1,743 research outputs found

    Highly Efficient Creation and Detection of Deeply-bound Molecules via Invariant-based Inverse Engineering with Feasible Modified Drivings

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    Stimulated Raman Adiabatic Passage (STIRAP) and its variants, such as multi-state chainwise-STIRAP allow efficiently transferring the populations in multi-state system and have been widely used to prepare ultracold deeply-bound molecules. However, their transfer efficiencies are generally imperfect. The main obstacle is the presence of losses and the requirement to make the dynamics adiabatic. To this end, in the present paper a theoretical method for the efficient and robust creation and detection of deeply-bound molecules is proposed. The simple three- and five-level systems with states chainwise coupled by optical fields are considered. In the regime of large detuning, the major molecular losses are pre-suppressed by reducing the dynamics of the three- and five-level molecular systems to those of effective two- and three-level counterparts, respectively. Consequently, two-level counterpart can be directly compatible with two kinds of "Invariant-based Inverse Engineering" (IIE) recipes, the results show that both protocols give comparable performance and have good experimental feasibility. For the five-level case, by considering a relation among the four incident pulses, we show that the M-type structure can be generalized into an effective LambdaLambda-type one with the simplest resonant coupling. Therefore, this generalized model can also be directly compatible with "IIE" recipe. Numerical calculations show that the weakly-bound molecules can be efficiently transferred to their deeply-bound states without strong laser intensity, and the stability against parameter variations is well preserved. Finally, the detection of ultracold deeply-bound molecules is discussed, the results show that all the protocols allow efficient detection of molecules

    Как ΠΏΡ€Π΅ΠΎΠ΄ΠΎΠ»Π΅Ρ‚ΡŒ случай Ρ‡Π΅Ρ€Π½ΠΎΠ³ΠΎ лСбСдя - Π½Π° основС ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² рСагирования ΠΌΠ°Π»Ρ‹Ρ… ΠΈ срСдних ΠΈΠΌΠΏΠΎΡ€Ρ‚Π½Ρ‹Ρ… ΠΈ экспортных прСдприятий Π² условиях эпидСмии COVID-19

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    ЭпидСмия covid-19 (классичСский ΠΈΠ½Ρ†ΠΈΠ΄Π΅Π½Ρ‚ с Ρ‡Π΅Ρ€Π½Ρ‹ΠΌ Π»Π΅Π±Π΅Π΄Π΅ΠΌ), Ρ€Π°Π·Ρ€Π°Π·ΠΈΠ²ΡˆΠ°ΡΡΡ Π² 2019 Π³ΠΎΠ΄Ρƒ, повлияла Π½Π° Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ ΠΌΠ½ΠΎΠ³ΠΈΡ… ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ, Π·Π°Π½ΠΈΠΌΠ°ΡŽΡ‰ΠΈΡ…ΡΡ ΠΈΠΌΠΏΠΎΡ€Ρ‚ΠΎΠΌ ΠΈ экспортом. Автор исслСдуСт Ρ‚Π°ΠΊΠΈΠ΅ ΠΈΠ½Ρ†ΠΈΠ΄Π΅Π½Ρ‚Ρ‹, Ρ‡Ρ‚ΠΎΠ±Ρ‹ ΡΠ½ΠΈΠ·ΠΈΡ‚ΡŒ бизнСс-риски ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ

    Efficient Multi-Channel Speech Enhancement with Spherical Harmonics Injection for Directional Encoding

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    Multi-channel speech enhancement extracts speech using multiple microphones that capture spatial cues. Effectively utilizing directional information is key for multi-channel enhancement. Deep learning shows great potential on multi-channel speech enhancement and often takes short-time Fourier Transform (STFT) as inputs directly. To fully leverage the spatial information, we introduce a method using spherical harmonics transform (SHT) coefficients as auxiliary model inputs. These coefficients concisely represent spatial distributions. Specifically, our model has two encoders, one for the STFT and another for the SHT. By fusing both encoders in the decoder to estimate the enhanced STFT, we effectively incorporate spatial context. Evaluations on TIMIT under varying noise and reverberation show our model outperforms established benchmarks. Remarkably, this is achieved with fewer computations and parameters. By leveraging spherical harmonics to incorporate directional cues, our model efficiently improves the performance of the multi-channel speech enhancement.Comment: arXiv admin note: text overlap with arXiv:2309.1039

    Personal Insolvency in China: Necessities, Difficulties, and Possibilities

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    There has long been demand for personal insolvency laws in China, yet such laws have hitherto been unavailable, in part due to ideological resistance. In more recent years there has been an increase in borrowing by individuals, which has led to increased calls for honest but unfortunate debtors to be able to obtain a fresh start. Yet there is significant public mistrust of defaulting debtors and in particular there is a shadow cast by those termed the Lao Lai that has led many to question the desirability of such a reform. There has also been a need for change in the development of an infrastructure to support a personal insolvency system, such as a social security, property registration and credit information systems, and although progress has been made in these regards there is still a need for further development. However, there has been case law progress in one province enabling collective resolutions of claims against insolvent debtors, and judicial guidance from senior courts has expanded on this. More recently, the COVID-19 pandemic has accelerated progress towards the enactment of personal insolvency laws on a local level in Shenzhen. This article considers the need for personal insolvency laws in China, identifies the obstacles that have hitherto stood in the way of such laws and discusses the momentum which has been recently gained towards the enactment of personal insolvency laws
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