IBM Quantum Heron Processor Runs 52-Qubit QFT Circuit
Researchers from ParityQC executed a 52-qubit quantum Fourier transform on IBM Quantum Heron r3, setting a new benchmark for quantum algorithm performance.
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IBM Introduces Quantum Diagonalization Method on IBM Hardware
IBM researchers have developed a new quantum diagonalization technique that runs on IBM hardware, achieving a 2.5x speed improvement over classical methods.
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IBM and MIT Develop Quantum Algorithm for High-Speed Racing
IBM and MIT researchers unveiled a quantum algorithm capable of simulating high-speed racing scenarios 10 times faster than classical methods, published on April 30, 2026.
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IBM Launches Qiskit Global Summer School 2026
IBM opens registration for Qiskit Global Summer School 2026, a free virtual program running 13–24 July 2026, offering quantum computing skills through lectures, labs, and expert Q&As.
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IBM Unveils AI-Driven Simulation Tool for Dallara
IBM introduces AI-powered simulation tool for Dallara, reducing crash-test time by 70% in early trials.
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Intel Demonstrates SQL RAG AI Agent With Four-Step Process
Intel has developed an end-to-end SQL and RAG AI agent that can be built in four steps, according to a recent blog post.
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Intel Shares Guide to Containerizing Local LLMs
Intel released a guide detailing how to containerize local large language models, offering developers streamlined deployment options.
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Intel Explains Retrieval Augmented Generation
Intel outlines how retrieval augmented generation improves AI accuracy by integrating external data sources.
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Intel Introduces Reranking for Better Tabular Data Ingestion in RAG
Intel announced a new reranking method to improve tabular data ingestion for retrieval-augmented generation, enhancing efficiency by up to 30%.
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Intel Introduces Tool for Deploying Multiple LLMs in Cloud
Intel announced a new tool that allows developers to deploy multiple large language models in a cloud-native environment, enhancing scalability and efficiency.
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Intel Shares Four Data Cleaning Techniques for LLM Performance
Intel outlines four data cleaning methods that improved LLM performance by up to 15% in internal testing.
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MiniMax M3 Uses Sparse Attention for 9.7× Prefill Speedup
MiniMax's M3 model achieves 9.7× prefill speedup and 15.6× decode speedup at 1M tokens, signaling a shift toward sparse attention mechanisms.