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 progr...

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Bibliographic Details
Published inarXiv.org
Main Authors Campbell, Colin, Chong, Frederic T, Dahl, Denny, Paige, Frederick, Goiporia, Palash, Gokhale, Pranav, Hall, Benjamin, Issa, Salahedeen, Jones, Eric, Lee, Stephanie, Litteken, Andrew, Omole, Victory, Owusu-Antwi, David, Perlin, Michael A, Rines, Rich, Smith, Kaitlin N, Goss, Noah, Akel Hashim, Naik, Ravi, Younis, Ed, Lobser, Daniel, Yale, Christopher G, Huang, Benchen, Liu, Ji
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 10.09.2023
Subjects
Algorithms
Hardware
Neutral atoms
Optimization
Platforms
Qubits (quantum computing)
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Summary: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.
ISSN:2331-8422