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  1. Abstract Quantum cellular automata (QCA) evolve qubits in a quantum circuit depending only on the states of their neighborhoods and model how rich physical complexity can emerge from a simple set of underlying dynamical rules. The inability of classical computers to simulate large quantum systems hinders the elucidation of quantum cellular automata, but quantum computers offer an ideal simulation platform. Here, we experimentally realize QCA on a digital quantum processor, simulating a one-dimensional Goldilocks rule on chains of up to 23 superconducting qubits. We calculate calibrated and error-mitigated population dynamics and complex network measures, which indicate the formation of small-world mutual information networks. These networks decohere at fixed circuit depth independent of system size, the largest of which corresponding to 1,056 two-qubit gates. Such computations may enable the employment of QCA in applications like the simulation of strongly-correlated matter or beyond-classical computational demonstrations.
    Free, publicly-accessible full text available December 1, 2023
  2. Free, publicly-accessible full text available April 28, 2023
  3. Free, publicly-accessible full text available March 1, 2023
  4. The structure and dynamics of lipid membranes in the presence of extracellular macromolecules are critical for cell membrane functions and many pharmaceutical applications. The pathogen virulence-suppressing end-phosphorylated polyethylene glycol (PEG) triblock copolymer ( Pi-ABAPEG ) markedly changes the interactions with lipid vesicle membranes and prevents PEG-induced vesicle phase separation in contrast to the unphosphorylated copolymer ( ABAPEG ). Pi-ABAPEG weakly absorbs on the surface of lipid vesicle membranes and slightly changes the structure of 1,2-dimyristoyl- sn-glycero -3-phosphocholine ( DMPC ) unilamellar vesicles at 37 °C, as evidenced by small angle neutron scattering. X-ray reflectivity measurements confirm the weak adsorption of Pi-ABAPEG on DMPC monolayer, resulting in a more compact DMPC monolayer structure. Neutron spin-echo results show that the adsorption of Pi-ABAPEG on DMPC vesicle membranes increases the membrane bending modulus κ .
  5. The ineffective removal of antibiotics from the aquatic environment has raised serious problems, including chronic toxicity and antibiotic resistance. Among the numerous strategies, photocatalytic degradation appears to be one of the promising methods to remove antibiotics. Semiconductors are the most widely used photocatalysts, whereas, their efficiencies still suffer from limited light absorption and poor charge separation. Given their exceptional properties, including a superior surface area and massive active sites, MOFs are excellent candidates for the formation of hierarchical nanostructures with semiconductors to address the above issues. In this study, highly-oriented one-dimensional (1D) MIL-100(Fe)/TiO 2 nanoarrays were developed as photocatalysts for the first time (MIL = Materials Institute Lavoisier). The 1D structured TiO 2 nanoarrays not only enable the direct and enhanced charge transport, but also permit easy recycling. With the in situ growth of MIL-100(Fe) on the TiO 2 nanoarrays, the composite exhibits enhanced light absorption, electron/hole separation, and accessibility of active sites. As a result, up to 90.79% photodegradation efficiency of tetracycline, a representative antibiotic, by the MIL-100(Fe)/TiO 2 composite nanoarrays was achieved, which is much higher than that of pristine TiO 2 nanoarrays (35.22%). It is also worth mentioning that the composite nanoarrays demonstrate high stability and stillmore »exhibit high efficiency twice that of the pristine TiO 2 nanoarrays even in the 5th run. This study offers a new strategy for the degradation of antibiotics by using 1D MOF-based nanocomposite nanoarrays.« less