Mitigating crosstalk errors for simultaneous single-qubit gates on a superconducting quantum processor

  1. Jaap J. Wesdorp,
  2. Eric Hyyppä,
  3. Joona Andersson,
  4. Janos Adam,
  5. Rohit Beriwal,
  6. Ville Bergholm,
  7. Saga Dahl,
  8. Simone Diego Fasciati,
  9. Alejandro Gomez Friero,
  10. Zheming Gao,
  11. Daria Gusenkova,
  12. Andrew Guthrie,
  13. Johannes Heinsoo,
  14. Tuukka Hiltunen,
  15. Keiran Holland,
  16. Amin Hosseinkhani,
  17. Sinan Inel,
  18. Joni Ikonen,
  19. Shan W. Jolin,
  20. Kristinn Juliusson,
  21. Seung-Goo Kim,
  22. Anton Komlev,
  23. Roope Kokkoniemi,
  24. Otto Koskinen,
  25. Joonas Kylmälä,
  26. Alessandro Landra,
  27. Julia Lamprich,
  28. Magdalena Lehmuskoski,
  29. Nizar Lethif,
  30. Per Liebermann,
  31. Tianyi Li,
  32. Aleksi Lintunen,
  33. Fabian Marxer,
  34. Kunal Mitra,
  35. Jakub Mrożek,
  36. Lucas Ortega,
  37. Miha Papič,
  38. Matti Partanen,
  39. Alexander Plyushch,
  40. Stefan Pogorzalek,
  41. Michael Renger,
  42. Jussi Ritvas,
  43. Sampo Saarinen,
  44. Indrajeet Sagar,
  45. Matthew Sarsby,
  46. Mykhailo Savytskyi,
  47. Ville Selinmaa,
  48. Ivan Takmakov,
  49. Brian Tarasinski,
  50. Francesca Tosto,
  51. David Vasey,
  52. Panu Vesanen,
  53. Jeroen Verjauw,
  54. Alpo Välimaa,
  55. Nicola Wurz,
  56. Hsiang-Sheng Ku,
  57. Frank Deppe,
  58. Juha Hassel,
  59. Caspar Ockeloen-Korppi,
  60. Wei Liu,
  61. Jani Tuorila,
  62. Chun Fai Chan,
  63. Attila Geresdi,
  64. and Antti Vepsäläinen
Single-qubit gates on superconducting quantum processors are typically implemented using microwave pulses applied through dedicated control lines. However, these microwave pulses may
also drive other qubits due to crosstalk arising from capacitive coupling and wavefunction overlap in systems with closely spaced transition frequencies. Crosstalk and frequency crowding increase errors during simultaneous single-qubit operations relative to isolated gates, thus forming a major bottleneck for scaling superconducting quantum processors. In this work, we combine model-based qubit frequency optimization with pulse shaping to demonstrate crosstalk error mitigation in single-qubit gates on a 49-qubit superconducting quantum processor. We introduce and experimentally verify an analytical model of simultaneous single-qubit gate error caused by microwave crosstalk that depends on a given pulse shape. By employing a model-based optimization strategy of qubit frequencies, we minimize the crosstalk-induced error across the processor and achieve a mean simultaneous single-qubit gate fidelity of 99.96% for a 16-ns gate duration, approaching the mean individual gate fidelity. To further reduce the simultaneous error and required qubit frequency bandwidth on high-crosstalk qubit pairs, we introduce a crosstalk transition suppression (CTS) pulse shaping technique that minimizes the spectral energy around transitions inducing leakage and crosstalk errors. Finally, we combine CTS with model-based frequency optimization across the device and experimentally show a systematic reduction in the required qubit frequency bandwidth for high-fidelity simultaneous gates, supported by simulations of systems with up to 1000 qubits. By alleviating constraints on qubit frequency bandwidth for parallel single-qubit operations, this work represents an important step for scaling towards larger quantum processors.

A Superconducting Qubit-Resonator Quantum Processor with Effective All-to-All Connectivity

  1. Michael Renger,
  2. Jeroen Verjauw,
  3. Nicola Wurz,
  4. Amin Hosseinkhani,
  5. Caspar Ockeloen-Korppi,
  6. Wei Liu,
  7. Aniket Rath,
  8. Manish J. Thapa,
  9. Florian Vigneau,
  10. Elisabeth Wybo,
  11. Ville Bergholm,
  12. Chun Fai Chan,
  13. Bálint Csatári,
  14. Saga Dahl,
  15. Rakhim Davletkaliyev,
  16. Rakshyakar Giri,
  17. Daria Gusenkova,
  18. Hermanni Heimonen,
  19. Tuukka Hiltunen,
  20. Hao Hsu,
  21. Eric Hyyppä,
  22. Joni Ikonen,
  23. Tyler Jones,
  24. Shabeeb Khalid,
  25. Seung-Goo Kim,
  26. Miikka Koistinen,
  27. Anton Komlev,
  28. Janne Kotilahti,
  29. Vladimir Kukushkin,
  30. Julia Lamprich,
  31. Alessandro Landra,
  32. Lan-Hsuan Lee,
  33. Tianyi Li,
  34. Per Liebermann,
  35. Sourav Majumder,
  36. Janne Mäntylä,
  37. Fabian Marxer,
  38. Arianne Meijer - van de Griend,
  39. Vladimir Milchakov,
  40. Jakub Mrożek,
  41. Jayshankar Nath,
  42. Tuure Orell,
  43. Miha Papič,
  44. Matti Partanen,
  45. Alexander Plyushch,
  46. Stefan Pogorzalek,
  47. Jussi Ritvas,
  48. Pedro Figuero Romero,
  49. Ville Sampo,
  50. Marko Seppälä,
  51. Ville Selinmaa,
  52. Linus Sundström,
  53. Ivan Takmakov,
  54. Brian Tarasinski,
  55. Jani Tuorila,
  56. Olli Tyrkkö,
  57. Alpo Välimaa,
  58. Jaap Wesdorp,
  59. Ping Yang,
  60. Liuqi Yu,
  61. Johannes Heinsoo,
  62. Antti Vepsäläinen,
  63. William Kindel,
  64. Hsiang-Sheng Ku,
  65. and Frank Deppe
In this work we introduce a superconducting quantum processor architecture that uses a transmission-line resonator to implement effective all-to-all connectivity between six transmon
qubits. This architecture can be used as a test-bed for algorithms that benefit from high connectivity. We show that the central resonator can be used as a computational element, which offers the flexibility to encode a qubit for quantum computation or to utilize its bosonic modes which further enables quantum simulation of bosonic systems. To operate the quantum processing unit (QPU), we develop and benchmark the qubit-resonator conditional Z gate and the qubit-resonator MOVE operation. The latter allows for transferring a quantum state between one of the peripheral qubits and the computational resonator. We benchmark the QPU performance and achieve a genuinely multi-qubit entangled Greenberger-Horne-Zeilinger (GHZ) state over all six qubits with a readout-error mitigated fidelity of 0.86.