This will take place next Monday. It should be interesting. Filipa ---------- Forwarded message --------- De: Sarah Li (via zx-calculus Mailing List) Date: sexta, 13/12/2024 à(s) 09:12 Subject: Season Finale - ZX Seminar 12/16 To: zx-calculus@maillist.ox.ac.uk Hi everyone, On Monday, December 16th at 2 pm UK time, Daniel Bochen Tan <https://urldefense.com/v3/__https://scholar.google.com/citations?user=6CORrpcAAAAJ&hl=en__;!!D9dNQwwGXtA!X25ygGE257ExlZ1T6WPfHmBloIoxxGwN9A729LDkONVf9HDW586ZbIQXuG8nusENkzIJ33hruvGaj4GldMEHmWzaObFU0A$ > from Harvard University will talk about "A SAT Scalpel for Lattice Surgery: Representation and Synthesis of Subroutines for Surface-Code Fault-Tolerant Quantum Computing <https://urldefense.com/v3/__https://arxiv.org/pdf/2404.18369__;!!D9dNQwwGXtA... >". More details are below. See you next week! --------------------------- Talk Info ------------------------- *Zoom link: **https://urldefense.com/v3/__https://uva-live.zoom.us/j/84274345430__;!!D9dNQ... <https://urldefense.com/v3/__https://uva-live.zoom.us/j/84274345430__;!!D9dNQ... >* *Time: *9 - 10 am ET = 2 - 3 pm UK = 3 - 4 pm Netherlands *Abstract: *Quantum error correction is necessary for largescale quantum computing. A promising quantum error correcting code is the surface code. For this code, fault-tolerant quantum computing (FTQC) can be performed via lattice surgery, i.e., splitting and merging patches of code. Given the frequent use of certain lattice-surgery subroutines (LaS), it becomes crucial to optimize their design in order to minimize the overall spacetime volume of FTQC. In this study, we define the variables to represent LaS and the constraints on these variables. Leveraging this formulation, we develop a synthesizer for LaS, LaSsynth, that encodes a LaS construction problem into a SAT instance, subsequently querying SAT solvers for a solution. Starting from a baseline design, we can gradually invoke the solver with shrinking spacetime volume to derive more compact designs. Due to our foundational formulation and the use of SAT solvers, LaSsynth can exhaustively explore the design space, yielding optimal designs in volume. For example, it achieves 8% and 18% volume reduction respectively over two states-of-the-art human designs for the 15-to-1 T-factory, a bottleneck in FTQC. *Joint-Work With:* Murphy Yuezhen Niu and Craig Gidney