*National Science Foundation (NSF) Award No. The protocols, which are quantum error correcting codes for dissipative systems, are based on environment measurements, direct feedback control and simple. Notably, our tailored error correction allows for a threshold of over 25% using simple resource states, overcoming a key barrier for photonic quantum computing. In the second part, I’ll show how a cluster state derived from the XZZX surface code, the so-called XZZX cluster state, can be tailored to correct probabilistic gate failures in dual-rail linear optics. I’ll explain how to efficiently implement gates and distill magic states in the presence of dephasing noise, and derive estimates for the improved overhead offered by the XZZX surface code. The need for understanding the limits of covariant quantum error correction arises in various realms of physics including fault-tolerant quantum computation. QUANTUM ERROR CORRECTION SEMINAR QUANTUM. In a quantum error correction protocol, we usually talk about. In the first part of the talk, I’ll present a blueprint for building the XZZX surface code out of Kerr cat qubits, which predominantly suffer from dephasing errors. The development of quantum error correcting codes is necessary for building quantum computers. Luckily, Jacob Bridgeman will prove an excellent. In this talk, I’ll present two examples of recent work in tailoring quantum error correction, both based on the recently introduced XZZX surface code. As the subject of quantum error correction is vast and constantly expanding, it is quite easy to get lost. ![]() Learn more about upcoming iQuISE seminars. One promising approach to reducing the overheads of error correction is to tailor quantum error correcting codes to the dominant noise in the qubit hardware. MITs Interdisciplinary Quantum Information Science and Engineering (iQuISE) program is a student-led organization of graduate students and postdocs with research interests in experimental and theoretical quantum information science, computation, and communication. However, the hardware overhead for error correction remains dauntingly large, with each logical qubit potentially requiring thousands of physical qubits for reliable operation. Large-scaling quantum computers will require error correction in order to reliably perform computations.
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