Generalized Lanczos method for systematic optimization of tensor network states

We propose a generalized Lanczos method to generate the many-body basis states of quantum lattice models using tensor-network states （TNS）. The ground-state wave function is represented as a linear superposition composed from a set of TNS generated by Lanczos iteration. This method improves significantly the accuracy of the tensor-network algorithm and provides an effective way to enlarge the maximal bond dimension of TNS. The ground state such obtained contains significantly more entanglement than each individual TNS, reproducing correctly the logarithmic size dependence of the entanglement entropy in a critical system. The method can be generalized to non-Hamiltonian systems and to the calculation of low-lying excited states, dynamical correlation functions, and other physical properties of strongly correlated systems.

Cubic anvil cell apparatus for high-pressure and low-temperature physical property measurements

We will build a cubic anvil cell （CAC） apparatus for high-pressure and low-temperature physical property measurements in the synergic extreme condition user facility （SECUF）. In this article, we first introduce the operating principle, the development history, and the current status of the CAC apparatus, and subsequently describe the design plan and technical targets for the CAC in SECUF. We will demonstrate the unique advantages of CAC, i.e., excellent pressure homogeneity and large hydrostatic pressure capacity, by summarizing our recent research progresses using CAC. Finally, we conclude by providing some perspectives on the applications of CAC in the related research fields.

Low-power emerging memristive designs towards secure hardware systems for applications in internet of things

Emerging memristive devices offer enormous advantages for applications such as non-volatile memories and inmemory computing(IMC),but there is a rising interest in using memristive technologies for security applications in the era of internet of things(IoT).In this review article,for achieving secure hardware systems in IoT,lowpower design techniques based on emerging memristive technology for hardware security primitives/systems are presented.By reviewing the state-of-the-art in three highlighted memristive application areas,i.e.memristive non-volatile memory,memristive reconfigurable logic computing and memristive artificial intelligent computing,their application-level impacts on the novel implementations of secret key generation,crypto functions and machine learning attacks are explored,respectively.For the low-power security applications in IoT,it is essential to understand how to best realize cryptographic circuitry using memristive circuitries,and to assess the implications of memristive crypto implementations on security and to develop novel computing paradigms that will enhance their security.This review article aims to help researchers to explore security solutions,to analyze new possible threats and to develop corresponding protections for the secure hardware systems based on low-cost memristive circuit designs.

Redox Memristors with Volatile Threshold Switching Behavior for Neuromorphic Computing

The spiking neural network(SNN),closely inspired by the human brain,is one of the most powerful platforms to enable highly efficient,low cost,and robust neuromorphic computations in hardware using traditional or emerging electron devices within an integrated system.In the hardware implementation,the building of artificial spiking neurons is fundamental for constructing the whole system.However,with the slowing down of Moore’s Law,the traditional complementary metal-oxide-semiconductor(CMOS)technology is gradually fading and is unable to meet the growing needs of neuromorphic computing.Besides,the existing artificial neuron circuits are complex owing to the limited bio-plausibility of CMOS devices.Memristors with volatile threshold switching(TS)behaviors and rich dynamics are promising candidates to emulate the biological spiking neurons beyond the CMOS technology and build high-efficient neuromorphic systems.Herein,the state-of-the-art about the fundamental knowledge of SNNs is reviewed.Moreover,we review the implementation of TS memristor-based neurons and their systems,and point out the challenges that should be further considered from devices to circuits in the system demonstrations.We hope that this review could provide clues and be helpful for the future development of neuromorphic computing with memristors.

Telecom wavelength single photon sources

Single photon sources are key components for quantum technologies such as quantum communication, computing and metrology. A key challenge towards the realization of global quantum networks are transmission losses in optical fibers. Therefore, single photon sources are required to emit at the low-loss telecom wavelength bands. However, an ideal telecom wavelength single photon source has yet to be discovered. Here, we review the recent progress in realizing such sources. We start with single photon emission based on atomic ensembles and spontaneous parametric down conversion, and then focus on solid-state emitters including semiconductor quantum dots, defects in silicon carbide and carbon nanotubes. In conclusion, some state-of-the-art applications are highlighted.

