At Opacity we are focused on physics, not fidelities, and we see this as the way to close the loop between quantum hardware and applications.
We bring a new approach based on learning a device Hamiltonian. Quiver provides a complete analogue characterisation of the noise in a device including unwanted inter-qubit interactions. We use state-of-the-art statistical learning that is efficient and scalable, both experimentally and computationally. This enables noise mitigation at the software level and informs future iterations of hardware design.
At every level of the stack we are engineering Hamiltonians. Our approach provides what’s needed to characterise and mitigate errors, not only at the qubit level but across firmware, circuits and near-term algorithms.
At Opacity we are focused on physics, not fidelities