![]() ![]() of Melbourne and Data61/CSIRO (virtual) Title: Machine-learning-based fast and autonomous decoder for scalable surface codesġ3:00-13:23 Speaker: Luka Skoric, Riverlane Title: No maximum latency requirement for decoding quantum error correction syndromes.ġ3:23-13:45 Speaker: Swamit Tannu, Univ. Target audience: Researchers and experts from the quantum error correction, quantum computation, computer science, classical architectures and digital design communities, both from academia and industry.ġ0:00-10:15 Speaker: Francesco Battistel, Qblox Title: Introduction to the workshop and overview of real-time decoding.ġ0:15-10:40 Speaker: Christopher Chamberland, Amazon (virtual) Title: Techniques for combining fast local decoders with global decoders under circuit-level noise.ġ0:40-11:05 Speaker: Natalie Brown, Quantinuum Title: Wasm + QASM: Assembling real-time decoding.ġ1:05-11:30 Speaker: Muhammad Usman, Univ. Keywords: Real-Time Decoding, Decoding, Quantum Error Correction, Computing Architectures, Computer Science, Fault-Tolerant Quantum Computing The market-readiness of real-time decoding will also be discussed to shed light on a possible future roadmap for the broader quantum-technology industry. #QUANTUM ERROR CORRECTION COURSE U OF A SOFTWARE#The topics of the workshop cover a variety of decoding algorithms, decoding architectures and hardware, as well as co-design strategies for software and hardware. Challenges and advantages of different approaches will be discussed within both a quantum track and a classical-architecture track. This workshop aims to create a comprehensive discussion on the subject of real-time decoding and pool ideas for directions in the near and long term. It is of great importance to find the right combination of these key elements to build a practically-useful decoding architecture. Since the speed and scalability of the decoder are as critical as its accuracy, real-time decoding manifests itself as a multi-layer challenge: an efficient decoding algorithm must be implemented with the appropriate software layer, which must be executed on fast classical hardware. ![]() While previous research has primarily focused on the accuracy and threshold of a decoder, its real-time implementation is still understudied. However, the efficacy of a code, such as the surface code, is underpinned by the decoder, which can detect errors and suggest appropriate corrections. #QUANTUM ERROR CORRECTION COURSE U OF A CODE#The quantum error correcting code forms the core to realize fault tolerance. The book is intended for senior undergraduate and graduate students in Electrical Engineering and Mathematics with an understanding of the basic concepts of linear algebra and quantum mechanics.Fault-tolerant quantum computation stands as a turning point for reaching quantum advantage. This book provides basic geometric concepts, like surface geometry, hyperbolic geometry and tessellation, as well as basic algebraic concepts, like stabilizer formalism, for the construction of the most promising classes of quantum error-correcting codes such as surfaces codes and color codes. ![]() A second approach is based on color codes, which are topological stabilizer codes defined on a tessellation with geometrically local stabilizer generators. A significant advantage of surface codes is their relative tolerance to local errors. The surface codes evolved from Kitaev's toric codes, as a means to developing models for topological order by using qubits distributed on the surface of a toroid. One possible approach to building a quantum computer is based on surface codes, operated as stabilizer codes. It combines key concepts in linear algebra, algebraic topology, hyperbolic geometry, group theory, quantum mechanics, and classical and quantum coding theory to help readers understand and develop quantum codes for topological quantum computation. This book offers a structured algebraic and geometric approach to the classification and construction of quantum codes for topological quantum computation. ![]()
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