12 research outputs found
No imminent quantum supremacy by boson sampling
It is predicted that quantum computers will dramatically outperform their
conventional counterparts. However, large-scale universal quantum computers are
yet to be built. Boson sampling is a rudimentary quantum algorithm tailored to
the platform of photons in linear optics, which has sparked interest as a rapid
way to demonstrate this quantum supremacy. Photon statistics are governed by
intractable matrix functions known as permanents, which suggests that sampling
from the distribution obtained by injecting photons into a linear-optical
network could be solved more quickly by a photonic experiment than by a
classical computer. The contrast between the apparently awesome challenge faced
by any classical sampling algorithm and the apparently near-term experimental
resources required for a large boson sampling experiment has raised
expectations that quantum supremacy by boson sampling is on the horizon. Here
we present classical boson sampling algorithms and theoretical analyses of
prospects for scaling boson sampling experiments, showing that near-term
quantum supremacy via boson sampling is unlikely. While the largest boson
sampling experiments reported so far are with 5 photons, our classical
algorithm, based on Metropolised independence sampling (MIS), allowed the boson
sampling problem to be solved for 30 photons with standard computing hardware.
We argue that the impact of experimental photon losses means that demonstrating
quantum supremacy by boson sampling would require a step change in technology.Comment: 25 pages, 9 figures. Comments welcom
The BARRIERS scale -- the barriers to research utilization scale: A systematic review
<p>Abstract</p> <p>Background</p> <p>A commonly recommended strategy for increasing research use in clinical practice is to identify barriers to change and then tailor interventions to overcome the identified barriers. In nursing, the BARRIERS scale has been used extensively to identify barriers to research utilization.</p> <p>Aim and objectives</p> <p>The aim of this systematic review was to examine the state of knowledge resulting from use of the BARRIERS scale and to make recommendations about future use of the scale. The following objectives were addressed: To examine how the scale has been modified, to examine its psychometric properties, to determine the main barriers (and whether they varied over time and geographic locations), and to identify associations between nurses' reported barriers and reported research use.</p> <p>Methods</p> <p>Medline (1991 to September 2009) and CINHAL (1991 to September 2009) were searched for published research, and ProQuest<sup>® </sup>digital dissertations were searched for unpublished dissertations using the BARRIERS scale. Inclusion criteria were: studies using the BARRIERS scale in its entirety and where the sample was nurses. Two authors independently assessed the study quality and extracted the data. Descriptive and inferential statistics were used.</p> <p>Results</p> <p>Sixty-three studies were included, with most using a cross-sectional design. Not one study used the scale for tailoring interventions to overcome identified barriers. The main barriers reported were related to the setting, and the presentation of research findings. Overall, identified barriers were consistent over time and across geographic locations, despite varying sample size, response rate, study setting, and assessment of study quality. Few studies reported associations between reported research use and perceptions of barriers to research utilization.</p> <p>Conclusions</p> <p>The BARRIERS scale is a nonspecific tool for identifying general barriers to research utilization. The scale is reliable as reflected in assessments of internal consistency. The validity of the scale, however, is doubtful. There is no evidence that it is a useful tool for planning implementation interventions. We recommend that no further descriptive studies using the BARRIERS scale be undertaken. Barriers need to be measured specific to the particular context of implementation and the intended evidence to be implemented.</p
