IBM Quantum Integrations

Superstaq offers specialized low-level optimizations tailored for devices, allowing users to maximize performance across various qubit types on contemporary hardware. With open-source interfaces like Qiskit and Cirq, users can easily access and submit jobs to top-tier quantum platforms from companies such as IBM, Infleqtion, OQC, and Rigetti, among others. Take advantage of our extensive collection of quantum applications designed to tackle complex problems that would otherwise be deemed "impossible" with classical computing methods. Superstaq’s advanced compilation and noise reduction techniques, including dynamical decoupling, intelligently enhance quantum programs according to the native gate sets of the targeted hardware. Whether using Cirq or Qiskit, Superstaq provides the tools necessary to develop quantum applications that are compatible with nearly any quantum computing system. This flexibility and power make it an essential resource for researchers and developers in the quantum computing field.

Infrastructure software is essential for driving the quantum revolution, as quantum technology holds the potential to revolutionize the economy. By broadening the applications of quantum computers and introducing innovative quantum sensing capabilities through software, we enhance the overall utility of these technologies. Quantum infrastructure software converts basic quantum processors into effective computational resources, unlocking the hidden performance of powerful computers for greater achievements. By integrating automation and performance management into quantum computing platforms, we provide professional-grade toolkits that facilitate the design, automation, and scaling of quantum hardware and controls. This technology not only maximizes the latent performance of hardware in cloud quantum computing environments but also streamlines error reduction and enhances the success of algorithms on remotely accessible quantum systems. With these advancements, users can navigate the complexities of quantum technology with greater efficiency and effectiveness. Ultimately, the combination of automation and sophisticated toolkits paves the way for a more robust quantum computing landscape.

Bayesforge™ is a specialized Linux machine image designed to provide top-tier open source software tailored for data scientists in need of sophisticated analytical tools, alongside those involved in quantum computing and computational mathematics who want to utilize prominent quantum computing frameworks. This image integrates widely used machine learning frameworks like PyTorch and TensorFlow with open source offerings from D-Wave, Rigetti, IBM Quantum Experience, and Google's innovative quantum programming language Cirq, in addition to various advanced quantum computing frameworks. For example, it features our quantum fog modeling framework and the Qubiter quantum compiler, which is capable of cross-compiling to major architectures. Users can easily access all software through the Jupyter WebUI, which boasts a modular design, enabling coding in languages such as Python, R, and Octave, thus providing a versatile environment for a diverse range of scientific and computational tasks. This comprehensive setup not only enhances productivity but also fosters collaboration among practitioners from different domains.