We will explain most recent breakthroughs such as the first error-corrected quantum memories and fault-tolerant quantum gates, and discuss current challenges towards developing large-scale error-corrected quantum computers. We will then take you on a tour to the research frontier of real-world quantum computing and error correction based on superconducting and trapped-ion quantum computers. You will then learn and familiarise yourself with some fundamental concepts that allow one to protect quantum computers from noise: here, you will identify errors in a quantum computer yourself, design basic quantum circuits and study how errors propagate through them. In this interactive seminar, we will first provide you with an introduction to quantum computation and its applications. At the same time, existing quantum devices are also notoriously susceptible to noise. Thus, the need for quantum error-correction. Quantum computers hold the promise to speed up the solution of some of the most challenging computational problems, such as simulating the physics of many-body systems or factoring large numbers. Quantum mechanics allows for the storage of data on quantum particles which are also susceptible to corruption. Sometime in the 1980s, Bennett came around to Bell Labs to present BB84. The BB84 algorithm was the first protocol for a crypto system that relied entirely on the weird phenomena of quantum physics. Markus Müller (Theoretical Quantum Technology Group, RWTH Aachen and Forschungszentrum Jülich) - `Ĭorrecting Errors in Quantum Computers - from Fundamental Concepts to the Research Frontier Qiskit Seminar Series with Kenneth BrownQuantum Error Correction and Machine NoiseYour formal invite to weekly Qiskit videos. To protect against errors that might appear in these prepared states, the control electronics use trial and error to construct them until they pass tests based. Shor is also responsible for the theoretical result that put quantum computing on the map, an algorithm that would enable a quantum computer to factor large numbers exponentially faster than a conventional computer can. Bennett worked out the idea with Gilles Brassard in 1984. Nathan Lacroix (Quantum Devices Lab, ETH Zurich).
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