As quantum computing continues to develop, quantum-inspired algorithms are emerging as powerful tools that leverage quantum principles on classical hardware to solve complex optimization problems. Universities are uniquely positioned to support research in this area by enabling access to compute resources tailored to the specific demands of quantum-inspired techniques. This session explores the strategies, challenges, advantages and best practices in supporting quantum-inspired optimization workloads on a university compute cluster. We will discuss software frameworks (such as pyqubo, Matlab tools, D-Wave's Ocean tools and NEC's Vector Annealing software) and specialized hardware considerations. The session will also highlight case studies from active research projects.
Tmux (“terminal multiplexor”) is a Linux tool with two useful functions: 1) a user may run several terminal windows within a single Tmux session, and 2) the Tmux session can be run in the background. The latter functionality is particularly useful on remote computing systems (e.g., supercomputers) that require user access via ssh, because users may “reattach” to their Tmux session each time they login, minimizing loss of work between logins. This presentation will provide an overview, hands-on exercises, and a discussion of useful tools and best practices to streamline use of Tmux. To follow along with the hands-on exercises, register for a Research Computing account beforehand.
Quantum computers (QC) can significantly enhance high-performance computing (HPC) as accelerators with unique capabilities for solving challenging chemistry, materials science, and optimization problems. Hybrid HPC+QC system offers unique advantages that neither classical nor quantum simulations can achieve independently. Our collaboration between IQM, a leading quantum hardware company, and a premier HPC center has demonstrated practical integration of quantum and classical resources. We present the details of our technical implementation, including hardware and software requirements, networking, and selection of the appropriate space to house the quantum computer, as well as initial scientific results coming out of that collaboration. We also discuss how QC can be integrated with minimal disruption into HPC workflows and the benefits of on-prem QC.
