High-Fidelity Controlled- Z Gate with Maximal Intermediate Leakage Operating at the Speed Limit in a Superconducting Quantum Processor
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Citations
Realizing repeated quantum error correction in a distance-three surface code
Removing leakage-induced correlated errors in superconducting quantum error correction.
Fast logic with slow qubits: microwave-activated controlled-Z gate on low-frequency fluxoniums
Tunable Coupling Architecture for Fixed-Frequency Transmon Superconducting Qubits.
High fidelity two-qubit gates on fluxoniums using a tunable coupler
References
Supplementary information for "Quantum supremacy using a programmable superconducting processor"
Quantum Computing in the NISQ era and beyond
Quantum supremacy using a programmable superconducting processor
Surface codes: Towards practical large-scale quantum computation
Superconducting quantum circuits at the surface code threshold for fault tolerance
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Frequently Asked Questions (12)
Q2. How many ns are allocated to each CZ gate?
Since their codeword-based control electronics has a 20 ns timing grid, and 40 ns < ttotal ¼ tp þ tϕ þ t1Q < 60 ns for all pairs, the authors allocate 60 ns to every CZ gate.
Q3. What is the main limitation to the fidelity of CPhasegates?
A main limitation to the fidelity of flux-based CPhasegates is dephasing from flux noise, as one qubit is displaced 0.5–1 GHz below its flux-symmetry point (i.e., sweet spot [28]) to reach the j11i–j02i resonance.
Q4. Why does QM1 require a bipolar parking flux pulse?
Owing to the frequency overlap of QM1 and QM2, implementing CZ between QH and QM1 ðQM2Þ requires a bipolar parking flux pulse on QM2 ðQM1Þ during the SNZ pulse on QH [6,33].
Q5. What is the reason to include t in the experiment?
There are practical reasons to include tϕ in experiment: any flux-pulse distortion remaining from the first half pulse (e.g., due to finite pulse decay time) will break the symmetry between BS1 and BS2.
Q6. What is the effect of the double use of the transverse interaction on leakage?
The double use of the transverse interaction also reduces leakage by destructive interference, as understood by analogy to a Mach-Zehnder interferometer (MZI).
Q7. How do the authors determine the dominant sources of infidelity?
To understand the dominant sources of infidelity ε ¼ 1 − F and leakage, the authors run numerical simulations [29], for both SNZ and CNZ, with experimental input parameters for pair QM2-QH.
Q8. What is the main advantage of SNZ over CNZ?
Moving forward, the compatibility of SNZ with their scalable scheme [33] for surface coding makes SNZ their choice for CZ gates for quantum error correction.
Q9. What is the smallest flux amplitude for j11i?
For most pairs, the authors employ the j11i–j02i interaction, which requires the smallest flux amplitude (reducing the impact of dephasing from flux noise) and does not require crossing any other interaction.
Q10. What is the generalization of SNZ to arbitrary CPhase gates?
The generalization of SNZ to arbitrary CPhase gates is straightforward and useful for optimization [34], quantum simulation [35], and other noisy intermediate-scale quantum (NISQ) applications [36].
Q11. What is the effect of the coaxial filter on the flux control line?
Following prior work [29,44], the authors compensate the bandwidth-limiting effect of attenuation in the flux-control coaxial line (skin effect) and cryogenic reflective and absorptive low-pass filters using real-time digital filters in the AWG.
Q12. What is the speed limit of the controlled-Z gates?
Compared to other implementations, e.g., cross resonance using microwave-frequency pulses [9] and parametric radio-frequency pulsing [10], baseband flux pulses achieve the fastest controlled-Z (CZ) gates (a special case of CPhase), operating near the speed limit tlim ¼ π=J2 [11].