You are all cordially invited to the AMLab seminar on Tuesday March 20 at 16:00 in C3.163, where Paul Baireuther (Lorentz Institute of Leiden University) will give a talk titled “Quantum Error Correction with Recurrent Neural Networks”. Afterwards there are the usual drinks and snacks!
Abstract: In quantum computation one of the key challenges is to build fault-tolerant logical qubits. A logical qubit consists of several physical qubits. In stabilizer codes, a popular class of quantum error correction schemes, a part of the system of physical qubits is measured repeatedly, without measuring (and collapsing by the Born rule) the state of the encoded logical qubit. These repetitive measurements are called syndrome measurements, and must be interpreted by a classical decoder in order to determine what errors occurred on the underlying physical system. The decoding of these space- and time-correlated syndromes is a highly non-trivial task, and efficient decoding algorithms are known only for a few stabilizer codes. In this talk I will explain how we design and train decoders based on recurrent neural networks.