{"id":165719,"date":"2018-11-06T17:21:51","date_gmt":"2018-11-07T01:21:51","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/asymptotically-optimal-topological-quantum-compiling\/"},"modified":"2018-11-06T17:21:51","modified_gmt":"2018-11-07T01:21:51","slug":"asymptotically-optimal-topological-quantum-compiling","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/asymptotically-optimal-topological-quantum-compiling\/","title":{"rendered":"Asymptotically Optimal Topological Quantum Compiling"},"content":{"rendered":"
We address the problem of compiling quantum operations into braid representations for non-Abelian quasiparticles described by the Fibonacci anyon model. We classify the single-qubit unitaries that can be represented exactly by Fibonacci anyon braids and use the classification to develop a probabilistically polynomial algorithm that approximates any given single-qubit unitary to a desired precision by an asymptotically depth-optimal braid pattern. We extend our algorithm in two directions: to produce braids that allow only single-strand movement, called weaves, and to produce depth-optimal approximations of two-qubit gates. Our compiled braid patterns have depths that are 20 to 1000 times shorter than those output by prior state-of-the-art methods, for precisions ranging between 1<\/span>0<\/span><\/span>\u2212<\/span>10<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> and 1<\/span>0<\/span>\u2212<\/span>30<\/span><\/span><\/span><\/span><\/span><\/span><\/span>.<\/p>\n<\/div>\n <\/p>\n","protected":false},"excerpt":{"rendered":" We address the problem of compiling quantum operations into braid representations for non-Abelian quasiparticles described by the Fibonacci anyon model. We classify the single-qubit unitaries that can be represented exactly by Fibonacci anyon braids and use the classification to develop a probabilistically polynomial algorithm that approximates any given single-qubit unitary to a desired precision by 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