We show the following: a randomly chosen pure state as a resource for measurement-based quantum computation is-with overwhelming probability-of no greater help to a polynomially bounded classical control computer, than a string of random bits. Thus, unlike the familiar "cluster states," the computing power of a classical control device is not increased from P to BQP (bounded-error, quantum polynomial time), but only to BPP (bounded-error, probabilistic polynomial time). The same holds if the task is to sample from a distribution rather than to perform a bounded-error computation. Furthermore, we show that our results can be extended to states with significantly less entanglement than random states.
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http://dx.doi.org/10.1103/PhysRevLett.102.190502 | DOI Listing |
Front Plant Sci
January 2025
College of Life Sciences, Gannan Normal University, Ganzhou, China.
Citrus Huanglongbing (HLB) represents a significant threat to the citrus industry, mainly caused by the phloem-limited bacterium Liberibacter asiaticus (Las). In this review, we summarize recent advances in understanding the relationship between citrus and Las, particularly examining the functions of Sec-dependent effectors (SDEs) and non-classically secreted proteins (ncSPs) in virulence, as well as their targeted interactions with citrus. We further investigate the impact of SDEs on various physiological processes, including systemic acquired resistance (SAR), reactive oxygen species (ROS) accumulation, vesicle trafficking, callose deposition, cell death, autophagy, chlorosis and flowering.
View Article and Find Full Text PDFCureus
December 2024
Biomedical Sciences, University of Chicago, Chicago, USA.
Pediatric-type follicular lymphoma (PTFL) is an extremely rare B-cell lymphoma that primarily affects children and young adults, typically in individuals under 25 years old, with a median age of 15 years. Here, we report a rare case of PTFL in a 27-year-old adult male who presented with a slow-growing mass near his left ear. Initial CT scans of the neck revealed two oval-shaped, smooth, well-defined, homogeneously enhancing soft tissue density lesions in the superficial lobe of the left parotid gland.
View Article and Find Full Text PDFQuant Imaging Med Surg
January 2025
Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Background: There are currently no deep learning models applying resting-state functional magnetic resonance imaging (rs-fMRI) data to distinguish patients with Parkinson's disease (PD) and healthy controls (HCs). Moreover, no study has correlated objective gait parameters with brain network alterations in patients with PD. We propose BrainNetCNN + CL, applying a convolutional neural network (CNN) and joint contrastive learning (CL) method to brain network analysis to classify patients with PD and HCs, and compare their performance with classical classification methods.
View Article and Find Full Text PDFQuant Imaging Med Surg
January 2025
Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background: Volumetric modulated arc therapy (VMAT) is a popular radiotherapy technique in the clinic. As consisting of hundreds of control points in a VMAT plan it is more complex and time consuming than those conventional treatment modalities, such as intensity modulated radiation therapy. To improve the efficiency and accuracy of its quality assurance procedure, a novel automated anomaly detection method was proposed.
View Article and Find Full Text PDFSmall
January 2025
Key Laboratory of Marine Chemistry Theory and Technology (Ministry of Education), College of Chemistry & Chemical Engineering, Ocean University of China, 238 Songling Road, Qingdao, 266100, China.
Achieving fast conversion and precise regulation of product selectivity in electrochemical CO reduction reaction (CORR) remains a challenge. The space confinement effect provides a theoretical basis for the design of catalysts of different morphology and sizes and reveals the physical phenomena caused by the confinement of electrons and other particles at the nanoscale. In this work, a semi-confinement concept is introduced and a mesoporous silica nanosphere supported Cu catalyst (Cu-MSN) is prepared as a typical example to realize CORR enhancement and product selectivity regulation (methane vs ethylene).
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