We study the robustness of the evolution of a quantum system against small uncontrolled variations in parameters in the Hamiltonian. We show that the fidelity susceptibility, which quantifies the perturbative error to leading order, can be expressed in superoperator form and use this to derive control pulses that are robust to any class of systematic unknown errors. The proposed optimal control protocol is equivalent to searching for a sequence of unitaries that mimics the first-order moments of the Haar distribution, i.e., it constitutes a 1-design. We highlight the power of our results for error-resistant single- and two-qubit gates.
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http://dx.doi.org/10.1103/PhysRevLett.132.193801 | DOI Listing |
Biotechnol Bioeng
January 2025
Bioprocess Research and Development (BRD), WuXi Biologics, Shanghai, China.
Serving as a dedicated process analytical technology (PAT) tool for biomass monitoring and control, the capacitance probe, or dielectric spectroscopy, is showing great potential in robust pharmaceutical manufacturing, especially with the growing interest in integrated continuous bioprocessing. Despite its potential, challenges still exist in terms of its accuracy and applicability, particularly when it is used to monitor cells during stationary and decline phases. In this study, data pre-processing methods were first evaluated through cross-validation, where the first-order derivative emerged as the most effective method to diminish variability in prediction accuracy across different training datasets.
View Article and Find Full Text PDFSci Rep
January 2025
University of Connecticut, Storrs, CT, USA.
Printed Circuit Board (PCB) design reconstruction is essential for addressing part obsolescence, intellectual property recovery, compliance, quality assurance, and enhancing national capabilities. Traditional methods for PCB design extraction, both non-geometry-based and geometry-based, have limitations in accuracy, efficiency, and scalability. This paper presents an automated approach, combining image processing and machine learning, to achieve 3D semantic segmentation of PCB X-ray Computed Tomography (X-ray CT) images and subsequent netlist extraction.
View Article and Find Full Text PDFJ Chromatogr A
January 2025
Lab Essentials Applications Development, Sartorius Lab Instruments GmbH & Co. KG, Göttingen, Germany.
Adeno-associated viruses (AAV) are among the leading vectors for in vivo gene therapy. The purification of AAV remains a bottleneck as it typically requires multiple individual process steps, often resulting in product loss and high costs. Current downstream processes are usually serotype-specific and rely primarily on expensive affinity resins.
View Article and Find Full Text PDFInt J Lab Hematol
January 2025
Hematology Biology, AP-HP Hôpital Ambroise Paré, Boulogne and Versailles-Saint Quentin-Paris Saclay University, Versailles, France.
Introduction: For complete blood count, ethylenediaminetetraacetic acid (EDTA) is universally used and has been recognized as the most robust anticoagulant. However, it may lead to pseudothrombocytopenia (PTCT), due to the formation of platelet clumps, which is currently followed by resampling on sodium citrate. Other possible anticoagulants are citrate theophylline adenosine dipyridamole (CTAD) and MgSO.
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
School of Ocean Sciences, Bangor University, Menai Bridge, Anglesey LL59 5AB, U.K.
Accurate prediction of chlorophyll- (Chl-) concentrations, a key indicator of eutrophication, is essential for the sustainable management of lake ecosystems. This study evaluated the performance of Kolmogorov-Arnold Networks (KANs) along with three neural network models (MLP-NN, LSTM, and GRU) and three traditional machine learning tools (RF, SVR, and GPR) for predicting time-series Chl- concentrations in large lakes. Monthly remote-sensed Chl- data derived from Aqua-MODIS spanning September 2002 to April 2024 were used.
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