Pressure-Induced Metallization and Structural Phase Transition in the Quasi-One-Dimensional TlFeSe2

We report a comprehensive high-pressure study on the monoclinic TIFeSe2 single crystal,which is an antiferromagnetic jnsulator with quasi-one-dimensional crystal structure at ambient pressure.It is found that TIFeSe2 undergoes a pressure-induced structural transformation from the monoclinic phase to an orthorhombic structure above Pc≈13 GPa,accompanied with a large volume collapse of ΔV/V0=8.3%.In the low-pressure monoclinic phase,the insulating state is easily metallized at pressures above 2 GPa;while possible superconductivity with Tconset^2 K is found to emerge above 30 GPa in the high-pressure phase.Such a great tunability of TIFeSe2 under pressure indicates that the ternary AFeSe2 system(A=Tl,K,Cs,Rb) should be taken as an important platform for explorations of interesting phenomena such as insulator-metal transition,dimensionality crossover,and superconductivity.

Ex-vivo confocal Raman microspectroscopy of porcine skin with 633/785-NM laser excitation and optical clearing with glycerol/water/DMSO solution

Confocal Raman microspectroscopy(CRM)with 633-and 785-nm excitation wavelengths combined with optical clearing(OC)technique was used for ex-vivo study of porcine skin in the Raman fingerprint region.The optical clearing has been performed on the skin samples by applying a mixture of glycerol and distilled water and a mixture of glycerol,distilled water and chemical penetration enhancer dimethyl sulfoxide(DMSO)during 30 min and 60 min of treat-ment.It was shown that the combined use of the optical clearing technique and CRM at 633 nm allowed one to preserve the high probing depth,signal-to-noise ratio and spectral resolution simultaneously.Comparing the effect of different optical clearing agents on porcine skin showed that an optical clearing agent containing chemical penetration enhancer provides higher optical clearing efficiency.Also,an increase in treatment time allows to improve the optical clearing efficiency of both optical clearing agents.As a result of optical clearing,the detection of the amide-Ⅲ spectral region indicating well-distinguishable structural differences between the type-Ⅰ and type-Ⅳ collagens has been improved.

Stochastic Resonance in a Coupled Neuronal Network

Stochastic resonance in a globally coupled neuronal network has been studied via numerical simulation.The ability of the network to detect a weak(subthreshold)periodic signal can be optimized to a high signal-to-noise ratio with a long plateau as the noise intensity increases.This may interpret the strong ability of neurons to process information in biological system.

Emergence of High-Temperature Superconducting Phase in Pressurized La_(3)Ni_(2)O_(7)Crystals

The recent report of pressure-induced structural transition and signature of superconductivity with T_(c)≈80 K above 14 GPa in La_(3)Ni_(2)O_(7)crystals has garnered considerable attention.To further elaborate this discovery,we carried out comprehensive resistance measurements on La_(3)Ni_(2)O_(7)crystals grown in an optical-image floating zone furnace under oxygen pressure(15 bar)using a diamond anvil cell(DAC)and cubic anvil cell(CAC),which employ a solid(KBr)and liquid(glycerol)pressure-transmitting medium,respectively.Sample 1 measured in the DAC exhibits a semiconducting-like behavior with large resistance at low pressures and gradually becomes metallic upon compression.At pressures P 13.7 GPa we observed the appearance of a resistance drop of as much as~50%around 70 K,which evolves into a kink-like anomaly at pressures above 40 GPa and shifts to lower temperatures gradually with increasing magnetic field.These observations are consistent with the recent report mentioned above.On the other hand,sample 2 measured in the CAC retains metallic behavior in the investigated pressure range up to 15 GPa.The hump-like anomaly in resistance around~130 K at ambient pressure disappears at P≥2 GPa.In the pressure range of 11–15 GPa we observed the gradual development of a shoulder-like anomaly in resistance at low temperatures,which evolves into a pronounced drop of resistance of 98%below 62 K at 15 GPa,reaching a temperature-independent resistance of 20μΩbelow 20 K.Similarly,this resistance anomaly can be progressively shifted to lower temperatures by applying external magnetic fields,resembling a typical superconducting transition.Measurements on sample 3 in the CAC reproduce the resistance drop at pressures above 10 GPa and realize zero resistance below 10 K at 15 GPa even though an unusual semiconducting-like behavior is retained in the normal state.Based on these results,we constructed a dome-shaped superconducting phase diagram and discuss some issues regarding the sample-dependent behaviors on pressure-induced hightemperature superconductivity in the La_(3)Ni_(2)O_(7)crystals.

