Three insights you might have missed from theCUBE’s coverage of HPE World Quantum Day Quantum computing, artificial intelligence and high-performance computing will play complementary roles in driving the next era of technology innovation. That is, if the industry can figure out a way to open doors and more easily enable development work beyond quantum specialists. Speaking with theCUBE’s enterprise editor, Paul Gillin (pictured, left), as part of an AnalystANGLE segment during the HPE World Quantum Day event, Dave Vellante (right), chief analyst at theCUBE Research, explained that quantum, HPC and AI are not rivals locked in a zero-sum game for technological dominance. “It’s really about bringing together these three powerful technologies — CPUs, GPUs and now quantum processors, or QPUs — to solve problems that couldn’t be tackled before,” Vellante said. One remaining barrier is that the industry is mired in the “Stone Age” when it comes to developing software for quantum computing, according to Gillin. He stressed the need for a “Python for quantum” that would simplify and democratize developer access to quantum systems. “Until that can be made more broadly available — until more people have access to quantum technology — it’s going to continue to be kind of a lab project,” Gillin said. At the recent HPE World Quantum Day event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio, Gillin and Vellante spoke with industry experts from Oak Ridge National Lab, Argonne National Laboratory and more about how quantum computing, HPC and AI are beginning to converge — not as competing technologies, but as complementary layers shaping the next phase of enterprise innovation. (* Disclosure below.) Here’s the analysis segment with Gillin and Vellante, part of SiliconANGLE’s and theCUBE’s coverage of the HPE World Quantum Day event: Here are three key insights you may have