Automated discovery of logical gates for quantum error correction (pp947-964)
          Hongxiang Chen, Michael Vasmer,
          Nikolas P. Breuckmann, and Edward Grant
Supplementary (153 pages)
          doi: https://doi.org/10.26421/QIC22.11-12-3
Abstracts: Quantum error correcting codes protect quantum computation from errors caused by decoherence and other noise. Here we study the problem of designing logical operations for quantum error correcting codes. We present an automated procedure that generates logical operations given known encoding and correcting procedures. Our technique is to use variational circuits for learning both the logical gates and the physical operations implementing them. This procedure can be implemented on near-term quantum computers via quantum process tomography. It enables automatic discovery of logical gates from analytically designed error correcting codes and can be extended to error correcting codes found by numerical optimization. We test the procedure by simulating small quantum codes of four to fifteen qubits showing that our procedure finds most logical gates known in the current literature. Additionally, it generates logical gates not found in the current literature for the [[5,1,2]] code, the [[6,3,2]] code, the [[8,3,2]] code, and the [[10,1,2]] code.
Key words: Quantum computation, Error correction, Machine learning