Columbia Engineering researchers have developed HyperQ, the first system to enable multiple users to run quantum programs simultaneously on a single machine using quantum virtual machines (qVMs). By dynamically allocating quantum resources and intelligently scheduling jobs, HyperQ analyzes each program’s needs and steers them to the best parts of the quantum chip, so multiple tasks can run at once without slowing each other down. HyperQ is a software layer, a hypervisor, inspired by the virtualization technology that powers modern cloud computing. It divides a physical quantum computer’s hardware into multiple, smaller, isolated quantum virtual machines. A scheduler then acts like a master Tetris player, packing multiple of these qVMs together to run simultaneously on different parts of the machine. The system reduced average user wait times by up to 40 times, transforming turnaround times from days to mere hours. It also enabled up to a tenfold increase in the number of quantum programs executed in the same time frame, ensuring much higher utilization of expensive quantum hardware. Remarkably, HyperQ’s intelligent scheduling could even enhance computational accuracy by steering sensitive workloads away from the noisiest regions of the quantum chip. For quantum cloud providers such as IBM, Google, and Amazon, the technology offers a powerful way to serve more users with existing hardware infrastructure, increasing both capacity and cost-effectiveness. For academic researchers and industry researchers, HyperQ means much faster access to quantum computing resources.