Emergence of Superconductivity on the Border of Antiferromagnetic Order in RbMn6Bi5 under High Pressure:A New Family of Mn-Based Superconductors

We report the discovery of superconductivity on the border of antiferromagnetic order in a quasi-one-dimensional material RbMn_(6)Bi_(5)via measurements of resistivity and magnetic susceptibility under high pressures.Its phase diagram of temperature versus pressure resembles those of many magnetism-mediated superconducting systems.With increasing pressure,its antiferromagnetic ordering transition with T_(N)=83K at ambient pressure is first enhanced moderately and then suppressed completely at a critical pressure of P_(c)≈13GPa,around which bulk superconductivity emerges and exhibits a dome-like T_(c)(P)with a maximal T_(c)^(onset)≈9.5K at about 15GPa.In addition,the superconducting state around P_(c) is characterized by a large upper critical fieldμ_(0)H_(c2)(0)exceeding the Pauli paramagnetic limit,implying a possible unconventional paring mechanism.The present study,together with our recent work on KMn_(6)Bi_(5)(the maximum T_(c)^(onset)≈9.3 K),makes AMn_(6)Bi_(5)(A=alkali metal)a new family of Mn-based superconductors with relatively high T_(c).

Pressure-Induced Charge-Order Melting and Reentrant Charge Carrier Localization in the Mixed-Valent Pb3Rh7O15

The mixed-valent Pb3Rh7O15 undergoes a Verwey-type transition at Tv≈180K, below which the development of Rh3＋3＋/Rh4＋4＋ charge order induces an abrupt conductor-to-insulator transition in resistivity. Here we investigate the effect of pressure on the Verwey-type transition of Pb3Rh7O15 by measuring its electrical resistivity under hydrostatic pressures up to 8GPa with a cubic anvil cell apparatus. We find that the application of high pressure can suppress the Verwey-type transition around 3GPa, above which a metallic state is realized at temperatures below ～70K, suggesting the melting of charge order by pressure. Interestingly, the low-temperature metallic region shrinks gradually upon further increasing pressure and disappears completely at P〉7GPa, which indicates that the charge carriers in Pb3Rh7O15 undergo a reentrant localization under higher pressures. We have constructed a temperature-pressure phase diagram for Pb3Rh7O15 and compared to that of Fe3O4, showing an archetype Verwey transition.

Phase behaviors of binary mixtures composed of banana-shaped and calamitic mesogens

In this work, five mixtures with different concentrations of banana-shaped and calamitic compounds have been prepared and subsequently studied by polarizing optical microscopy, differential scanning calorimetry, and X-ray diffraction on non-oriented samples. The phase sequences and molecular parameters of the binary systems are presented.

