A complex quantum computing approach to complex financial risk

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A new quantum algorithm could eventually make it easier for banks to manage the systemic risk that helped bring down the financial system more than a decade ago.Why it matters: Major financial institutions spend huge computing resources in calculating the systemic risk that may be contained in their portfolios. Replacing classical computing with a quantum architecture could allow them to do it faster and cheaper.What's happening: Zapata Computing, a Massachusetts-based quantum software company, and the Spanish bank BBVA are collaborating to develop a quantum algorithm to target credit valuation adjustment (CVA).CVA is a change to the market value of derivative adjustments that account for credit risks from counterparties. It was introduced as a new requirement for banks following the 2007–2008 financial crisis, when the banking system was almost...

Exascale Computing Project Moves Needle on Earthquake Risk Assessment

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As part of the US Department of Energy’s Exascale Computing Project (ECP), the Earthquake Simulation (EQSIM) application development team is creating a computational tool set and workflow for earthquake hazard and risk assessment that moves beyond the traditional empirically based techniques which are dependent on historical earthquake data. With software assistance from the ECP’s software technology group, the EQSIM team is working to give scientists and engineers the ability to simulate full end-to-end earthquake processes. This means understanding what takes place from the initiation of fault rupture (i.e., start of an earthquake) to modeling surface ground motions (i.e., earthquake hazard) to providing engineers with precise information that they can use to evaluate infrastructure response and evaluate the risk to people and property....

Intel Labs Moving Mountains With Neuromorphic Computing And Photonics Technologies

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Director of Intel's Neuromorphic Computing Lab, Rich Uhlig. Screenshot from event keynote. Intel While the industry loves to combine “R&D” and we see this in every tech company’s P&L, research and development are very different. Research is high risk, market making investments and discoveries that are unattached to products. Development is applying that research and other’s IP to create an end product or services. Development is less risky. Very few companies do research, and Intel has had a heritage in research for decades. One of the most exciting aspects of working as a tech analyst is, quite frankly, being one of the first to learn of these new, research-driven, cutting-edge technologies coming down the pipeline in the not-so-distant future—from the expected to the truly mind-boggling. As such, I always look...