Distributed Quantum Computing

In collaboration with the U.S. Naval Nuclear Laboratory, this project explored methods for executing large quantum workloads on current NISQ hardware by distributing complex circuits into smaller, executable components. NISQ quantum processors are constrained by limited qubit counts, noise, and circuit depth, which restrict the size of algorithms that can be run reliably.

The project focused on optimizing Variational Quantum Algorithms (VQAs) through distributed quantum computing techniques, including circuit cutting, circuit stitching, mid-circuit measurement and some novel strategies. The WISER team developed a standardized workflow for partitioning quantum circuits while preserving the information flow required for accurate algorithmic outcomes. By systematically dividing deep or wide circuits into manageable segments, the approach reduces effective circuit depth and improves compatibility with near-term quantum devices.

WISER Research Fellows: Connor Wolf Howe, Cristina Radian, Justin Woodring