Experimental Quantum Randomness Processing

Coherently manipulating multipartite quantum correlations leads to remarkable advantages in quantum information processing. A fundamental question is whether such quantum advantages persist only by exploiting multipartite correlations, such as entanglement. Recently, Dale, Jennings, and Rudolph negated the question by showing that a randomness processing, quantum Bernoulli factory, using quantum coherence, is strictly more powerful than the one with classical mechanics. In this Letter, focusing on the same scenario, we propose a theoretical protocol that is classically impossible but can be implemented solely using quantum coherence without entanglement. We demonstrate the protocol by exploiting the high-fidelity quantum state preparation and measurement with a superconducting qubit in the circuit quantum electrodynamics architecture and a nearly quantum-limited parametric amplifier. Our experiment shows the advantage of using quantum coherence of a single qubit for information processing even when multipartite correlation is not present.Comment: 9 pages, 7 figure

Quadruple bonding between iron and boron in the BFe(CO)3- complex.

While main group elements have four valence orbitals accessible for bonding, quadruple bonding to main group elements is extremely rare. Here we report that main group element boron is able to form quadruple bonding interactions with iron in the BFe(CO)3- anion complex, which has been revealed by quantum chemical investigation and identified by mass-selected infrared photodissociation spectroscopy in the gas phase. The complex is characterized to have a B-Fe(CO)3- structure of C3v symmetry and features a B-Fe bond distance that is much shorter than that expected for a triple bond. Various chemical bonding analyses indicate that the complex involves unprecedented B≣Fe quadruple bonding interactions. Besides the common one electron-sharing σ bond and two Fe→B dative π bonds, there is an additional weak B→Fe dative σ bonding interaction. This finding of the new quadruple bonding indicates that there might exist a wide range of boron-metal complexes that contain such high multiplicity of chemical bonds

The experimental realization of high-fidelity `shortcut-to-adiabaticity' quantum gates in a superconducting Xmon qubit

Based on a `shortcut-to-adiabaticity' (STA) scheme, we theoretically design and experimentally realize a set of high-fidelity single-qubit quantum gates in a superconducting Xmon qubit system. Through a precise microwave control, the qubit is driven to follow a fast `adiabatic' trajectory with the assistance of a counter-diabatic field and the correction of derivative removal by adiabatic gates. The experimental measurements of quantum process tomography and interleaved randomized benchmarking show that the process fidelities of our STA quantum gates are higher than 94.9% and the gate fidelities are higher than 99.8%, very close to the state-of-art gate fidelity of 99.9%. An alternate of high-fidelity quantum gates is successfully achieved under the STA protocol.Comment: 18 pages, 6 figure

Victoria\u27s Secret gets into Chinese market business plan proposal

The purpose of this project is to develop a business plan for Victoria\u27s Secret to enter the Chinese market. Currently, Victoria\u27s Secret doesn\u27t operate any stores in China. This project will discuss the following aspects of the Chinese lingerie textile market: the distinct backgrounds of Chinese and United States\u27 lingerie markets, the potential advantages and risks for entering the Chinese market

The temporal characteristics of online interest in after-school services: An Analysis of Baidu Index Data

Aim. This study aims to systematically quantify and analyze the temporal evolution of public online search behaviors regarding after-school services since the implementation of the Double Reduction policy. By thoroughly exploring the changing characteristics of public interest, the study seeks to reveal the potential impact of policy implementation on societal educational demands, providing data support and decision-making references for the optimization and implementation of education policies. Methods. The Baidu Index is a publicly accessible database that accesses search query data in a systematic and quantitative manner for searches for after-school services as key terms. We queried the search volume for after-school services, identified the most commonly used terms, and extracted data from the China for the period between July 1, 2021 and June 30, 2025. Results. The study results show that in September 2021, when the Double Reduction policy began to be implemented across China, searches for the term after-school services peaked, followed by a downward trend. Public interest in the term was higher during the school season and lower during the winter and summer vacations. Conclusions. The implementation of the after-school services policy has indeed brought convenience to the public, increased opportunities for student participation in activities, and promoted the holistic development of students. To better advance this policy, further optimization is needed to align with the United Nations' Sustainable Development Goals (SDGs)

