Superstaq: Deep Optimization of Quantum Programs

TL;DR

Superstaq is a quantum software platform that significantly enhances program execution efficiency by deeply optimizing quantum programs for various hardware platforms, achieving at least 10x performance improvements.

Contribution

It introduces a deep optimization approach tailored to hardware primitives, improving quantum program performance across multiple hardware platforms.

Findings

At least 10x performance improvement over state-of-the-art compilers.

Effective across superconducting, trapped ion, and neutral atom platforms.

Enables new capabilities through hardware-aware quantum program optimization.

Abstract

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.