Robust two-gap strong coupling superconductivity associated with low-lying phonon modes in pressurized Nb5Ir3O superconductors

We report robust superconducting state and gap symmetry of Nb5Ir3O via electrical transport and specific heat measurements. The analysis of specific heat manifests that Nb5Ir3O is a strongly coupled superconductor with ΔC/γnTc ~ 1.91 and double s-wave superconducting gaps of 2ΔL(0)/kBTc ~ 6.56 and 2ΔS(0)/kBTc ~ 2.36 accounting for 90% and 10%,respectively. The(Cp-γnT)/T^3 vs. T plot shows a broad peak at ~ 23 K, indicating phonon softening and the appearance of low-lying phonon mode associated with the interstitial oxygen. This behavior explains the monotonic increase of Tc in Nb5Ir3O(1-δ)by strengthening the electron-phonon coupling and enlarging the density of states at Fermi level. The Hall coefficient is temperature independent below 200 K, and changes its sign from positive to negative above 250 K, suggesting that carrier is across the hole-to electron-dominant regions and the multi-band electronic structures. On warming, the resistivity shows a gradual crossover from T^2-to T^3-dependence at a critical temperature T^*, and a broad peak at a temperature Tp. The reduced Tc under pressure is linearly correlated with lattice parameters c/a ratio and Tp, suggesting the important phonon contributions in Nb5Ir3O as a phonon-medicated superconductor. Possible physical mechanisms are proposed.

Synchronized Oscillations in γ Frequency Band in a Neuronal Network

Synchronous oscillation with frequencies in γ band(30-70 Hz),regarded as relevant to the information processing such as scene segmentation,has been numerically studied in a neuronal network.It is found that this synchronous oscillation relates to an intrinsic oscillation of the system inγband and this feature is robust to various configurations of external stimuli and couplings.

Effect of Noise on the Dynamics of Neuronal Network

The structure of spatiotemporal pattern and the dynamical behavior of interspike timeinterval sequences of firings in a coupled noisy neuronal network are investigated.Various types of external stimuli have been used to exert on the network.The dynamics is modulated by animpulse-like synaptic current which is modeled as globally coupling interactions in the network.The peaks in the interspike interval histogram of spikes are located at integer multiples of the external period,which corresponds with experimental results.

Contacting Probability Dependence of Folding Dynamics of a Modeling Protein

The folding dynamics of a model of polypeptides is studied by Monte Carlo simulations.The effect of contacting probability between monomers is discussed.A specific temperature T^(*c) orresponding to the fastest folding process is found.At the temperature T^(*),the folding process appears more conservative than at other temperatures.In addition a cooperative characteristic,the length dependence of T^(*),is also illustrated.These show some instructive insights into the generic features of protein folding in nature.

Pressure-Induced Charge Transfer and Pressure Dependence of the Superconducting Transition Temperature in HgBa_(2)CuO_(4+δ)

The pressureinduced changes of hole concentration and pressure effects on Tc in HgBa2CuO4+δ(δ=0.07-0.39)have been investigated on the basis of the pressureinduced charge transfer model.Detailed calculations show that large enhancements in Tc under high pressure can be obtained for materials which are underdoped,and not for compounds which have nearly optimal hole concentration.On the other hand,Tc enhancements in compounds which are heavily overdoped are found to be quite modest.The theoretical prediction is in agreement with experiments.The possible intrinsic factors which are responsible for the pressure dependence of the maximum Tc are discussed within the van Hove singularity scenario.

Short-Term Memory and Its Biophysical Model

The capacity of short-term memory has been studied using an integrate-and-fire neuronal network model.It is found that the storage of events depend on the manner of the correlation between the events,and the capacity is dominated by the value of after-depolarization potential.There is a monotonic increasing relationship between the value of after-depolarization potential and the memory,numbers.The biophysics relevance of the network model is discussed and different kinds of the information processes are studied too.

The conductance and polarization in quantum wires with Rashba and Dresselhaus spin-orbit interactions

The conductance and polarization are studied in one-dimensional ballistic quantum wire with both Rashba and Dresselhaus spin-orbit interactions.Two kinds of structures are considered in the present work,one with mixture of two interactions and the other with sequence structure of them.We find that the conductance and polarization are strongly affected by these two interactions.With both interactions we obtain a multi-peak contour of spin polarization and a dramatic oscillation pattern of spin conductance,which are due to the different combination of the two spin-orbit interactions.