Geological activity shapes the microbiome in deep-subsurface aquifers by advection.

Subsurface environments host diverse microorganisms in fluid-filled fractures; however, little is known about how geological and hydrological processes shape the subterranean biosphere. Here, we sampled three flowing boreholes weekly for 10 mo in a 1478-m-deep fractured rock aquifer to study the role of fracture activity (defined as seismically or aseismically induced fracture aperture change) and advection on fluid-associated microbial community composition. We found that despite a largely stable deep-subsurface fluid microbiome, drastic community-level shifts occurred after events signifying physical changes in the permeable fracture network. The community-level shifts include the emergence of microbial families from undetected to over 50% relative abundance, as well as the replacement of the community in one borehole by the earlier community from a different borehole. Null-model analysis indicates that the observed spatial and temporal community turnover was primarily driven by stochastic processes (as opposed to deterministic processes). We, therefore, conclude that the observed community-level shifts resulted from the physical transport of distinct microbial communities from other fracture(s) that outpaced environmental selection. Given that geological activity is a major cause of fracture activity and that geological activity is ubiquitous across space and time on Earth, our findings suggest that advection induced by geological activity is a general mechanism shaping the microbial biogeography and diversity in deep-subsurface habitats across the globe.

Nonmesonic Quantum Many-Body Scars in a 1D Lattice Gauge Theory.

We investigate the meson excitations (particle-antiparticle bound states) in quantum many-body scars of a 1D Z_{2} lattice gauge theory coupled to a dynamical spin-1/2 chain as a matter field. By introducing a string representation of the physical Hilbert space, we express a scar state |Ψ_{n,l}⟩ as a superposition of all string bases with an identical string number n and a total length l. For the small-l scar state |Ψ_{n,l}⟩, the gauge-invariant spin exchange correlation function of the matter field hosts an exponential decay as the distance increases, indicating the existence of stable mesons. However, for large l, the correlation function exhibits a power-law decay, signaling the emergence of nonmesonic excitations. Furthermore, we show that this mesonic-nonmesonic crossover can be detected by the quench dynamics, starting from two low-entangled initial states, respectively, which are experimentally feasible in quantum simulators. Our results expand the physics of quantum many-body scars in lattice gauge theories and reveal that the nonmesonic state can also manifest ergodicity breaking.

Complex Mapping between Neural Response Frequency and Linguistic Units in Natural Speech.

When listening to connected speech, the human brain can extract multiple levels of linguistic units, such as syllables, words, and sentences. It has been hypothesized that the time scale of cortical activity encoding each linguistic unit is commensurate with the time scale of that linguistic unit in speech. Evidence for the hypothesis originally comes from studies using the frequency-tagging paradigm that presents each linguistic unit at a constant rate, and more recently extends to studies on natural speech. For natural speech, it is sometimes assumed that neural encoding of different levels of linguistic units is captured by the neural response tracking speech envelope in different frequency bands (e.g., around 1 Hz for phrases, around 2 Hz for words, and around 4 Hz for syllables). Here, we analyze the coherence between speech envelope and idealized responses, each of which tracks a single level of linguistic unit. Four units, that is, phones, syllables, words, and sentences, are separately considered. We show that the idealized phone-, syllable-, and word-tracking responses all correlate with the speech envelope both around 3-6 Hz and below ∼1 Hz. Further analyses reveal that the 1-Hz correlation mainly originates from the pauses in connected speech. The results here suggest that a simple frequency-domain decomposition of envelope-tracking activity cannot separate the neural responses to different linguistic units in natural speech.

Observation of a Superradiant Phase Transition with Emergent Cat States.

Superradiant phase transitions (SPTs) are important for understanding light-matter interactions at the quantum level, and play a central role in criticality-enhanced quantum sensing. So far, SPTs have been observed in driven-dissipative systems, but the emergent light fields did not show any nonclassical characteristic due to the presence of strong dissipation. Here we report an experimental demonstration of the SPT featuring the emergence of a highly nonclassical photonic field, realized with a resonator coupled to a superconducting qubit, implementing the quantum Rabi model. We fully characterize the light-matter state by Wigner matrix tomography. The measured matrix elements exhibit quantum interference intrinsic of a photonic mesoscopic superposition, and reveal light-matter entanglement.