Exploring the Temporal Dynamics of Chinese Online Interest in the Thai Film the Teacher's Diary: An Analysis of Baidu Index Data

Objective: This study aims to systematically quantify and analyze the temporal evolution of public online interest in The Teacher’s Diary since the film's release. By examining the dynamic patterns of online search trends related to the film, the study offers valuable insights for stakeholders in the film industry, the education sector, and related decision-making fields. Methods: Utilizing the Baidu Index—an open-access data analysis tool that leverages Baidu’s vast search engine data—this study used The Teacher’s Diary as the primary keyword. Search volume data were collected from March 20, 2014, to March 19, 2025, across China. The analysis included identifying fluctuations in search interest over time, with particular attention to seasonal and event-driven patterns. Results: The findings indicate that public interest in The Teacher’s Diary experienced an initial surge following its release, followed by a decline and subsequent stabilization, punctuated by periodic peaks. Notably, significant spikes in search activity occurred around China’s Teachers’ Day each year (September 10), while search volumes typically dropped during the Spring Festival period. Conclusion: With its unique narrative perspective, The Teacher’s Diary offers a realistic portrayal of educational realities in Thailand. The film not only provides audiences with aesthetic and emotional resonance but also stimulates deeper reflection on broader educational issues

Increasing Public Interest in Online Education during the COVID-19 Pandemic in the United States: An Analysis of Google Trends Data

Objective: Current evidence suggests that the shift to online learning during the COVID-19 pandemic has profoundly impacted teaching and learning models. This study aims to quantify trends in public interest in different forms of education and associated online search behaviors during the pandemic. Furthermore, it seeks to "nowcast" potential future scenarios concerning the evolution of online education.  Methods: Google Trends, a publicly available database, was employed to systematically and quantitatively analyze search query data for key terms related to online education. This study involved querying multiple search volumes for online education, identifying the most commonly used terms, and extracting data from the United States for the period between January 1, 2019, and January 1, 2023. The results are presented using the Google metric 'search volume index' in relative terms. Results: The public search interest for keywords related to online education experienced a significant surge starting in March 2020, followed by a gradual decline beginning in August 2020. When comparing the average relative search volume (RSV) changes for terms such as "online school," "online education," "online teaching," and "online learning" in the five months preceding and following March 1, 2020, the average search volumes increased by 46.6%, 30.7%, 103.8%, and 188.3%, respectively. Online search interest in e-learning software demonstrated a similar trend. Among platforms like Zoom, Skype, WebEx, and Google Meet, the majority of Google users displayed a clear preference for Zoom. Conclusion: During the COVID-19 pandemic, public interest in online education surged to unprecedented levels, potentially reshaping teaching and learning practices for the foreseeable future. This suggests that the integration and use of digital media in education hold significant potential and offer considerable room for further development

What Drives Trust in Online Paid Knowledge? The Role of Customer Value

Online paid knowledge(OPK) has become very popular since online knowledge platforms have been undergoing a tremendous transformation from providing online free knowledge to OPK. Trust is vital because knowledge is subjective and OPK requires consumers to invest money, time and effort. This study focuses on factors that drive consumers’ trust since OPK creates a new revenue source for both knowledge platforms and knowledge providers. Drawing on customer value theory, we propose that consumers’ perceptions of customer value influence trust. We examine six value relevant factors extracted from three dimensions of customer value: functional (knowledge quality and price utility), emotional (perceived enjoyment and anxiety relief), and social value (social knowledge-image expression and social relationship support). Survey data was analyzed and hypotheses were tested with structural equation modeling(SEM). The results indicate that functional, emotional, and social value contribute significantly to trust. The findings and implications are discussed