Passive error correction protects logical information forever (in the thermodynamic limit) by updating the system based only on local information and few-body interactions. A paradigmatic example is the classical two-dimensional Ising model: a Metropolis-style Gibbs sampler retains the sign of the initial magnetization (a logical bit) for thermodynamically long times in the low-temperature phase. Known models of passive quantum error correction similarly exhibit thermodynamic phase transitions to a low-temperature phase wherein logical qubits are protected by thermally stable topological order. Here, in contrast, we show that certain families of constant-rate classical and quantum low-density parity check codes have no thermodynamic phase transitions at nonzero temperature, but nonetheless exhibit ergodicity-breaking dynamical transitions: below a critical nonzero temperature, the mixing time of local Gibbs sampling diverges in the thermodynamic limit. Slow Gibbs sampling of such codes enables fault-tolerant passive quantum error correction using finite-depth circuits. This strategy is well suited to measurement-free quantum error correction, and may present a desirable experimental alternative to conventional quantum error correction based on syndrome measurements and active feedback.
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http://dx.doi.org/10.1038/s41467-024-55570-7 | DOI Listing |
Environ Technol
January 2025
Colegio de Postgraduados, Posgrado de Edafología, Microbiología de Suelos, Montecillo, Estado de México, México.
The aim of our study was to characterize the hydrodynamics and mass transfer in a novel internal flat-plate airlift cylindrical reactor to increase the biodegradation of newspaper. We evaluated the degradation kinetics of newspaper in a batch culture with . Gas holdup, mixing time, the Reynolds number, and volumetric mass transfer coefficient () properties were characterized in biphasic and triphasic systems in order to optimize their operational conditions.
View Article and Find Full Text PDFFood Chem
December 2024
National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, and Beijing Laboratory for Food Quality and Safety, Beijing 100193, China; Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing 100013, China. Electronic address:
Ovalbumin (OVA) is a high-risk allergen with complex tertiary structure in food samples. Here, we developed an accurate UPLC-MS/MS-based assay to improve OVA quantitative performance in processed foods. Full-length isotope-labeled OVA proteins (OVA-I) were synthesized using stable isotope labeling by amino acids in cell culture (SILAC) technique and employed as functional internal standards to ensure similar cleavage sites between internal standards and analytes.
View Article and Find Full Text PDFExp Brain Res
January 2025
Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, No. 1055, Sanxiang Road, Suzhou, 215004, Jiangsu Province, People's Republic of China.
This study investigated the relationship between eye movement parameters and cognitive function in patients with mild to moderate Alzheimer's disease (AD). A total of 80 patients with AD (mild and moderate) and 34 normal controls (NC) participated. Neuropsychological assessments were conducted using the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA), while eye movements were recorded using eye-tracking technology.
View Article and Find Full Text PDFJ Chem Theory Comput
January 2025
Exscientia, Schrödinger Building, Oxford Science Park, Oxford OX4 4GE, U.K.
The development of machine-learning (ML) potentials offers significant accuracy improvements compared to molecular mechanics (MM) because of the inclusion of quantum-mechanical effects in molecular interactions. However, ML simulations are several times more computationally demanding than MM simulations, so there is a trade-off between speed and accuracy. One possible compromise are hybrid machine learning/molecular mechanics (ML/MM) approaches with mechanical embedding that treat the intramolecular interactions of the ligand at the ML level and the protein-ligand interactions at the MM level.
View Article and Find Full Text PDFInt J Obstet Anesth
December 2024
Department of Biomedical Engineering and the School of Brain Sciences and Cognition, Ben Gurion University of the Negev, Beer Sheva, Israel.
Background: Correct identification of the epidural space requires extensive training for technical proficiency. This study explores a novel bimanual haptic simulator designed for the precise insertion of an epidural needle based on loss-of-resistance (LOR) detection, providing realistic dual-hand force feedback.
Methods: The simulator, equipped with two haptic devices connected to a Tuohy needle and an LOR syringe, was designed to simulate the tissues' resistive forces felt by the user during the procedure, offer anatomical variability and record detailed performance metrics for personalized feedback.
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