3 Quantum Stocks to Buy If You Already Have IonQ

The article highlights Rigetti, Infleqtion and D-Wave as alternative quantum-computing investments to IonQ, whose Q2 revenue rose 287% year over year to $80.1 million despite a $1.87 billion loss. Rigetti received $100 million in CHIPS Act funding and reported $5.1 million of Q2 revenue with a $28.1 million operating loss; Infleqtion secured a $20 million NASA contract and has an Nvidia partnership for AI-quantum data centers. D-Wave reported a 1,120% year-over-year increase in first-half bookings and a $35.5 million pipeline, while its recent fault-tolerant quantum research supports the long-term commercialization thesis despite currently stretched valuations.

Analysis

The investable distinction is not “quantum exposure” but time-to-revenue and capital-intensity. Hardware pure plays will remain valued on technical milestones, bookings quality, and government validation rather than near-term earnings; that makes the group highly reflexive around research papers and contract announcements, but vulnerable when awards fail to convert into recurring cloud or enterprise revenue. Government participation can lower financing risk for RGTI and INFQ, yet it may also dilute equity holders before commercial unit economics are proven.

QBTS has a potential differentiation path if its gate-model work translates from laboratory error metrics into customer-accessible systems, while its installed optimization base could provide a more credible bridge to commercial revenue than firms reliant solely on future fault tolerance. Conversely, neutral-atom claims at INFQ should be treated as technology positioning until independent benchmarks demonstrate logical-qubit performance, uptime, and cost per useful computation. AMZN, MSFT and NVDA are likely option-value beneficiaries through cloud, orchestration, and accelerated-computing demand, but quantum revenue is too immaterial to move their earnings over the next 12 months.

Near term, retail-flow and headline beta can overwhelm fundamentals across IONQ, RGTI, INFQ and QBTS. Over 1-3 months, quarterly bookings, cash burn, backlog conversion, and share issuance are the relevant catalysts; over 6-18 months, the winners will be those converting public-sector pilots into repeatable enterprise workloads. The contrarian view is that a hybrid AI/quantum data-center narrative may raise demand for control electronics and cloud integration well before it produces meaningful quantum-compute revenue, favoring platform suppliers over speculative hardware equities.

Key Decisions for Investors

• Maintain a small, catalyst-driven long bias in QBTS only into its next earnings/update if bookings conversion and enterprise mix improve; size as a high-volatility venture-style position and exit on a material backlog decline, accelerated cash burn, or equity financing not tied to a contracted customer award.
• Use RGTI as a government-funding watch item rather than a core long: verify the funding terms, timing, matching-capital requirements, and dilution before entry. A confirmed non-dilutive or milestone-funded award could justify a 1-3 month tactical long; a shelf registration or at-the-market issuance would falsify the near-term thesis.
• Avoid using NVDA, AMZN, or MSFT as direct quantum trades. Their quantum optionality is economically negligible; retain them only where AI/cloud fundamentals independently support the position.
• For relative-value exposure, monitor a long QBTS or RGTI / short IONQ pair after comparing enterprise revenue, cash runway, and EV-to-forward-sales. Do not initiate without current valuation and borrow data; the trade is attractive only if IONQ retains a materially higher revenue multiple without superior backlog conversion or technical milestones.
• Treat INFQ’s NASA and NVDA associations as confirmation catalysts, not earnings catalysts. Reassess after the next disclosed contract economics and independent hardware benchmarks; absent disclosed revenue, gross-margin, or deployment metrics, avoid chasing announcement-driven gaps.