CCDC 881945: Experimental Crystal Structure Determination
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.,Related Article: A.N.Carolan, A.E.Mroz, M.E.Ojaimi, D.G.VanDerveer, R.P.Thummel, R.D.Hancock|2012|Inorg.Chem.|51|3007|doi:10.1021/ic202337
CCDC 928436: Experimental Crystal Structure Determination
Related Article: A.N.Carolan,G.M.Cockrell,N.J.Williams,Gang Zhang,D.G.VanDerveer,Hee-Seung Lee,R.P.Thummel,R.D.Hancock|2013|Inorg.Chem.|52|15|doi:10.1021/ic3002509,An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures
CCDC 928437: Experimental Crystal Structure Determination
Related Article: A.N.Carolan,G.M.Cockrell,N.J.Williams,Gang Zhang,D.G.VanDerveer,Hee-Seung Lee,R.P.Thummel,R.D.Hancock|2013|Inorg.Chem.|52|15|doi:10.1021/ic3002509,An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures
Metal-Ion-Complexing Properties of 2-(Pyrid-2′-yl)-1,10-phenanthroline, a More Preorganized Analogue of Terpyridyl. A Crystallographic, Fluorescence, and Thermodynamic Study
Some metal-ion-complexing properties of the ligand 2-(pyrid-2′-yl)-1,10-phenanthroline
(MPP) are reported. MPP is of interest in that it is a more preorganized
version of 2,2′;6,2″-terpyridine (tpy). Protonation
constants (p<i>K</i><sub>1</sub> = 4.60; p<i>K</i><sub>2</sub> = 3.35) for MPP were determined by monitoring the intense
π–π* transitions of 2 × 10<sup>–5</sup> M solutions of the ligand as a function of the pH at an ionic strength
of 0 and 25 °C. Formation constants (log <i>K</i><sub>1</sub>) at an ionic strength of 0 and 25 °C were obtained by
monitoring the π–π* transitions of MPP titrated
with solutions of the metal ion, or 1:1 solutions of MPP and the metal
ion were titrated with acid. Large metal ions such as Ca<sup>II</sup> or La<sup>III</sup> showed increases of log <i>K</i><sub>1</sub> of about 1.5 log units compared to that of tpy. Small metal
ions such as Zn<sup>II</sup> and Ni<sup>II</sup> showed little increase
in log <i>K</i><sub>1</sub> for MPP compared to the tpy
complexes, which is attributed to the presence of five-membered chelate
rings in the MPP complexes, which favor large metal ions. The structure
of [CdÂ(MPP)Â(H<sub>2</sub>O)Â(NO<sub>3</sub>)<sub>2</sub>] (<b>1</b>) is reported: monoclinic, <i>P</i>2<sub>1</sub>/<i>c</i>, <i>a</i> = 7.4940(13) Ã…, <i>b</i> = 12.165(2) Ã…, <i>c</i> = 20.557(4) Ã…, β
= 96.271(7)°, <i>V</i> = 1864.67(9) Å<sup>3</sup>, <i>Z</i> = 4, and final <i>R</i> = 0.0786.
The Cd in <b>1</b> is seven-coordinate, comprising the three
donor atoms of MPP, a coordinated water, a monodentate, and a bidentate
NO<sub>3</sub><sup>–</sup>. Cd<sup>II</sup> is a fairly large
metal ion, with <i>r</i><sup>+</sup> = 0.96 Ã…, slightly
too small for coordination with MPP. The effect of this size matching
in terms of the structure is discussed. Fluorescence spectra of 2
× 10<sup>–7</sup> M MPP in aqueous solution are reported.
The nonprotonated MPP ligand fluoresces only weakly, which is attributed
to a photoinduced-electron-transfer effect. The chelation-enhanced-fluorescence
(CHEF) effect induced by some metal ions is presented, and the trend
of the CHEF effect, which is Ca<sup>II</sup> > Zn<sup>II</sup> >
Cd<sup>II</sup> ∼ La<sup>III</sup> > Hg<sup>II</sup>, is
discussed
in terms of factors that control the CHEF effect, such as the heavy-atom
effect
Selectivity of the Highly Preorganized Tetradentate Ligand 2,9-Di(pyrid-2-yl)-1,10-phenanthroline for Metal Ions in Aqueous Solution, Including Lanthanide(III) Ions and the Uranyl(VI) Cation
Some metal ion complexing properties of DPP (2,9-DiÂ(pyrid-2-yl)-1,10-phenanthroline)
are reported with a variety of LnÂ(III) (LanthanideÂ(III)) ions and
alkali earth metal ions, as well as the uranylÂ(VI) cation. The intense
π–π* transitions in the absorption spectra of aqueous
solutions of 10<sup>–5</sup> M DPP were monitored as a function
of pH and metal ion concentration to determine formation constants
of the alkali-earth metal ions and LnÂ(III) (Ln = lanthanide) ions.
