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Quantum Computing News and Quantum News. Technology News from around the planet. Exciting Latest Developments in Quantum Tech.
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News
Noise-induced Equalization Improves Quantum Learning Accuracy
3+ week, 1+ day ago (266+ words) Researchers at the University of Basel and the University of Pavia published findings in Quantum Science and Technology on August 21, 2026, detailing an approach to quantum learning. The work demonstrates that introducing controlled quantum noise can improve the accuracy of variational…...
Researchers Cut Quantum Circuit Gate Count With Reinforcement Learning
3+ week, 3+ day ago (661+ words) On twenty-qubit Clifford+T circuits, a new method removes double the number of computational steps compared with existing techniques, even when applied to problems five times more complex than those used during its development. By integrating established simplification rules into…...
Mode Mismatch Causes “Hyperloss” Of Up To 30% In Quantum Networks
1+ mon, 2+ week ago (1266+ words) Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to…...
VW And Porsche Researchers Explore The Merits Of Deep Parameterised Quantum Circuits
1+ mon, 2+ week ago (977+ words) With a keen intuition for emerging technologies, The Neuron brings over 5 years of deep expertise to the AI conversation. Coming from roots in software engineering, they've witnessed firsthand the transformation from traditional computing paradigms to today's ML-powered landscape. Their hands-on…...
Purdue Researchers Build Quantum Circuits For Numerical Integration
1+ mon, 3+ week ago (961+ words) Rusty is a quantum science nerd. He's been into academic science all his life, but spent his formative years doing less academic things. Now he turns his attention to write about his passion, the quantum realm. He loves all things…...
Kanno And Colleagues Propose Hodge Spectral Relaxations For Topology-Constrained Optimization
1+ mon, 4+ week ago (1541+ words) Hodge spectral-filter losses now deliver more spatially distributed gradients, smoother scale-normalized behaviour, and geometry-aware update directions than previous persistent-homology-based methods. This represents a shift from discrete topological control to a differentiable framework, enabling integration with gradient-based machine learning techniques. The…...
Chen And Colleagues Designs Recursive QLSTM Framework For Quantum Recurrent Learning
1+ mon, 4+ week ago (1263+ words) Quantum Zeitgeist Samuel Yen-Chi Chen of Wells Fargo, and colleagues from National Taiwan University of Science and Technology, Stevens Institute of Technology, Seoul National University, Brookhaven National Laboratory and Imperial College London, have developed a new approach to quantum recurrent…...
Baruch College’s Ultrametric Completes Von Neumann’s Incomplete Tensor Products
2+ mon, 9+ hour ago (1542+ words) Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to…...
Quantum Machine Learning Gains Speed With Far Fewer Measurements Needed
3+ mon, 3+ week ago (703+ words) With a keen intuition for emerging technologies, The Neuron brings over 5 years of deep expertise to the AI conversation. Coming from roots in software engineering, they've witnessed firsthand the transformation from traditional computing paradigms to today's ML-powered landscape. Their hands-on…...
Classical Evaluation Reveals 94.6% Performance With Parity Representations
3+ mon, 4+ week ago (1120+ words) The Quant possesses over two decades of experience in start-up ventures and financial arenas, brings a unique and insightful perspective to the quantum computing sector. This extensive background combines the agility and innovation typical of start-up environments with the rigor…...