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Making Peace with Noise: Quantum Error Correction That Fits on a Chip Abstract. Noise presents a significant challenge to quantum computing hardware, limiting the complexity of problems that can be tackled beyond just a few qubits. Quantum error correction (QEC) offers a theoretical framework that guarantees reliable quantum computation in the presence of noise. In this talk, I will focus on a popular class of QEC codes called surface codes, where quantum information is encoded in an entangled state of many physical qubits arranged on a two-dimensional lattice. I will give an introductory overview of QEC, explaining how errors are detected and corrected in surface codes. Finally, I will introduce an open-source software tool that enables the design and analysis of surface codes. About. Pavithran (Pavi) is a research scientist at Xanadu Quantum Technologies Inc., a Toronto-based company focused on building quantum computers using photonic hardware. His research interests and contributions broadly lie in the area of quantum error correction and fault tolerance. He received his Ph.D. in 2018 from Université de Sherbrooke, where he worked under the supervision of the late Prof. David Poulin. Following this, he did a postdoc at the Institute for Quantum Computing (IQC) in Canada under Prof. Joseph Emerson. Host. IIIT Hyderabad