Quantum Simulation of Topological Zero Modes on a 41-Qubit Superconducting Processor.

Quantum simulation of different exotic topological phases of quantum matter on a noisy intermediate-scale quantum (NISQ) processor is attracting growing interest. Here, we develop a one-dimensional 43-qubit superconducting quantum processor, named Chuang-tzu, to simulate and characterize emergent topological states. By engineering diagonal Aubry-André-Harper (AAH) models, we experimentally demonstrate the Hofstadter butterfly energy spectrum. Using Floquet engineering, we verify the existence of the topological zero modes in the commensurate off-diagonal AAH models, which have never been experimentally realized before. Remarkably, the qubit number over 40 in our quantum processor is large enough to capture the substantial topological features of a quantum system from its complex band structure, including Dirac points, the energy gap's closing, the difference between even and odd number of sites, and the distinction between edge and bulk states. Our results establish a versatile hybrid quantum simulation approach to exploring quantum topological systems in the NISQ era.

Metrological Characterization of Non-Gaussian Entangled States of Superconducting Qubits.

Multipartite entangled states are significant resources for both quantum information processing and quantum metrology. In particular, non-Gaussian entangled states are predicted to achieve a higher sensitivity of precision measurements than Gaussian states. On the basis of metrological sensitivity, the conventional linear Ramsey squeezing parameter (RSP) efficiently characterizes the Gaussian entangled atomic states but fails for much wider classes of highly sensitive non-Gaussian states. These complex non-Gaussian entangled states can be classified by the nonlinear squeezing parameter (NLSP), as a generalization of the RSP with respect to nonlinear observables and identified via the Fisher information. However, the NLSP has never been measured experimentally. Using a 19-qubit programmable superconducting processor, we report the characterization of multiparticle entangled states generated during its nonlinear dynamics. First, selecting ten qubits, we measure the RSP and the NLSP by single-shot readouts of collective spin operators in several different directions. Then, by extracting the Fisher information of the time-evolved state of all 19 qubits, we observe a large metrological gain of 9.89_{-0.29}^{+0.28} dB over the standard quantum limit, indicating a high level of multiparticle entanglement for quantum-enhanced phase sensitivity. Benefiting from high-fidelity full controls and addressable single-shot readouts, the superconducting processor with interconnected qubits provides an ideal platform for engineering and benchmarking non-Gaussian entangled states that are useful for quantum-enhanced metrology.

Probing Operator Spreading via Floquet Engineering in a Superconducting Circuit.

Operator spreading, often characterized by out-of-time-order correlators (OTOCs), is one of the central concepts in quantum many-body physics. However, measuring OTOCs is experimentally challenging due to the requirement of reversing the time evolution of systems. Here we apply Floquet engineering to investigate operator spreading in a superconducting 10-qubit chain. Floquet engineering provides an effective way to tune the coupling strength between nearby qubits, which is used to demonstrate quantum walks with tunable couplings, reversed time evolution, and the measurement of OTOCs. A clear light-cone-like operator propagation is observed in the system with multiple excitations, and has a nearly equal velocity as the single-particle quantum walk. For the butterfly operator that is nonlocal (local) under the Jordan-Wigner transformation, the OTOCs show distinct behaviors with (without) a signature of information scrambling in the near integrable system.

Observation of Thermalization and Information Scrambling in a Superconducting Quantum Processor.

Understanding various phenomena in nonequilibrium dynamics of closed quantum many-body systems, such as quantum thermalization, information scrambling, and nonergodic dynamics, is crucial for modern physics. Using a ladder-type superconducting quantum processor, we perform analog quantum simulations of both the XX-ladder model and the one-dimensional XX model. By measuring the dynamics of local observables, entanglement entropy, and tripartite mutual information, we signal quantum thermalization and information scrambling in the XX ladder. In contrast, we show that the XX chain, as free fermions on a one-dimensional lattice, fails to thermalize to the Gibbs ensemble, and local information does not scramble in the integrable channel. Our experiments reveal ergodicity and scrambling in the controllable qubit ladder, and open the door to further investigations on the thermodynamics and chaos in quantum many-body systems.

Observation of Strong and Weak Thermalization in a Superconducting Quantum Processor.

