Quantum Computing

European quantum computing startup IQM plans to go public in New York via a SPAC merger, aiming for a $1.8 billion valuation. This move, expected around June, could inject over $300 million to fuel the company’s growth and market expansion. IQM, founded in 2018, has already secured significant funding and developed open-architecture quantum systems for enterprise use. This listing signifies a potential turning point, moving the nascent quantum industry towards commercialization and setting a precedent for other European quantum ventures.

Quantum computing is rapidly advancing, with commercial value expected by 2029. Leveraging qubits and superposition, these machines can solve complex problems far beyond classical computers’ capabilities, offering significant energy efficiency benefits for data centers, particularly in AI model training. While not replacing classical computing entirely, quantum systems will act as hybrid accelerators. Challenges remain in integration, talent, and data security, but investment and M&A activity indicate a strong push towards widespread adoption in the coming decade.

IBM reported a strong fourth quarter and expects continued growth, exceeding earnings and revenue expectations. The company’s generative AI “book of business” surpassed $12.5 billion, driving optimism. IBM also plans to launch its first large-scale quantum computer by 2029. Software and infrastructure segments showed significant growth, particularly IBM Z Systems. The company forecasts over 5% revenue growth for the year.

MicroCloud Hologram Inc. introduces a quantum spectral filter for hybrid graph neural networks. This technology maps graph Laplacian operators to trainable quantum circuits, enabling exponential compression of graph signals. It fuses convolution and pooling into a single quantum process, drastically reducing computational needs for large graphs. The innovation promises significant advancements in processing complex data structures, particularly for large-scale graph learning applications.

Amazon is consolidating its artificial general intelligence efforts under a new division, led by Peter DeSantis, to accelerate AI development and compete more effectively. This move integrates AGI initiatives with custom silicon and quantum computing teams, signaling a strategic shift to address competitive pressures. CEO Andy Jassy believes this reorganization is crucial as Amazon reaches an AI inflection point, aiming to leverage its foundational work and new leadership to drive future innovation. Pieter Abbeel will lead frontier model research within the new unit.

The UK and Germany have forged a partnership to unite their quantum research ecosystems and accelerate commercial deployment of quantum supercomputers, sensors and precision timing. A £6 million UK‑German R&D call launching in 2026 will target prototype‑to‑production development, while £8 million will upgrade photonics infrastructure in Glasgow. Joint efforts include harmonising measurement standards, integrating high‑performance computing via EuroHPC, and supporting aerospace launches. Both governments project quantum technologies could add ~£11 billion to the UK’s GDP by 2045 and sustain over 100,000 skilled jobs.

Horizon Quantum, a Singapore‑based software firm, announced it is the first private company to operate a commercial quantum computer in the city‑state, deploying a proprietary processor built from components by Maybell Quantum, Quantum Machines and Rigetti. Founded in 2018, the startup aims to accelerate quantum‑enabled solutions for pharma, finance, logistics and materials while preparing for a Nasdaq listing via a SPAC merger that values it at about $503 million. The move aligns with Singapore’s national quantum strategy and positions Horizon to capture a share of the projected $30 billion global market.

.Enterprise leaders entering 2026 confront volatility yet trust their firms to perform, driving faster decision‑making and deeper AI integration. Agentic AI is seen as a strategic asset, requiring real‑time data pipelines, secure system access, and production‑grade governance. By year‑end, at least 50 % of staff will need reskilling toward problem‑solving and creativity, as workers favor AI‑enabled roles. Consumers demand transparent data and AI practices, making explainability a product feature. AI sovereignty pushes multi‑cloud, data‑localization strategies, while early quantum experiments focus on limited, high‑value use cases.

.Xeriant (OTCQB:XERI) launched the Factor X Research Group, a Skunk Works‑style unit aimed at accelerating R&D-to‑commercialization across advanced materials, aerospace, AI, quantum computing, and critical infrastructure. Brig. Gen. (Ret.) Blaine D. Holt was appointed president. The group will prioritize the patent‑pending eco‑composite panel NEXBOARD™ for near‑term market entry, pursue multi‑sector deployments, targeted acquisitions, and integrated technology rollouts in defense, aerospace, construction, and infrastructure. Factor X is positioned as Xeriant’s central engine for fast‑tracking innovative, scalable solutions.