Demonstration of logical qubits and repeated error correction with better-than-physical error rates

Autor: Paetznick, A., da Silva, M. P., Ryan-Anderson, C., Bello-Rivas, J. M., Campora III, J. P., Chernoguzov, A., Dreiling, J. M., Foltz, C., Frachon, F., Gaebler, J. P., Gatterman, T. M., Grans-Samuelsson, L., Gresh, D., Hayes, D., Hewitt, N., Holliman, C., Horst, C. V., Johansen, J., Lucchetti, D., Matsuoka, Y., Mills, M., Moses, S. A., Neyenhuis, B., Paz, A., Pino, J., Siegfried, P., Sundaram, A., Tom, D., Wernli, S. J., Zanner, M., Stutz, R. P., Svore, K. M.

The promise of quantum computers hinges on the ability to scale to large system sizes, e.g., to run quantum computations consisting of more than 100 million operations fault-tolerantly. This in turn requires suppressing errors to levels inversely pro

Externí odkaz: http://arxiv.org/abs/2404.02280

Realization of real-time fault-tolerant quantum error correction

Autor: Ryan-Anderson, C., Bohnet, J. G., Lee, K., Gresh, D., Hankin, A., Gaebler, J. P., Francois, D., Chernoguzov, A., Lucchetti, D., Brown, N. C., Gatterman, T. M., Halit, S. K., Gilmore, K., Gerber, J., Neyenhuis, B., Hayes, D., Stutz, R. P.

Correcting errors in real time is essential for reliable large-scale quantum computations. Realizing this high-level function requires a system capable of several low-level primitives, including single-qubit and two-qubit operations, mid-circuit meas

Externí odkaz: http://arxiv.org/abs/2107.07505

Evidence of scaling advantage for the quantum approximate optimization algorithm on a classically intractable problem.

Autor: Shaydulin R; Global Technology Applied Research, JPMorgan Chase, New York, NY 10017, USA., Li C; Global Technology Applied Research, JPMorgan Chase, New York, NY 10017, USA., Chakrabarti S; Global Technology Applied Research, JPMorgan Chase, New York, NY 10017, USA., DeCross M; Quantinuum, Broomfield, CO 80021, USA., Herman D; Global Technology Applied Research, JPMorgan Chase, New York, NY 10017, USA., Kumar N; Global Technology Applied Research, JPMorgan Chase, New York, NY 10017, USA., Larson J; Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL 60439, USA., Lykov D; Global Technology Applied Research, JPMorgan Chase, New York, NY 10017, USA.; Computational Science Division, Argonne National Laboratory, Lemont, IL 60439, USA., Minssen P; Global Technology Applied Research, JPMorgan Chase, New York, NY 10017, USA., Sun Y; Global Technology Applied Research, JPMorgan Chase, New York, NY 10017, USA., Alexeev Y; Computational Science Division, Argonne National Laboratory, Lemont, IL 60439, USA., Dreiling JM; Quantinuum, Broomfield, CO 80021, USA., Gaebler JP; Quantinuum, Broomfield, CO 80021, USA., Gatterman TM; Quantinuum, Broomfield, CO 80021, USA., Gerber JA; Quantinuum, Broomfield, CO 80021, USA., Gilmore K; Quantinuum, Broomfield, CO 80021, USA., Gresh D; Quantinuum, Broomfield, CO 80021, USA., Hewitt N; Quantinuum, Broomfield, CO 80021, USA., Horst CV; Quantinuum, Broomfield, CO 80021, USA., Hu S; Global Technology Applied Research, JPMorgan Chase, New York, NY 10017, USA., Johansen J; Quantinuum, Broomfield, CO 80021, USA., Matheny M; Quantinuum, Broomfield, CO 80021, USA., Mengle T; Quantinuum, Broomfield, CO 80021, USA., Mills M; Quantinuum, Broomfield, CO 80021, USA., Moses SA; Quantinuum, Broomfield, CO 80021, USA., Neyenhuis B; Quantinuum, Broomfield, CO 80021, USA., Siegfried P; Quantinuum, Broomfield, CO 80021, USA., Yalovetzky R; Global Technology Applied Research, JPMorgan Chase, New York, NY 10017, USA., Pistoia M; Global Technology Applied Research, JPMorgan Chase, New York, NY 10017, USA.

Publikováno v: Science advances [Sci Adv] 2024 May 31; Vol. 10 (22), pp. eadm6761. Date of Electronic Publication: 2024 May 29.

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