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…
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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… |
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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… |
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