We experimentally study the ergodic dynamics of a 1D array of 12 superconducting qubits with a transverse field, and identify the regimes of strong and weak thermalization with different initial states. We observe convergence of the local observable to its thermal expectation value in the strong-thermalizaion regime. For weak thermalization, the dynamics of local observable exhibits an oscillation around the thermal value, which can only be attained by the time average. We also demonstrate that the entanglement entropy and concurrence can characterize the regimes of strong and weak thermalization. Our work provides an essential step toward a generic understanding of thermalization in quantum systems.

Observing Information Backflow from Controllable Non-Markovian Multichannels in Diamond.

The unavoidable interaction of a quantum open system with its environment leads to the dissipation of quantum coherence and correlations, making its dynamical behavior a key role in many quantum technologies. In this Letter, we demonstrate the engineering of multiple dissipative channels by controlling the adjacent nuclear spins of a nitrogen-vacancy center in diamond. With a controllable non-Markovian dynamics of this open system, we observe that the quantum Fisher information flows to and from the environment using different noisy channels. Our work contributes to the developments of both noisy quantum metrology and quantum open systems from the viewpoints of metrologically useful entanglement.

Second-Order Topological Phases in Non-Hermitian Systems.

A d-dimensional second-order topological insulator (SOTI) can host topologically protected (d-2)-dimensional gapless boundary modes. Here, we show that a 2D non-Hermitian SOTI can host zero-energy modes at its corners. In contrast to the Hermitian case, these zero-energy modes can be localized only at one corner. A 3D non-Hermitian SOTI is shown to support second-order boundary modes, which are localized not along hinges but anomalously at a corner. The usual bulk-corner (hinge) correspondence in the second-order 2D (3D) non-Hermitian system breaks down. The winding number (Chern number) based on complex wave vectors is used to characterize the second-order topological phases in 2D (3D). A possible experimental situation with ultracold atoms is also discussed. Our work lays the cornerstone for exploring higher-order topological phenomena in non-Hermitian systems.

Propagation and Localization of Collective Excitations on a 24-Qubit Superconducting Processor.

Superconducting circuits have emerged as a powerful platform of quantum simulation, especially for emulating the dynamics of quantum many-body systems, because of their tunable interaction, long coherence time, and high-precision control. Here in experiments, we construct a Bose-Hubbard ladder with a ladder array of 20 qubits on a 24-qubit superconducting processor. We investigate theoretically and demonstrate experimentally the dynamics of single- and double-excitation states with distinct behaviors, indicating the uniqueness of the Bose-Hubbard ladder. We observe the linear propagation of photons in the single-excitation case, satisfying the Lieb-Robinson bounds. The double-excitation state, initially placed at the edge, localizes; while placed in the bulk, it splits into two single-excitation modes spreading linearly toward two boundaries, respectively. Remarkably, these phenomena, studied both theoretically and numerically as unique properties of the Bose-Hubbard ladder, are represented coherently by pairs of controllable qubits in experiments. Our results show that collective excitations, as a single mode, are not free. This work paves the way to simulation of exotic logic particles by subtly encoding physical qubits and exploration of rich physics by superconducting circuits.

Characterization of Topological States via Dual Multipartite Entanglement.

We demonstrate that multipartite entanglement is able to characterize one-dimensional symmetry-protected topological order, which is witnessed by the scaling behavior of the quantum Fisher information of the ground state with respect to the spin operators defined in the dual lattice. We investigate an extended Kitaev chain with a Z symmetry identified equivalently by winding numbers and paired Majorana zero modes at each end. The topological phases with high winding numbers are detected by the scaling coefficient of the quantum Fisher information density with respect to generators in different dual lattices. Containing richer properties and more complex structures than bipartite entanglement, the dual multipartite entanglement of the topological state has promising applications in robust quantum computation and quantum metrology, and can be generalized to identify topological order in the Kitaev honeycomb model.

Emulating Many-Body Localization with a Superconducting Quantum Processor.

