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8 Quantum Computing Stocks to Buy Now
The Motley Foolยท2025-05-26 12:00

Core Insights - Quantum computing is poised to unlock trillions of dollars in value by 2040, with its ability to solve complex problems much faster than traditional computers [1] - Recent advancements in qubit stability and error correction are bringing quantum computing closer to mainstream commercial use, with potential transformative impacts across various sectors [2] Company Summaries - Amazon (AMZN) is leveraging its AWS cloud infrastructure to democratize quantum computing through Braket, potentially creating a new multibillion-dollar revenue stream as it becomes a go-to quantum cloud provider [5] - Alphabet (GOOGL) continues to advance its quantum efforts with the Willow chip, which shows significant improvements in error reduction, positioning the company to commercialize breakthroughs that could transform its core businesses [6][7] - IBM (IBM) leads in enterprise quantum computing with over 60 quantum systems deployed globally and a comprehensive software platform, giving it a first-mover advantage in capturing corporate quantum spending [8] - Microsoft (MSFT) is pursuing a topological qubit approach and building a comprehensive Azure Quantum ecosystem, which could lock in corporate customers for decades [9] - D-Wave Quantum (QBTS) focuses on quantum annealing systems that generate revenue today, positioning itself as a near-term winner in commercial quantum computing [10] - IonQ (IONQ) develops trapped ion quantum computers with superior qubit connectivity, demonstrating real-world applications and offering direct exposure to quantum computing's growth potential [11] - Rigetti Computing (RGTI) provides end-to-end quantum solutions and controls its technology stack, combining startup agility with the necessary vertical integration for commercial viability [12] - Nvidia (NVDA) powers quantum computing through its CUDA-Q platform, enabling significant speedups for quantum simulations and ensuring profitability from quantum breakthroughs regardless of hardware approach [13][14]