Year: 2026
Type: article
Abstract: ABSTRACT Future quantum computing architectures require electro‐optic materials that maintain a strong, stable performance at cryogenic temperatures. In conventional electro‐optic materials, large electro‐optic coefficients are often confined to narrow temperature windows near structural phase transitions, where small changes in temperature lead to large changes in the electro‐optic response. Using thermodynamic analysis, phase‐field simulations, experimental growth, and cryogenic optical measurements, we show that quantum fluctuations can be harnessed to overcome this trade‐off. By tuning the ferroelectric phase boundaries down to 0 K, quantum fluctuations induce a saturation regime in which a large electro‐optic response becomes nearly temperature‐independent below 25 K. We demonstrate that the phase boundaries can be tuned through either strain in BaTiO 3 or through chemical composition in Ba 1‐ x Ca x TiO 3 , leading to a large, temperature‐insensitive, cryogenic electro‐optic response, r eff = 2850 pm V −1 (experiment) and r 51 = 2900 pm V −1 (theory) for BaTiO 3 on GdScO 3 and r 51 = 1898 pm V −1 (theory) for Ba 0.77 Ca 0.23 TiO 3 . These values exceed the room temperature performance of bulk BaTiO 3 r 51 = 1600 pm V −1 and surpass the cryogenic performance of BaTiO 3 ‐on‐Si, r eff = 200 pm V −1 , by over an order of magnitude. These findings establish a general design principle for engineering high‐performance electro‐optic materials for cryogenic applications.
Source: Advanced Materials
DOI: 10.1002/adma.75543
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $6,070
Awards: Track 4: Advanced CI Coordination Ecosystem: Monitoring and Measurement Services, Collaborative Research: DMREF: NSF-DFG: Atoms-to-Device Closed-Loop Predictive Design of Electro-Optic Materials for Quantum Photonic Circuits, G2414013413, G3406661761, Track 1: ACCESS Resource Allocations Marketplace and Platform Services (RAMPS), G4303070870, ACO: An Open CI Ecosystem to Advance Scientific Discovery (OpenCI), Track 3: COre National Ecosystem for CyberinfrasTructure (CONECT), G5212984984, G6121277264, G6965887028, MIP: Platform for the Accelerated Realization, Analysis, and Discovery of Interface Materials (PARADIM), G8174472116, Track 2: Customized Multi-tier Assistance, Training, and Computational Help (MATCH) for End User ACCESS to CI, Graduate Research Fellowship Program (GRFP)
OpenAlex ID: W7140302272