The law of statistical physics dictates that generic closed quantum many-body systems initialized in nonequilibrium will thermalize under their own dynamics. However, the emergence of many-body localization (MBL) owing to the interplay between interaction and disorder, which is in stark contrast to Anderson localization, which only addresses noninteracting particles in the presence of disorder, greatly challenges this concept, because it prevents the systems from evolving to the ergodic thermalized state. One critical evidence of MBL is the long-time logarithmic growth of entanglement entropy, and a direct observation of it is still elusive due to the experimental challenges in multiqubit single-shot measurement and quantum state tomography. Here we present an experiment fully emulating the MBL dynamics with a 10-qubit superconducting quantum processor, which represents a spin-1/2 XY model featuring programmable disorder and long-range spin-spin interactions. We provide essential signatures of MBL, such as the imbalance due to the initial nonequilibrium, the violation of eigenstate thermalization hypothesis, and, more importantly, the direct evidence of the long-time logarithmic growth of entanglement entropy. Our results lay solid foundations for precisely simulating the intriguing physics of quantum many-body systems on the platform of large-scale multiqubit superconducting quantum processors.

Single-Shot Readout of a Nuclear Spin Weakly Coupled to a Nitrogen-Vacancy Center at Room Temperature.

Single-shot readout of qubits is required for scalable quantum computing. Nuclear spins are superb quantum memories due to their long coherence time, but are difficult to be read out in a single shot due to their weak interaction with probes. Here we demonstrate single-shot readout of a weakly coupled ^{13}C nuclear spin at room temperature, which is unresolvable in traditional protocols. States of the weakly coupled nuclear spin are trapped and read out projectively by sequential weak measurements, which are implemented by dynamical decoupling pulses. A nuclear spin coupled to the nitrogen-vacancy (NV) center with strength 330 kHz is read out in 200 ms with a fidelity of 95.5%. This work provides a general protocol for single-shot readout of weakly coupled qubits at room temperature and therefore largely extends the range of physical systems for scalable quantum computing.

[Value of the Geriatric Nutritional Risk Index in predicting mortality of elderly patients undergoing hemodialysis].

OBJECTIVE: To explore the reliability of the Geriatric Nutritional Risk Index (GNRI) as a mortality predictor in elderly patients undergoing hemodialysis (HD). METHODS: A total of 125 maintenance HD patients aged >60 years old who had received dialysis for over 6 months before entry was retrospectively examined. The values of GNRI were calculated, and death was taken as the end point. The patients were divided into 4 groups according to the quartiles of GNRI values. All-cause and cardiovascular mortality were calculated using Kaplan-Meier and cox proportional-hazards analyses, and ROC curve was adopted for analyzing the predicting value of GNRI on mortality. RESULTS: The GNRI of the four groups were ≤92.06, 92.07-96.15, 96.16-101.25, ≥101.26, respectively. Kaplan-Meier survival rate was significantly different among 4 groups for all-cause and cardiovascular mortality. Cox regression model analysis demonstrated that the GNRI was a predictor for all cause (HR=0.940, P=0.001, 95%CI: 0.907-0.974) and cardiovascular mortality (HR=0.906, P<0.001, 95%CI: 0.863-0.951). The area under ROC curve was 0.667 (P=0.001) for all-cause mortality and 0.717 (P=0.001) for cardiovascular mortality. CONCLUSION: The GNRI is a reliable predictor for all-cause mortality in maintainance HD patients, but more multi-center studies with larger samples are still needed.

Enhancing xanthine oxidase fermentation with pH-shift strategy based on kinetic analysis by Arthrobacter M3.

The effect of initial culture pH and inducer concentration on xanthine oxidase (XOD) fermentation in shake flasks was first carried out. The results showed that the optimum initial culture pH and inducer concentration were 8.6 and 3.6 g/l, respectively. Batch fermentation of XOD by Arthrobacter M3 in a 7.5-l fermentor was then tested under various pH conditions ranging from 7.6 to 8.6. Based on the analysis of the obtained kinetic parameters, a pH-shift strategy in batch fermentation was implemented to enhance the XOD fermentation. In this strategy, the initial culture pH was set at 8.6 without control and was maintained at 7.6 after the biomass reached 2.0 g/l DCW. XOD production (P) and final average yield coefficient for production on biomass (FAYp/x) in this strategy reached 7,415.3 U/l and 1,229.7 U/g, respectively, which were significantly higher than the results from the other four protocols. In pH-shift batch fermentation, the Luedeking-Piret equation for product accumulation and the Luedeking-Piret-like equation for substrate consumption fit well with the experimental values. The correlation coefficients (R (2)) of these two fitting curves were 0.977 and 0.992, respectively.

