RPI has licensed Alorithmiq's Tensor-Network Error Mitigation (TEM) Qiskit function for use with our dedicated IBM Quantum System One and Premium IBM Quantum Cloud account.  An onboarding session is scheduled for Wednesday March 11th, 9:30 AM in CII 3206.

Tensor-Network Error Mitigation (TEM) is a novel error mitigation method based on post-processing with tensor networks. It provides estimators with the lowest possible shot overhead on quantum hardware, to help minimize runtime cost.

See:  Tensor-network error mitigation (TEM) - A Qiskit Function by Algorithmiq | IBM Quantum Documentation for information on the Qiskit Function.

In the onboarding call, Francesca Pietracaprima of Algorithmiq will introduce you to the function in more detail, walk through key capabilities, and discuss how it can best support your use cases.

You are welcome to attend in CII 3206 or via Teams.