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Freshly Funded Optalysys Optical Processing to Speed Genomics

Optalysys, a start-up pioneering the development of light-speed optical coprocessors, today announced the company raised 3.95 million U.S. dollars from angel investors. Optalysys will use the funds to manufacture the first commercially available high-performance computing processor based on its patented optical processing technology.

IBM Simulates Chemistry with Quantum Computing

IBM scientists have developed a new approach to simulate molecules on a quantum computer that may one day help revolutionize chemistry and materials science. “Over the next few years, we anticipate IBM Q systems’ capabilities to surpass what today’s conventional computers can do, and start becoming a tool for experts in areas such as chemistry, biology, healthcare and materials science.”

Announcing the New MIT–IBM Watson AI Lab

Today IBM announced a 10-year, $240 million investment to create the MIT–IBM Watson AI Lab. “The combined MIT and IBM talent dedicated to this new effort will bring formidable power to a field with staggering potential to advance knowledge and help solve important challenges.”

USRA Upgrades D-Wave Quantum Computer to 2000 Qubits

Today the Universities Space Research Association (USRA) announced it has upgraded its current quantum annealing computer to a D-Wave 2000Q system. The computer offers the promise for solving challenging problems in a variety of applications including machine learning, scheduling, diagnostics, medicine and biology among others.

Radio Free HPC Catches up with Quantum Computing News

In this podcast, the Radio Free HPC team looks at some new developments in the Quantum Computing ecosystem. Last week, IEEE approved a new Standards Project for Quantum Computing Definitions. Meanwhile, Silicon Valley Startup Rigetti Computing has teamed up the CDL incubator to boost the Quantum Machine Learning Startup ecosystem.

Rigetti Computing helps Foster Quantum Machine Learning Startup Ecosystem

While practical Quantum Computing remains somewhere in the future, it is already starting to spark new Startup opportunities. “Quantum machine learning will power some of the most impactful and exciting near-term applications of quantum computing. The startups at the CDL are at the leading edge of this technology and will get early access to Rigetti’s general-purpose quantum hardware and to Forest, one of the most sophisticated quantum programming environments in the world,” said Madhav Thattai, Chief Strategy Officer, Rigetti. “We’re looking forward to working with these pioneering individuals and teams to help create and accelerate the quantum application ecosystem.”

IEEE Approves Standards Project for Quantum Computing Definitions

“While Quantum Computing is poised for significant growth and advancement, the emergent industry is currently fragmented and lacks a common communications framework,” said Whurley (William Hurley), chair, IEEE Quantum Computing Working Group. “IEEE P7130 marks an important milestone in the development of Quantum Computing by building consensus on a nomenclature that will bring the benefits of standardization, reduce confusion, and foster a more broadly accepted understanding for all stakeholders involved in advancing technology and solutions in the space.”

HPC Analyst Crossfire at ISC 2017

In this video from ISC 2017, Addison Snell from Intersect360 Research fires back at industry leaders with hard-hitting questions about the state of the HPC industry. “Listen in as visionary leaders from the supercomputing community comment on forward-looking trends that will shape the industry this year and beyond.”

Radio Free HPC Looks at Posit Computing

In this podcast, the Radio Free HPC team looks at the problems with IEEE Floating Point. “As described in a recent presentation by John Gustafson, the flaws and idiosyncrasies of floating-point arithmetic ‘constitute a sizable portion of any curriculum on Numerical Analysis.’ The whole thing has Dan pretty worked up, so we hope that the news of Posit Computing coming to the new processors from Rex Computing will help.”

ORNL Taps D-Wave for Exascale Computing

announced they’re bringing on D-Wave to use quantum computing as an accelerator for future exascale applications. “Advancing the problem-solving capabilities of quantum computing takes dedicated collaboration with leading scientists and industry experts,” said Robert “Bo” Ewald, president of D-Wave International. “Our work with ORNL’s exceptional community of researchers and scientists will help us understand the potential of new hybrid computing architectures, and hopefully lead to faster and better solutions for critical and complex problems.”