Digital quantum simulation of fermionic models with a superconducting circuit

  1. R. Barends,
  2. L. Lamata,
  3. J. Kelly,
  4. L. García-Álvarez,
  5. A. G. Fowler,
  6. A. Megrant,
  7. E. Jeffrey,
  8. T. C. White,
  9. D. Sank,
  10. J. Y. Mutus,
  11. B. Campbell,
  12. Yu Chen,
  13. Z. Chen,
  14. B. Chiaro,
  15. A. Dunsworth,
  16. I.-C. Hoi,
  17. C. Neill,
  18. P. J. J. O'Malley,
  19. C. Quintana,
  20. P. Roushan,
  21. A. Vainsencher,
  22. J. Wenner,
  23. E. Solano,
  24. and John M. Martinis
Simulating quantum physics with a device which itself is quantum mechanical, a notion Richard Feynman originated, would be an unparallelled computational resource. However, the universal

State preservation by repetitive error detection in a superconducting quantum circuit

  1. J. Kelly,
  2. R. Barends,
  3. A. G. Fowler,
  4. A. Megrant,
  5. E. Jeffrey,
  6. T. C. White,
  7. D. Sank,
  8. J. Y. Mutus,
  9. B. Campbell,
  10. Yu Chen,
  11. Z. Chen,
  12. B. Chiaro,
  13. A. Dunsworth,
  14. I.-C. Hoi,
  15. C. Neill,
  16. P. J. J. O'Malley,
  17. C. Quintana,
  18. P. Roushan,
  19. A. Vainsencher,
  20. J. Wenner,
  21. A. N. Cleland,
  22. and John M. Martinis
Quantum computing becomes viable when a quantum state can be preserved from environmentally-induced error. If quantum bits (qubits) are sufficiently reliable, errors are sparse and

Characterization and reduction of microfabrication-induced decoherence in superconducting quantum circuits

  1. C. M. Quintana,
  2. A. Megrant,
  3. Z. Chen,
  4. A. Dunsworth,
  5. B. Chiaro,
  6. R. Barends,
  7. B. Campbell,
  8. Yu Chen,
  9. I.-C. Hoi,
  10. E. Jeffrey,
  11. J. Kelly,
  12. J. Y. Mutus,
  13. P. J. J. O'Malley,
  14. C. Neill,
  15. P. Roushan,
  16. D. Sank,
  17. A. Vainsencher,
  18. J. Wenner,
  19. T. C. White,
  20. A. N. Cleland,
  21. and John M. Martinis
Many superconducting qubits are highly sensitive to dielectric loss, making the fabrication of coherent quantum circuits challenging. To elucidate this issue, we characterize the interfaces

Simulating weak localization using superconducting quantum circuits

  1. Yu Chen,
  2. P. Roushan,
  3. D. Sank,
  4. C. Neill,
  5. Erik Lucero,
  6. Matteo Mariantoni,
  7. R. Barends,
  8. B. Chiaro,
  9. J. Kelly,
  10. A. Megrant,
  11. J. Y. Mutus,
  12. P. J. J. O'Malley,
  13. A. Vainsencher,
  14. J. Wenner,
  15. T. C. White,
  16. Yi Yin,
  17. A. N. Cleland,
  18. and John M. Martinis
Understanding complex quantum matter presents a central challenge in condensed matter physics. The difficulty lies in the exponential scaling of the Hilbert space with the system size,

Optimal quantum control using randomized benchmarking

  1. J. Kelly,
  2. R. Barends,
  3. B. Campbell,
  4. Y. Chen,
  5. Z. Chen,
  6. B. Chiaro,
  7. A. Dunsworth,
  8. A. G. Fowler,
  9. I.-C. Hoi,
  10. E. Jeffrey,
  11. A. Megrant,
  12. J. Mutus,
  13. C. Neill,
  14. P. J. J. O'Malley,
  15. C. Quintana,
  16. P. Roushan,
  17. D. Sank,
  18. A. Vainsencher,
  19. J. Wenner,
  20. T. C. White,
  21. A. N. Cleland,
  22. and John M. Martinis
We present a method for optimizing quantum control in experimental systems, using a subset of randomized benchmarking measurements to rapidly infer error. This is demonstrated to improve

