Join leaders in Boston on March 27 for an exclusive night of networking, insights, and conversation. Request an invite here. Quantum is set to be the next frontier of computing. But it is an immense undertaking that has yet to be fully realized; researchers continue to face challenges in a multitude of areas — including error correction, scalability, cost and hardware and software complex and capable enough to handle extremely high-performance simulations. To support and accelerate scientific exploration into this next phase of computing , Nvidia today launched Quantum Cloud, which allows users to build and test new quantum apps and algorithms in the cloud. The microservice is based on Nvidia’s open-source CUDA-Q quantum computing platform , which the company says is used by three-quarters of the companies deploying quantum processing units (QPUs). “Quantum computing presents the next revolutionary frontier of computing,” said Tim Costa, Nvidia’s director of HPC and quantum computing. “It’s going to require the world’s most brilliant minds to bring this future one step closer.” The AI Impact Tour – Atlanta The new Nvidia Quantum Cloud is intended to “accelerate scientific exploration,” the company says. Its capabilities include: Nvidia Quantum Cloud intends to “break down the barriers to explore this transformative technology,” said Costa. The goal is to help “every scientist in the world harness the power of quantum computing and bring their ideas closer to reality.” Nvidia says it has 160 partners in quantum computing and many top tech companies and quantum companies are incorporating Quantum Cloud into their services — including
Google Cloud,
Microsoft Azure, Oracle Cloud, IonQ, IQM Quantum Computers, OQC, ORCA Computing, qBraid and Quantinuum. At HSBC , for instance, researchers designed a quantum machine learning (ML) application that can detect digital payment fraud. This simulated a “whopping” 165 qubits on Nvidia GPUs — typically, projects don’t extend beyond 40 of these fundamental calculating units. The researchers were able to overcome challenges with scale thanks to ML techniques implemented with CUDA Quantum and cuTensorNet software on Nvidia GPUs, according to the company. Nvidia is further working with nearly two dozen universities to help train the next generation of computer scientists. This involves designing curricula and teaching materials around CUDA Quantum. The company also recently co-sponsored quantum hackathon QHack, who’s winning team — from Indian company Qkrishi — used CUDA Quantum to develop an algorithm to simulate a material critical to designing better batteries. “Bridging the divide between traditional computers and quantum systems is essential to the future of computing,” Theresa Mayer, VP for research at Carnegie Mellon University, said in a statement. Nvidia’s partnership with her schools and others aims to “help students and researchers navigate and excel in this emerging hybrid environment.” Nvidia’s CUDA Quantum and other systems are being used for a multitude of other quantum efforts, as well, the company reports. These include: VentureBeat's mission is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact. Discover our Briefings.