
Quantum Elements wins TMCnet’s Product of the Year award
Quantum Elements’ Constellation platform earned TMCnet’s 2026 Quantum Computing Product of the Year award, accelerating development of fault-tolerant systems.
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Pasqal’s new workflow turns quantum ideas into QPU experiments
Quantum non-Markovian response spectra
On linearity or non-linearity in machine learning for quantum chaotic dynamics
Combining Error Verification and Privacy Amplification in Quantum Key Distribution
Quantum Networking at the Speed of Quantum Computation: Kilohertz Entanglement in a Heterogeneous Quantum System
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Order from chaos with adaptive circuits on quantum hardware
DOE Funds AI-Driven Catalyst Discovery Project as Part of Genesis Mission
On October 8, the U.S. Department of Energy (DOE) announced a second round of funding for its Genesis Mission , a nationwide initiative to use AI to tackle pressing challenges in science and technology. Among the projects that will receive funding is a Caltech effort that will use AI to help identify new and better catalysts, materials that speed up chemical reactions. The catalysis project is led by the DOE's SLAC National Accelerator Laboratory in collaboration with Caltech and Lawrence Be...
Patenting Quantum Computing Innovations – Part 5: Shor’s Algorithm and Conclusions
In part five of our five part series on quantum patents, Sinan Utku discusses why an attempt to patent Shor's algorithm would likely be challenged. The article concludes with an observation about the uncertain state of patent eligibility law in the US. The post Patenting Quantum Computing Innovations – Part 5: Shor’s Algorithm and Conclusions appeared first on Quantum Computing Report .
How researchers tell different quantum excitations apart in individual molecules
Molecules can be placed in a wide variety of quantum states. How can these states be distinguished in measurements when theoretical models are unreliable? Which excitation process lies behind which measurement signal?