Optimization of High-Fidelity Single-Qubit Gates for Fluxoniums Using Single-Flux Quantum Control
Maxime Lapointe-Major, Boyan Torosov, Bohdan Kulchytskyy, Pooya Ronagh

TL;DR
This paper introduces a gradient-based optimization method for designing high-fidelity single-qubit gates in fluxonium qubits using single-flux quantum pulses, achieving fidelities over 99.9%.
Contribution
It presents a novel pulse scheduling technique that relaxes discretization constraints, enabling efficient high-fidelity gate construction for fluxonium qubits.
Findings
Achieved 99.99% gate fidelity with inductive coupling.
Achieved 99.9% gate fidelity with capacitive coupling.
Leakage identified as the main source of errors.
Abstract
We present a gradient-based method to construct memory-efficient, high-fidelity, single-qubit gates for fluxonium qubits. These gates are constructed using a sequence of single-flux quantum (SFQ) pulses that are sent to the qubit through either capacitive or inductive coupling. The schedule of SFQ pulses is constructed with an on-ramp and an off-ramp applied prior to and after a pulse train, where the pulses are spaced at intervals equal to the qubit period. We reduce the optimization problem to the scheduling of a fixed number of SFQ pulses in the on-ramp and solve it by relaxing the discretization constraint of the SFQ clock as an intermediate step, allowing the use of the Broyden-Fletcher-Goldfarb-Shanno optimizer. Using this approach, gate fidelities of 99.99 % can be achieved for inductive coupling and 99.9 % for capacitive coupling, with leakage being the main source of coherent…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum and electron transport phenomena · Quantum Information and Cryptography · Mechanical and Optical Resonators
