Stefano Mensa, Emre Sahin, et al.
Machine Learning: Science and Tech.
We improve the quality of quantum circuits on superconducting quantum computing systems, as measured by the quantum volume (QV), with a combination of dynamical decoupling, compiler optimizations, shorter two-qubit gates, and excited state promoted readout. This result shows that the path to larger QV systems requires the simultaneous increase of coherence, control gate fidelities, measurement fidelities, and smarter software which takes into account hardware details, thereby demonstrating the need to continue to co-design the software and hardware stack for the foreseeable future.
Stefano Mensa, Emre Sahin, et al.
Machine Learning: Science and Tech.
Nathalie P. de Leon, Kohei M. Itoh, et al.
Science
Ivan Nekrashevich, Geev Nahal, et al.
APS March Meeting 2024
Sarah Sheldon
QIP 2021