Quantum interference induced by multiple Landau-Zener transitions in a strongly driven rf-SQUID qubit

We irradiated an rf-SQUID qubit with large-amplitude and high frequency electromagnetic field. Population transitions between macroscopic distinctive quantum states due to Landau-Zener transitions at energy-level avoided crossings were observed. The qubit population on the excited states as a function of flux detuning and microwave power exhibits interference patterns. Some novel features are found in the interference and a model based on rate equations can well address the features.Comment: 6 pages, 3 figures, comments are welcom

Propyl 4-hydroxy­benzoate

There are two mol­ecules in the asymmetric unit of the title compound, C10H12O3. In the crystal, mol­ecules are linked by O—H⋯O hydrogen bonds into chains running along [010]. Adjacent chains are joined together by weak π–π inter­actions between benzene rings [centroid–centroid distance = 4.040 (2) Å]

How Does Strict Parallelism Affect Security? A Case Study on the Side-Channel Attacks against GPU-based Bitsliced AES Implementation

Parallel cryptographic implementations are generally considered to be more advantageous than their non-parallel counterparts in mitigating side-channel attacks because of their higher noise-level. So far as we know, the side-channel security of GPU-based cryptographic implementations have been studied in recent years, and those implementations then turn out to be susceptible to some side-channel attacks. Unfortunately, the target parallel implementations in their work do not achieve strict parallelism because of the occurrence of cached memory accesses or the use of conditional branches, so how strict parallelism affects the side-channel security of cryptographic implementations is still an open problem. In this work, we make a case study of the side-channel security of a GPU-based bitsliced AES implementation in terms of bit-level parallelism and thread-level parallelism in order to show the way that works to reduce the side-channel security of strict parallel implementations. We present GPU-based bitsliced AES implementation as the study case because (1) it achieves strict parallelism so as to be resistant to cache-based attacks and timing attacks; and (2) it achieves both bit-level parallelism and thread-level parallelism (a.k.a. task-level parallelism), which enables us to research from multiple perspectives. More specifically, we first set up our testbed and collect electro-magnetic (EM) traces with some special techniques. Then, the measured traces are analyzed in two granularity. In bit-level parallelism, we give a non-profiled leakage detection test before mounting attacks with our proposed bit-level fusion techniques like multi-bits feature-level fusion attacks (MBFFA) and multi-bits decision-level fusion attacks (MBDFA). In thread-level parallelism, a profiled leakage detection test is employed to extract some special information from multi-threads leakages, and with the help of those information our proposed multi-threads hybrid fusion attack (MTHFA) method takes effect. Last, we propose a simple metric to quantify the side-channel security of parallel cryptographic implementations. Our research shows that the secret key of our target implementation can be recovered with less cost than expected, which suggests that the side-channel security of parallel cryptographic implementations should be reevaluated before application

Three-dimensional operational modal analysis based on self-iteration principal component extraction and direct matrix assembly

This paper proposes a self-iteration principal component extraction (SIPCE) and direct matrix assembly method for three-dimensional structures. Different from calculating principal components (PCs) by matrix decomposition in traditional principal component analysis (PCA), SIPCE extracts PCs one by one through self-iteration, so SIPCE has lower space-time complexity. Besides that, it avoids singular-value and ill-posed problems of matrix decomposition. The previous method of solving three-dimensional structures is using modal coordinate response back general reversion of least square algorithm, while the new matrix assembly method calculates three-dimensional modal shapes at one time. So, the new matrix assembly method has less calculation error. The numerical simulation results in a cylindrical shell demonstrate that this method can be practically and effectively applied in operational modal analysis (OMA) of three-dimensional structures. The new method is also robust to noise, and has higher identification accuracy and lower space-time consumption than previous method

Ultra-high-linearity integrated lithium niobate electro-optic modulators

Integrated lithium niobate (LN) photonics is a promising platform for future chip-scale microwave photonics systems owing to its unique electro-optic properties, low optical loss and excellent scalability. A key enabler for such systems is a highly linear electro-optic modulator that could faithfully covert analog electrical signals into optical signals. In this work, we demonstrate a monolithic integrated LN modulator with an ultrahigh spurious-free dynamic range (SFDR) of 120.04 dB Hz4/5 at 1 GHz, using a ring-assisted Mach-Zehnder interferometer configuration. The excellent synergy between the intrinsically linear electro-optic response of LN and an optimized linearization strategy allows us to fully suppress the cubic terms of third-order intermodulation distortions (IMD3) without active feedback controls, leading to ~ 20 dB improvement over previous results in the thin-film LN platform. Our ultra-high-linearity LN modulators could become a core building block for future large-scale functional microwave photonic integrated circuits, by further integration with other high-performance components like low-loss delay lines, tunable filters and phase shifters available on the LN platform

Application of dispersive liquid–liquid microextraction and reversed phase-high performance liquid chromatography for the determination of two fungicides in environmental water samples

Dispersive liquid–liquid microextraction (DLLME) has been developed for the extraction and preconcentration of diethofencarb (DF) and pyrimethanil (PM) in environmental water. In the method, a suitable mixture of extraction solvent (50 μL carbon tetrachloride) and dispersive solvent (0.75 mL acetonitrile) are injected into the aqueous samples (5.00 mL) and the cloudy solution is observed. After centrifugation, the enriched analytes in the sediment phase were determined by HPLC-VWD. Different influencing factors, such as the kind and volume of extraction and dispersive solvent, extraction time and salt effect were investigated. Under the optimum conditions, the enrichment factors for DF and PM were both 108 and the limit of detection were 0.021 ng mL−1 and 0.015 ng mL−1, respectively. The linear ranges were 0.08–400 ng mL−1 for DF and 0.04–200 ng mL−1 for PM. The relative standard deviation (RSDs) were both almost at 6.0% (n = 6). The relative recoveries from samples of environmental water were from the range of 87.0 to 107.2%. Compared with other methods, DLLME is a very simple, rapid, sensitive (low limit of detection) and economical (only 5 mL volume of sample) method