long-dated call or call spread (LEAP) representing 0.5–1.0% AUM to capture commercialization re-rate with limited capital. Risk/reward: full premium loss if commercialization stalls; target 3x–5x returns on successful hyperscaler or enterprise contract announcements.
• Supply-chain/supplier trade (18–24 months): Long NVDA (call spread) sized 0.5% AUM to play software/accelerator and orchestration benefits from hybrid classical-quantum workflows; fund with modest sale of OTM puts to improve carry if comfortable with assignment. Risk/reward: NVDA exposure benefits if quantum workloads integrate with accelerated classical pipelines; downside tied to broader AI cyclicality.
• Event trigger rules: Reduce short RGTIW exposure and reallocate to long IonQ if Rigetti posts two consecutive quarters of meaningful recurring revenue growth or announces multi-hyperscaler production SLAs. Cut long IonQ exposure if it misses a commercialization milestone by more than two quarters relative to its published roadmap.