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Quantum Zeitgeist

Quantum Computing News and Quantum News. Technology News from around the planet. Exciting Latest Developments in Quantum Tech.

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News

Quantum Zeitgeist
quantumzeitgeist.com > quantum-support-vector-machines-resilient-feature-map-noise

Researchers Find Resilient Feature Map Maintains Accuracy At 10% Noise

3+ day, 9+ hour ago   (173+ words) Muhammad Ahsan Shakeel from Management Sciences and colleagues have shown that an amplitude-inspired quantum feature map maintains one hundred per cent test accuracy up to an error probability of 0.10 across depolarizing, bit-flip and phase-flip noise channels. Other tested feature maps…...

Quantum Zeitgeist
quantumzeitgeist.com > ai-builds-better-data-features-automatically-now

AI Builds Better Data Features Automatically Now

6+ mon, 2+ week ago   (535+ words) A 2.0% reduction in root mean squared error demonstrates a clear advance in predictive accuracy for complex datasets. This automated system bypasses the need for specialist knowledge when preparing data for machine learning. Scientists continually seek methods to improve the performance…...

Quantum Zeitgeist
quantumzeitgeist.com > artificial-training-intelligence-sped-standard-internet-connections

Artificial Intelligence Training Speed Up Using Standard Internet Connections

6+ mon, 3+ week ago   (557+ words) Quantum Zeitgeist Researchers are tackling a significant challenge in large language model (LLM) post-training using reinforcement learning (RL), namely the substantial infrastructure costs associated with synchronising model parameters across distributed systems. Chaoyi Ruan, Geng Luo and Xinyi Wan, from the National…...

Quantum Zeitgeist
quantumzeitgeist.com > learning-decentralized-federated-enables-privacy-preserving

Decentralized Federated Learning Enables Privacy-Preserving Computer Vision On Edge Devices

8+ mon, 18+ hour ago   (798+ words) Quantum Zeitgeist The increasing reliance on machine learning introduces significant privacy concerns as collaborative model training often requires access to sensitive data. Damian Harenčák, Lukáš Gajdošech, Martin Madaras, and colleagues from Comenius University and Skeletex Research address this challenge with…...