Optimal Control of a Fluxonium Circuit with the Q-PRONTO Numerical Method

  1. John Barta,
  2. Brian D. Isakov,
  3. Pablo Aramburu Sanchez,
  4. Jieqiu Shao,
  5. Tamás Kalmár,
  6. Trevyn F.Q. Larson,
  7. Marco M. Nicotra,
  8. and András Gyenis
Optimizing the control of large quantum systems is a resource-intensive task, where the convergence rate of the underlying iterative schemes is crucial. The recently developed Quantum
Projection Operator-Based Newton Method for Trajectory Optimization (Q-PRONTO) offers a unique quadratic convergence for controlling quantum states, while most model-based solvers guarantee only an approximately linear convergence rate. As a proof of concept, here, we design and benchmark single-qubit gates optimized by Q-PRONTO based on the circuit Hamiltonian of a fluxonium superconducting qubit. To ensure that we can apply a long string of arbitrary pulses to the circuit, we modify the firmware associated with the Quantum Instrumentation Control Kit (QICK) by altering its memory allocation. We characterize the performance of the optimal solutions using standard randomized benchmarking and achieve a total error per gate of 6.6×10−4.

Revisiting the multi-mode rhombus circuit as a biased-noise qubit

  1. Pablo Aramburu Sanchez,
  2. Trevyn F.Q. Larson,
  3. Anthony P. McFadden,
  4. Constantin Schrade,
  5. Joshua Combes,
  6. and András Gyenis
In this work, we revisit the idea of using an interferometer of pairs of Josephson junctions as a protected rhombus qubit. Unlike in the original proposal, where the qubit states are
encoded into odd and even parity charge states, here, we intentionally alter the energy of one of the junctions to investigate the soft version of the rhombus qubit. This approach allows us to directly probe the qubit transitions over several GHz and reduce the potential drawbacks of the interferometer-based protection. Away from a half flux quantum external field, the large shunting capacitors of the circuit ensure localized qubit states in different phase valleys, leading to a biased-noise qubit. In the realized circuit, we measure an average T1≈500μs relaxation time in the biased-noise regime (with a Ramsey dephasing time of TRφ≈90ns), while an average T1≈27μs relaxation time at frustration (with TRφ≈670ns). Our loss analysis on this multi-mode circuit indicates that at low frequencies, flux noise and quasiparticle tunneling limit the relaxation times, pointing toward the presence of an optimal operating regime of around a few GHz.

Localized quasiparticles in a fluxonium with quasi-two-dimensional amorphous kinetic inductors

  1. Trevyn F.Q. Larson,
  2. Sarah Garcia Jones,
  3. Tamás Kalmár,
  4. Pablo Aramburu Sanchez,
  5. Sai Pavan Chitta,
  6. Varun Verma,
  7. Kristen Genter,
  8. Katarina Cicak,
  9. Sae Woo Nam,
  10. Gergő Fülöp,
  11. Jens Koch,
  12. Ray W. Simmonds,
  13. and András Gyenis
Disordered superconducting materials with high kinetic inductance are an important resource to generate nonlinearity in quantum circuits and create high-impedance environments. In thin
films fabricated from these materials, the combination of disorder and the low effective dimensionality leads to increased order parameter fluctuations and enhanced kinetic inductance values. Among the challenges of harnessing these compounds in coherent devices are their proximity to the superconductor-insulator phase transition, the presence of broken Cooper pairs, and the two-level systems located in the disordered structure. In this work, we fabricate tungsten silicide wires from quasi-two-dimensional films with one spatial dimension smaller than the superconducting coherence length and embed them into microwave resonators and fluxonium qubits, where the kinetic inductance provides the inductive part of the circuits. We study the dependence of loss on the frequency, disorder, and geometry of the device, and find that the loss increases with the level of disorder and is dominated by the localized quasiparticles trapped in the spatial variations of the superconducting gap.