Thermal inactivation of xanthine oxidase from Arthrobacter M3: mechanism and the corresponding thermostabilization strategy.

The mechanism of thermal inactivation about xanthine oxidase (XOD) from Arthrobacter M3 was investigated. Results of reducing SDS-PAGE indicated that the inactivation of XOD was not related to the peptide degradation. Meanwhile, fluorimetry and circular dichroism spectroscopy suggested that XOD inactivation might be associated with the exposure of hydrophobic residues to surface and partial loss of secondary structure. Specific formation of soluble aggregates of XOD was detected by size exclusion chromatography. In addition, the thermal-dynamic analysis showed that the inactivation kinetics of XOD followed the first-order model. Therefore, trehalose (cosolute) and betaine (osmolyte) were accordingly employed to attenuate the inactivation of this enzyme. The results associated with these two reagents further confirmed that the loss of XOD activity was mainly due to the exposure of hydrophobic residues and formation of aggregation. Owing to the added trehalose and betaine, half-life could be significantly increased, and the inactivation rate constant (k) was detected as decreased.

[Related factors and prognostic significance of intradialytic blood pressure variability in patients on maintenance hemodialysis].

OBJECTIVE: To evaluate intradialytic blood pressure variability (BPV) in patients on maintenance hemodialysis (MHD), and to investigate the correlated factors of BPV in MHD process and its correlation with prognosis. METHODS: Patients with end stage renal disease on MHD before January 1, 2009 were enrolled and analyzed retrospectively. Blood pressure at the first hemodialysis every quarter during January, 2009 and December, 2010 were recorded. The systolic pressure, diastolic pressure were calculated, and dialysis systolic and diastolic BPV were expressed with discrete coefficients. As for patients with follow-up time less than 2 years, blood pressures in evenly distributed 6-8 courses were used for calculation.Cardiovascular events and death were recorded and the follow-up was lasted till December 31, 2011. RESULTS: A total of 280 patients were enrolled, with intradialytic systolic BPV of 0.119 ± 0.029, and intradialytic diastolic BPV of 0.118 ± 0.028. Intradialytic systolic BPV in the elderly group (n = 114) was significantly higher than that in the younger group (n = 166) (0.126 ± 0.029 vs 0.114 ± 0.028, P = 0.012), while no significant difference was found in diastolic BPV (0.117 ± 0.031 vs 0.119 ± 0.025, P = 0.498). Intradialytic systolic BPV was used as variates in multivariable regression analysis, and results showed that age, systolic blood pressure before dialysis, intradialytic weight gain (IDWG) rate during dialysis and hemoglobin level were independent influential factors for intradialytic systolic BPV. The intradialytic diastolic BPV was used as variates in multivariable regression analysis, and results showed that IDWG rate and average dehydration volume were independent influential factors for intradialytic diastolic BPV. During 3 years of follow-up, 64 patients died (22.9%). The survival analysis showed that the dialysis systolic BPV elevation was associated with the mortality rate (P < 0.01). CONCLUSIONS: Older age, high systolic pressure before hemodialysis, high IDWG rate, and low hemoglobin level were independent risk factors of high intradialytic systolic BPV increase. Intradialytic high IDWG is an independent risk factor of high intradialytic diastolic BPV increase in patients on MHD. Intradialytic systolic BPV increase is associated with all-cause mortality in patients on MHD.

Acoustic correlates of the syllabic rhythm of speech: Modulation spectrum or local features of the temporal envelope.

The syllable is a perceptually salient unit in speech. Since both the syllable and its acoustic correlate, i.e., the speech envelope, have a preferred range of rhythmicity between 4 and 8 Hz, it is hypothesized that theta-band neural oscillations play a major role in extracting syllables based on the envelope. A literature survey, however, reveals inconsistent evidence about the relationship between speech envelope and syllables, and the current study revisits this question by analyzing large speech corpora. It is shown that the center frequency of speech envelope, characterized by the modulation spectrum, reliably correlates with the rate of syllables only when the analysis is pooled over minutes of speech recordings. In contrast, in the time domain, a component of the speech envelope is reliably phase-locked to syllable onsets. Based on a speaker-independent model, the timing of syllable onsets explains about 24% variance of the speech envelope. These results indicate that local features in the speech envelope, instead of the modulation spectrum, are a more reliable acoustic correlate of syllables.