… It also puts into greater focus the roles that classical HPC , AI , and software will play in researching and developing QEC. “These results make hardware-faithful noisy circuit simulation practical at experiment-relevant scales that were previously out of reach, enabling routine digital-twin studi… …
… QIR was clearly a sort of valuable element that we knew had to become a part of the ecosystem at some point, because otherwise it's just an enormous amount of wasted effort if everyone is writing an API every time they want to connect some software tool to some hardware tool.” The problem – again –… …
… Startup superconducting quantum processor maker QuantWare wrote that “as the boundaries between classical and quantum computing move closer together, the industry is converging on one vision : the future of high-performance computing will be heterogeneous where quantum computing will emerge as anot… …
… Software frameworks, development tools, and even better hardware interfaces are being designed primarily for AI workloads, creating an environment where scientific computing increasingly feels like an afterthought. …
… The challenge now is finding ways to make these systems work together as seamlessly as possible, which means not only linking the hardware but also addressing everything from algorithms to software to the role AI plays in the mix. …
… And it slated RDMA acceleration for S3-compatible object storage for later this year. …
… We also see that tools problem becoming a pain point. Different teams adopt different tools for similar problems, and that results not only in operational inefficiency, but also in overlaps and poor integrated solutions. …
Dell Bulks Up Hardware As AI Infrastructure Shifts To On-Premises The first day of the Dell Technologies World 2026 conference in Las Vegas this week had a faintly familiar vibe to it, an echo from several years ago, before the broad adoption of cloud computing had OEMs talking as much about optimi… …
… They wrote in a 49-page preprint paper on arXiv that this means that quantum hardware available now, used with new algorithms and quantum-centric supercomputing workloads, can simulate the properties of materials, putting them on the path to being useful tools for scientific discovery. …
… There are so many different ways to get code onto so many different kinds of compute engines that it is enough to make your stomach churn, and there is a modicum of lock-in, intended as with Nvidia’s CUDA stack or not as with AMD’s ROCm and Intel’s OneAPI . “The tools used to deploy AI models today… …