Superstaq: Deep Optimization of Quantum Programs
We describe Superstaq, a quantum software platform that optimizes the
execution of quantum programs by tailoring to underlying hardware primitives.
For benchmarks such as the Bernstein-Vazirani algorithm and the Qubit Coupled
Cluster chemistry method, we find that deep optimization can improve program
execution performance by at least 10x compared to prevailing state-of-the-art
compilers. To highlight the versatility of our approach, we present results
from several hardware platforms: superconducting qubits (AQT @ LBNL, IBM
Quantum, Rigetti), trapped ions (QSCOUT), and neutral atoms (Infleqtion).
Across all platforms, we demonstrate new levels of performance and new
capabilities that are enabled by deeper integration between quantum programs
and the device physics of hardware.
Colin Campbell Frederic T. Chong Denny Dahl Paige Frederick Palash Goiporia Pranav Gokhale Benjamin Hall Salahedeen Issa Eric Jones Stephanie Lee Andrew Litteken Victory Omole David Owusu-Antwi Michael A. Perlin Rich Rines Kaitlin N. Smith Noah Goss Akel Hashim Ravi Naik Ed Younis Daniel Lobser Christopher G. Yale Benchen Huang Ji Liu