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Advances in quantum computing and AI model compression

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2026-09-03 11:39 UTC → 2026-09-06 04:56 UTC · added removed

Developments in quantum computing and AI model efficiency have emerged through research and commercial application. IBM and the University of Chicago researchers successfully performed a complex calculation using 70 logical qubits, a task designed to be beyond the reach of classical computers while utilizing error detection methods to ensure reliability. Concurrently, the Spanish company Multiverse Computing has focused on reducing the operational costs of artificial intelligence. Following initial reports of their quantum-inspired compression software, the company The company, valued at over 1.5 billion euros, launched Quasar 438B, a reasoning AI model. This model utilizes CompactifAI technology it describes as ‘the most intelligent AI model in Europe’. According to compress the GLM-5.2 Intelligence Index by Artificial Analysis, Quasar 438B scored 43 points, surpassing the 35 points achieved by Mistral Medium 3.5. Technical documentation suggests Quasar 438B is based on GLM-5.2, an open-source model developed by the Chinese laboratory Zhipu AI. While Multiverse Computing has not publicly detailed its relationship with the Chinese model, data indicates Quasar 438B may be a compressed version of GLM-5.2 created via the company’s CompactifAI platform. This compression reduces the parameter count from 753 billion to 438 billion parameters. While testing indicated a decrease in intelligence scores billion, increasing speed from 53 68 tokens per second to 43, the compression enables higher speeds of approximately 183 tokens per second and lower costs, aiming second. While the compression results in a performance drop from the original model’s 53 points to 43 points, it aims to provide European organizations with high-performance, low-latency options.

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  1. 2026-09-06 04:56 UTC Advances in quantum computing and AI model compression
  2. 2026-09-03 11:39 UTC Advances in quantum computing and AI model compression

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