Non-Gaussian Precision Metrology via Driving through Quantum Phase Transitions

We propose a scheme to realize high-precision quantum interferometry with entangled non-Gaussian states by driving the system through quantum phase transitions. The beam splitting, in which an initial non-degenerate groundstate evolves into a highly entangled state, is achieved by adiabatically driving the system from a non-degenerate regime to a degenerate one. Inversely, the beam recombination, in which the output state after interrogation becomes gradually disentangled, is accomplished by adiabatically driving the system from the degenerate regime to the non-degenerate one. The phase shift, which is accumulated in the interrogation process, can then be easily inferred via population measurement. We apply our scheme to Bose condensed atoms and trapped ions, and find that Heisenberg-limited precision scalings can be approached. Our proposed scheme does not require single-particle resolved detection and is within the reach of current experiment techniques.Comment: 6 pages, 4 figure

Robust Interaction-Enhanced Sensing via Antisymmetric Rabi Spectroscopy

Atomic spectroscopy, an essential tool for frequency estimation, is widely used in quantum sensing. Atom-atom interaction can be used to generate entanglement for achieving quantum enhanced sensing. However, atom-atom interaction always induces collision shift, which brings systematic error in determining the resonance frequency. Contradiction between utilizing atom-atom interaction and suppressing collision shift generally exists in atomic spectroscopy. Here, we propose an antisymmetric Rabi spectroscopy protocol without collision shift in the presence of atom-atom interactions. We analytically find that the antisymmetric point can be used for determining the resonance frequency. For small Rabi frequency, our antisymmetric Rabi spectroscopy with slight atom-atom interaction can provide better measurement precision than the conventional Rabi spectroscopy. With stronger atom-atom interaction and Rabi frequency, the spectrum resolution can be dramatically improved and the measurement precision may even beat the standard quantum limit. Moreover, unlike the quantum-enhanced Ramsey interferometry via spin squeezing, our scheme is robust against detection noises. Our antisymmetric Rabi spectroscopy protocol has promising applications in various practical quantum sensors such as atomic clocks and atomic magnetometers.Comment: 6 pages, 4 figure

Factors Influencing Hong Kong Youths’ Migration Entrepreneurial Intention in China’s Greater Bay Area

In line with the development of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA), the Hong Kong government has introduced policies aimed at encouraging young Hong Kong residents to pursue their careers and establish businesses in mainland cities located in the GBA. While recent studies have focused on the mobility of Hong Kong youths to GBA cities, the factors that influence their migration entrepreneurial intention (MEI) in GBA remain unclear. As such, the primary objective of this study is to establish a conceptual framework to identify the relationships between personal factors, perception of the environment of GBA cities, and MEI. This study adopted an online survey using Google Forms to collect data from Hong Kong youths aged 18 to 40 between May and July 2022. Based on responses from 230 validated participants, the chi-square test revealed that those with majors in management, business, and economics have a high MEI. Those with prior entrepreneurial experience have a high MEI and those with entrepreneurship family background have a high MEI. Regarding environmental factors, binary logistic regression analysis indicated that unfamiliarity with the business environment, such as business law and regulations, tax, legal protection of products and services, mainland lifestyles, business competitions, and social security, do not significantly influence MEI. However, concerns about credibility resulting from a business failure, worried about the local working relationships, and raising funds were found to negatively influence MEI. Finally, this study provides theoretical implications for extant entrepreneurship research and practical implications for policymakers and educators

ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: TREK-150 Single Object Tracking

The Associating Objects with Transformers (AOT) framework has exhibited exceptional performance in a wide range of complex scenarios for video object tracking and segmentation. In this study, we convert the bounding boxes to masks in reference frames with the help of the Segment Anything Model (SAM) and Alpha-Refine, and then propagate the masks to the current frame, transforming the task from Video Object Tracking (VOT) to video object segmentation (VOS). Furthermore, we introduce MSDeAOT, a variant of the AOT series that incorporates transformers at multiple feature scales. MSDeAOT efficiently propagates object masks from previous frames to the current frame using two feature scales of 16 and 8. As a testament to the effectiveness of our design, we achieved the 1st place in the EPIC-KITCHENS TREK-150 Object Tracking Challenge.Comment: Top 1 solution for EPIC-KITCHEN Challenge 2023: TREK-150 Single Object Tracking. arXiv admin note: text overlap with arXiv:2307.0201