Authors: Bob Sorensen
Publication Date: September 2019
Length: 3 pages
The UK’s National Quantum Technologies Programme recently entered its second phase of funding, part of which will be a £94 million investment in its four Quantum Technologies Research Hubs tasked with research on quantum sensors, computing, imaging, and communications. The Programme is an integral part of the UK’s ultimate vision of creating a viable indigenous commercial capability in quantum-enabled products bound for the defense and security, oil and gas, finance, and healthcare sectors, to name a few. Close coordination and cooperation with key industrial partners will be critical to the overall success of this effort.
The Department of Energy at Oak Ridge National Laboratory (ORNL) recently announced plans for the development of a 1.5 exaflops system called Frontier to be delivered in 2021. US HPC maker Cray and chip maker AMD are the two key US commercial partners in this effort. Despite numerous press articles centered on the 1.5 exaflops peak performance of Frontier, ORNL's original RFP released in April of 2018 clearly called out the diverse workload requirements that Frontier would have to successfully handle that span the traditional modeling and simulation sector, big data analysis, and AI applications, while demonstrating a 50X improvement in solving key DOE science problems that today run at the 20 petaflops level. To meet those ambitious goals, strong support from DOE's companion $1.7 billion Exascale Computing Project (ECP) will be critical.
May 2019 | Quick Take
IBM's recent announcement of their new Q System One universal quantum computer is yet another milestone in the firm's long-term commitment to transitioning quantum computing (QC) hardware from one-off research status into a capable commercial offering. Although the new Q System One, as announced, does not demonstrate any significant advances in current quantum computing capability, as measured by the number of qubits per system, it does show that IBM can design and manufacture a system that, at the right price, could be attractive to a wide range of users looking to integrate quantum computing into their overall R&D process.
January 2019 | Quick Take