Qubit architecture with high coherence and fast tunable coupling

  1. Yu Chen,
  2. C. Neill,
  3. P. Roushan,
  4. N. Leung,
  5. M. Fang,
  6. R. Barends,
  7. J. Kelly,
  8. B. Campbell,
  9. Z. Chen,
  10. B. Chiaro,
  11. A. Dunsworth,
  12. E. Jeffrey,
  13. A. Megrant,
  14. J. Y. Mutus,
  15. P. J. J. O'Malley,
  16. C. M. Quintana,
  17. D. Sank,
  18. A. Vainsencher,
  19. J. Wenner,
  20. T. C. White,
  21. Michael R. Geller,
  22. A. N. Cleland,
  23. and John M. Martinis
We introduce a superconducting qubit architecture that combines high-coherence qubits and tunable qubit-qubit coupling. With the ability to set the coupling to zero, we demonstrate

Fast Scalable State Measurement with Superconducting Qubits

  1. Daniel Sank,
  2. Evan Jeffrey,
  3. J. Y. Mutus,
  4. T. C. White,
  5. J. Kelly,
  6. R. Barends,
  7. Y. Chen,
  8. Z. Chen,
  9. B. Chiaro,
  10. A. Dunsworth,
  11. A. Megrant,
  12. P. J. J. O'Malley,
  13. C. Neill,
  14. P. Roushan,
  15. A. Vainsencher,
  16. J. Wenner,
  17. A. N. Cleland,
  18. and J.M. Martinis
Progress in superconducting qubit experiments with greater numbers of qubits or advanced techniques such as feedback requires faster and more accurate state measurement. We have designed

Catching Shaped Microwave Photons with 99.4% Absorption Efficiency

  1. J. Wenner,
  2. Yi Yin,
  3. Yu Chen,
  4. R. Barends,
  5. B. Chiaro,
  6. E. Jeffrey,
  7. J. Kelly,
  8. A. Megrant,
  9. J. Y. Mutus,
  10. C. Neill,
  11. P. J. J. O'Malley,
  12. P. Roushan,
  13. D. Sank,
  14. A. Vainsencher,
  15. T. C. White,
  16. Alexander N. Korotkov,
  17. A. N. Cleland,
  18. and John M. Martinis
Quantum information systems require high fidelity quantum operations. It is particularly challenging to convert flying qubits to stationary qubits for deterministic quantum networks,

Excitation of superconducting qubits from hot non-equilibrium quasiparticles

  1. J. Wenner,
  2. Yi Yin,
  3. Erik Lucero,
  4. R. Barends,
  5. Yu Chen,
  6. B. Chiaro,
  7. J. Kelly,
  8. M. Lenander,
  9. Matteo Mariantoni,
  10. A. Megrant,
  11. C. Neill,
  12. P. J. J. O'Malley,
  13. D. Sank,
  14. A. Vainsencher,
  15. H. Wang,
  16. T. C. White,
  17. A. N. Cleland,
  18. and John M. Martinis
Superconducting qubits probe environmental defects such as non-equilibrium quasiparticles, an important source of decoherence. We show that „hot“ non-equilibrium quasiparticles,

Controlled catch and release of microwave photon states

  1. Yi Yin,
  2. Yu Chen,
  3. Daniel Sank,
  4. P. J. J. O'Malley,
  5. T. C. White,
  6. R. Barends,
  7. J. Kelly,
  8. Erik Lucero,
  9. Matteo Mariantoni,
  10. A. Megrant,
  11. C. Neill,
  12. A. Vainsencher,
  13. J. Wenner,
  14. Alexander N. Korotkov,
  15. A. N. Cleland,
  16. and John M. Martinis