
Challenges and Opportunities for Securing a Robust US Quantum Computing Supply Chain
$1,500.00
Authors: Bob Sorensen, Tom Sorensen
Publication Date: June 2022
Length: 25 pages
Hyperion Research, at the behest of QED-C®, recently conducted a survey seeking information and insights on the various challenges facing the global QC supply chain. Based on a survey of US quantum computing (QC) commercial entities spanning the QC ecosystem, there are significant concerns that there could be a serious QC-related supply chain disruption in the next few years. Potential choke points are widely dispersed across the supply chain spanning assured access to necessary raw materials to a steady supply of trained software experts. Further complicating this issue is that the QC sector is currently in a nascent and rapidly changing state with a spate of new technologies, hardware and software implementations, and related production and distribution schemes yet to be firmly established.
Related Products
GPU and Accelerator Growth in HPC
Earl Joseph, Alex Norton
Hyperion Research has followed the growth of accelerators in HPC for more than 10 years. Accelerators had an initially slow HPC adoption curve but have recently experienced amplified growth. Within the HPC accelerator market, GPUs, particularly those from Nvidia, have dominated. Although originally designed as gaming processors for graphics rendering, GPUs were found to be well suited to a range of HPC applications, plus critical underlying AI functions, such as matrix multiplication, driving impressive performance gains. As a result, many HPC sites across a broad range of verticals are now using accelerators to speed up a larger portion of their increasingly AI-based workloads.
December 2020 | Special Analysis
Looking at 2020 and Beyond: Key Considerations and Recommendations for HPC Modernization Efforts
Bob Sorensen
The high performance computing (HPC) sector is in the early stages of a major reinvention, fueled by a confluence of innovation in HPC hardware and system architectures, changing algorithms and application bases, and new access models.
December 2019 | Special Analysis