Dynamical Sweet and Sour Regions in Bichromatically Driven Floquet Qubits
D. Dominic Brise\~no-Colunga, Bibek Bhandari, Debmalya Das, Long B. Nguyen, Yosep Kim, David I. Santiago, Irfan Siddiqi, Andrew N. Jordan, and Justin Dressel

TL;DR
This paper explores how bichromatic Floquet driving of qubits can create regions with enhanced coherence, called dynamical sweet spots, by analyzing spectral and lifetime properties to improve noise robustness in quantum hardware.
Contribution
It introduces a novel bichromatic Floquet approach that identifies continuous manifolds of dynamical sweet spots, improving qubit coherence and noise resilience over monochromatic methods.
Findings
Identification of high-coherence regions (sweet spots) under bichromatic drives.
Analytical expressions for quasienergy gaps and dephasing rates.
Bichromatic driving alleviates the trade-off between different noise sensitivities.
Abstract
Modern superconducting and semiconducting quantum hardware use external charge and microwave flux drives to both tune and operate devices. However, each external drive is susceptible to low-frequency (e.g., ) noise that can drastically reduce the decoherence lifetime of the device unless the drive is placed at specific operating points that minimize the sensitivity to fluctuations. We show that operating a qubit in a driven frame using two periodic drives of distinct commensurate frequencies can have advantages over both monochromatically driven frames and static frames with constant offset drives. Employing Floquet theory, we analyze the spectral and lifetime characteristics of a two-level system under weak and strong bichromatic drives, identifying drive-parameter regions with high coherence (sweet spots) and highlighting regions where coherence is limited by additional…
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
TopicsMechanical and Optical Resonators · Neural Networks and Reservoir Computing · Quantum Information and Cryptography
