Abstract Standard implementations of quantum error correction in atomic processors devote multiple atoms and many inter-atom gates to each robust qubit.  A co-design strategy to streamline this approach should focus on both tailoring the code to the native hardware errors and reducing the resource cost of the QEC cycle.  Absorption-emission (Æ) codes are designed to…

Abstract Qiskit Functions simplify and accelerate utility-scale algorithm discovery and application development by abstracting away parts of the quantum software development workflow. In this way, Qiskit Functions free up time normally spent hand-writing code and fine-tuning experiments. In this seminar, we will talk about the journey of the IBM Quantum team to release the first…

Abstract The integration of Tensor Networks into quantum computing has unlocked new possibilities, particularly for efficiently loading complex datasets onto quantum systems. In this talk, we examine the tensor-train cross approximation (TT-cross) algorithm as an effective solution to the probability loading challenge in Quantum Monte Carlo (QMC). By applying TT-cross to high-dimensional financial distributions, we…