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 assemble top-tier open source applications tailored for data scientists in need of sophisticated analytical tools, as well as for professionals in quantum computing and computational mathematics who wish to engage with key quantum computing frameworks. This image integrates well-known machine learning libraries like PyTorch and TensorFlow alongside open source tools from D-Wave, Rigetti, and platforms like IBM Quantum Experience and Google’s innovative quantum language Cirq, in addition to other leading quantum computing frameworks. For example, it features our quantum fog modeling framework and the versatile quantum compiler Qubiter, which supports cross-compilation across all significant architectures. Users can conveniently access all software through the Jupyter WebUI, which features a modular design that enables coding in Python, R, and Octave, enhancing flexibility in project development. Moreover, this comprehensive environment empowers researchers and developers to seamlessly blend classical and quantum computing techniques in their workflows.