“We actively investigate various quantum algorithms including optimization, simulation and quantum machine learning. Our experts create hardware-efficient algorithms including error-mitigation techniques which allows us to get the best performance out of our NISQ hardware.”
“Together with our HPC customers, we have tested different deployment architectures to maximize the performance of the hybrid classical-quantum systems. We developed a concept of a specialized system-wide resource manager to focus specifically on the quantum workloads and their complexities.”
“With our latest benchmarks measured on the 20-qubit quantum computer, we have demonstrated a median two-qubit (CZ) gate fidelity of 99.51% across 30 qubit pairs, with maximum fidelity over a single pair reaching as high as 99.8%.”
“An on-premises quantum computer allows users to have physical access to the hardware and all layers of the quantum computing stack. They will learn how calibration affects the measurement outcomes, benchmarking the gate operations, and characterising decoherence, which is one of the main obstacles against a scalable quantum computer.”
“An on-premises quantum computer is crucial to get practical experience with a current stage of technology development, called NISQ (Noisy Intermediate Scale Quantum) computers. Before a full-fledged quantum computer with built-in error correction becomes available, students and researchers must master various techniques to work with a real-life quantum system.”
“The product allows users to add their own software and hardware modules for experimentation purposes. This opens vast opportunities to study quantum components and use the machine as a testbed system in electronics and cryogenics industries.”
“Among many physical platforms, superconducting quantum hardware is well-suited for scaling the number of qubits and improving their fidelity while maintaining connectivity and thus becomes a preferred technology in the NISQ (Noisy Intermediate Scale Quantum) era with roadmaps towards fault tolerance.”