It was found that log <i>K</i><sub>1</sub>(DPP) for the
LnÂ(III) ions has a peak at LnÂ(III) = SmÂ(III) in a plot of log <i>K</i><sub>1</sub> versus 1/<i>r</i><sup>+</sup> (<i>r</i><sup>+</sup> = ionic radius for 8-coordination). For LnÂ(III)
ions larger than SmÂ(III), there is a steady rise in log <i>K</i><sub>1</sub> from LaÂ(III) to SmÂ(III), while for LnÂ(III) ions smaller
than SmÂ(III), log <i>K</i><sub>1</sub> decreases slightly
to the smallest LnÂ(III) ion, LuÂ(III). This pattern of variation of
log <i>K</i><sub>1</sub> with varying size of LnÂ(III) ion
was analyzed using MM (molecular mechanics) and DFT (density functional
theory) calculations. Values of strain energy (∑U) were calculated
for the [LnÂ(DPP)Â(H<sub>2</sub>O)<sub>5</sub>]<sup>3+</sup> and [LnÂ(qpy)Â(H<sub>2</sub>O)<sub>5</sub>]<sup>3+</sup> (qpy = quaterpyrdine) complexes
of all the LnÂ(III) ions. The ideal M–N bond lengths used for
the LnÂ(III) ions were the average of those found in the CSD (Cambridge
Structural Database) for the complexes of each of the LnÂ(III) ions
with polypyridyl ligands. Similarly, the ideal M–O bond lengths
were those for complexes of the LnÂ(III) ions with coordinated aqua
ligands in the CSD. The MM calculations suggested that in a plot of
∑U versus ideal M–N length, a minimum in ∑U occurred
at PmÂ(III), adjacent in the series to SmÂ(III). The significance of
this result is that (1) MM calculations suggest that a similar metal
ion size preference will occur for all polypyridyl-type ligands, including
those containing triazine groups, that are being developed as solvent
extractants in the separation of AmÂ(III) and LnÂ(III) ions in the treatment
of nuclear waste, and (2) AmÂ(III) is very close in M–N bond
lengths to PmÂ(III), so that an important aspect of the selectivity
of polypyridyl type ligands for AmÂ(III) will depend on the above metal
ion size-based selectivity. The selectivity patterns of DPP with the
alkali-earth metal ions shows a similar preference for CaÂ(II), which
has the most appropriate M–N lengths. The structures of DPP
complexes of ZnÂ(II) and BiÂ(III), as representative of a small and
of a large metal ion respectively, are reported. [ZnÂ(DPP)<sub>2</sub>]Â(ClO<sub>4</sub>)<sub>2</sub> (triclinic, <i>P</i>1, <i>R</i> = 0.0507) has a six-coordinate ZnÂ(II), with each of the
two DPP ligands having one noncoordinated pyridyl group appearing
to be π-stacked on the central aromatic ring of the other DPP
ligand. [BiÂ(DPP)Â(H<sub>2</sub>O)<sub>2</sub>(ClO<sub>4</sub>)<sub>2</sub>]Â(ClO<sub>4</sub>) (triclinic, <i>P</i>1, <i>R</i> = 0.0709) has an eight-coordinate Bi, with the coordination
sphere composed of the four N donors of the DPP ligand, two coordinated
water molecules, and the O donors of two unidentate perchlorates.
As is usually the case with BiÂ(III), there is a gap in the coordination
sphere that appears to be the position of a lone pair of electrons
on the other side of the Bi from the DPP ligand. The Bi-L bonds become
relatively longer as one moves from the side of the Bi containg the
DPP to the side where the lone pair is thought to be situated. A DFT
analysis of [LnÂ(tpy)Â(H<sub>2</sub>O)<sub><i>n</i></sub>]<sup>3+</sup> and [LnÂ(DPP)Â(H<sub>2</sub>O)<sub>5</sub>]<sup>3+</sup> complexes
is reported. The structures predicted by DFT are shown to match very
well with the literature crystal structures for the [LnÂ(tpy)Â(H<sub>2</sub>O)<sub><i>n</i></sub>]<sup>3+</sup> with Ln = La
and <i>n</i> = 6, and Ln = Lu with <i>n</i> =
5. This then gives one confidence that the structures for the DPP
complexes generated by DFT are accurate. The structures generated
by DFT for the [LnÂ(DPP)Â(H<sub>2</sub>O)<sub>5</sub>]<sup>3+</sup> complexes
are shown to agree very well with those generated by MM, giving one
confidence in the accuracy of the latter. An analysis of the DFT and
MM structures shows the decreasing O--O nonbonded distances as one
progresses from La to Lu, with these distances being much less than
the sum of the van der Waals radii for the smaller LnÂ(III) ions. The
effect that such short O--O nonbonded distances has on thermodynamic
complex stability and coordination number is then discussed
Housekeeping genes for phylogenetic analysis of eutherian relationships
The molecular relationship of placental mammals has attracted great interest in recent years. However, 2 crucial and conflicting hypotheses remain, one with respect to the position of the root of the eutherian tree and the other the relationship between the orders Rodentia, Lagomorpha (rabbits, hares), and Primates. Although most mitochondrial (mt) analyses have suggested that rodents have a basal position in the eutherian tree, some nuclear data in combination with mt-rRNA genes have placed the root on the so-called African clade or on a branch that includes this clade and the Xenarthra (e.g., anteater and armadillo). In order to generate a new and independent set of molecular data for phylogenetic analysis, we have established cDNA sequences from different tissues of various mammalian species. With this in mind, we have identified and sequenced 8 housekeeping genes with moderately fast rate of evolution from 22 placental mammals, representing I I orders. In order to determine the root of the eutherian tree, the same genes were also sequenced for 3 marsupial species, which were used as outgroup. Inconsistent with the analyses of nuclear + mt-rRNA gene data, the current data set did not favor a basal position of the African clade or Xenarthra in the eutherian tree. Similarly, by joining rodents and lagomorphs on the same basal branch (Glires hypothesis), the data set is also inconsistent with the tree commonly favored in mtDNA analyses. The analyses of the currently established sequences have helped examination of problematic parts in the eutherian tree at the same time as they caution against suggestions that have claimed that basal eutherian relationships have been conclusively settled