Stock Markets April 22, 2026 01:14 PM

Northland Sees Quantum Systems Taking Over AI Training Infrastructure

Analyst names trapped-ion and photonic players as early leaders; assigns mixed ratings across the field

By Priya Menon IONQ XNDU QUBT QBTS RGTI
Northland Sees Quantum Systems Taking Over AI Training Infrastructure
IONQ XNDU QUBT QBTS RGTI

Northland Capital Markets began coverage of the quantum computing industry, arguing quantum machines are the primary route to handle AI training workloads that exceed classical hardware capacity. Senior analyst Nehal Chokshi set valuations, ratings, and a long-term cash-flow framework that favors certain modalities and specific companies while treating others more cautiously.

Key Points

  • Northland initiated coverage of the quantum computing sector, viewing quantum systems as the primary route to address AI training workloads that classical hardware cannot handle.
  • The firm values the current quantum industry at $88 billion and used a 15-year DCF with a projected 35% free cash flow margin to argue early movers may capture foundational infrastructure.
  • Analyst Nehal Chokshi started Outperform ratings on IONQ (Target $55), Xanadu (XNDU, Target $43), and Quantum Computing Inc (QUBT, Target $20), while assigning Market Perform to D Wave (QBTS) and Rigetti (RGTI).

Northland Capital Markets has opened formal coverage of the quantum computing industry, positioning the sector at a potential inflection point for high-performance compute infrastructure. Senior analyst Nehal Chokshi frames the shift as a response to escalating AI training requirements that classical hardware cannot sustainably meet.

Chokshi highlights the dimensionality and scale of modern AI models, writing that "The training of today28099s modern Large Language Models typically happen in a 4096 dimension space, making the training of LLMs a massively parallel optimization problem." Against that backdrop, he identifies quantum systems as the principal pathway to manage increasingly complex computational workloads.

On the market-sizing front, Northland estimates the current aggregate enterprise value of the quantum industry at $88 billion, while noting scope for substantial growth as the technology matures and commercial applications expand.

In issuing company-level recommendations, Chokshi elevated IONQ Inc (NYSE:IONQ) to a top pick, initiating coverage with an Outperform rating and a $55 price target. He argues the company's trapped-ion modality, combined with recent strategic acquisitions, positions IONQ to reach broad quantum advantage by 2030, a milestone Northland contends supports IONQ's present $18 billion valuation.

Chokshi also expressed a methodological preference for light-based architectures, stating: "We believe photonic based quantum computers are best positioned to achieve Broad Quantum Advantage due to photon based interconnects." That view underpins Outperform starts on Xanadu Quantum Technologies Ltd (NASDAQ:XNDU) with a $43 target and on Quantum Computing Inc (NASDAQ:QUBT) with a $20 target.

By contrast, Northland took a more tempered view of D Wave Quantum Inc (NYSE:QBTS) and Rigetti Computing Inc (NASDAQ:RGTI), initiating both with Market Perform ratings. While recognizing these firms hold niche roles within the broader ecosystem, Chokshi signaled skepticism that their current roadmaps will deliver market leadership in the AI training segment.

On portfolio construction within the sector, Chokshi advised diversification across quantum companies to spread risk and capture potentially asymmetrical upside. Northland framed its sector outlook through a 15-year discounted cash flow model that assumes a 35% free cash flow margin, arguing that early entrants may be securing the foundational infrastructure of a new computing era.


Contextual note: The coverage outlines a multi-year investment horizon and modality-specific preferences while attaching explicit ratings and price targets to named companies. The firm28099s projections and ratings form the basis of its suggested positioning in the sector.

Risks

  • Timing and execution risk for achieving broad quantum advantage by 2030 - sectors tied to AI training and high-performance computing may face delayed benefit if timelines slip.
  • Uncertainty over company roadmaps: Northland is skeptical that D Wave and Rigetti28099s current plans will lead to market dominance in AI training, posing revenue and competitive risks for hardware suppliers and service providers.
  • Valuation and operational execution risk for early movers: the firm28099s upside thesis depends on sustained technology maturation and margin realization implied by the 15-year DCF assumption, affecting investors, infrastructure providers, and data-center related markets.

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