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"Trainer, M"
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A cryogenic CMOS chip for generating control signals for multiple qubits
2021
Scaled-up quantum computers will require control interfaces capable of the manipulation and readout of large numbers of qubits, which usually operate at millikelvin temperatures. Advanced complementary metal–oxide–semiconductor (CMOS) technology is an attractive platform for delivering such interfaces. However, this approach is generally discounted due to its high power dissipation, which can lead to the heating of fragile qubits. Here we report a CMOS-based platform that can provide multiple electrical signals for the control of qubits at 100 mK. We demonstrate a chip that is configured by digital input signals at room temperature and uses on-chip circuit cells that are based on switched capacitors to generate static and dynamic voltages for the parallel control of qubits. We use our CMOS chip to bias a quantum dot device and to switch the conductance of a quantum dot via voltage pulses generated on the chip. Based on measurements from six cells, we determine the average power dissipation for generating control pulses of 100 mV to be 18 nW per cell. We estimate that a scaled-up system containing a thousand cells could be cooled by a commercially available dilution refrigerator.
A platform based on complementary metal–oxide–semiconductor (CMOS) technology operating with qubits close to 100 mK can generate static and dynamic signals for the control of many qubits.
Journal Article
Transition from high- to low-NOx control of night-time oxidation in the southeastern US
by
Edwards, P. M.
,
Kaiser, J.
,
Warneke, C.
in
704/172/169/824
,
704/172/4081
,
Anthropogenic factors
2017
The influence of nitrogen oxides (NO
x
) on daytime atmospheric oxidation cycles is well known, with clearly defined high- and low-NO
x
regimes. During the day, oxidation reactions—which contribute to the formation of secondary pollutants such as ozone—are proportional to NO
x
at low levels, and inversely proportional to NO
x
at high levels. Night-time oxidation of volatile organic compounds also influences secondary pollutants but lacks a similar clear definition of high- and low-NO
x
regimes, even though such regimes exist. Decreases in anthropogenic NO
x
emissions in the US and Europe coincided with increases in Asia over the last 10 to 20 years, and have altered both daytime and nocturnal oxidation cycles. Here we present measurements of chemical species in the lower atmosphere from day- and night-time research flights over the southeast US in 1999 and 2013, supplemented by atmospheric chemistry simulations. We find that night-time oxidation of biogenic volatile organic compounds (BVOC) is NO
x
-limited when the ratio of NO
x
to BVOC is below approximately 0.5, and becomes independent of NO
x
at higher ratios. The night-time ratio of NO
x
to BVOC in 2013 averaged 0.6 aloft. We suggest that night-time oxidation in the southeast US is in transition between NO
x
-dominated and ozone-dominated.
The influence of NO
x
levels at night on atmospheric oxidation is unclear. Analyses of aircraft observations suggest that night-time oxidation is transitioning from a high- to low-NO
x
regime in the southeast US due to declines in NO
x
levels.
Journal Article
Understanding high wintertime ozone pollution events in an oil- and natural gas-producing region of the western US
by
Helmig, D.
,
Edwards, P. M.
,
Williams, E. J.
in
Air pollution
,
Air quality
,
Computer simulation
2015
Recent increases in oil and natural gas (NG) production throughout the western US have come with scientific and public interest in emission rates, air quality and climate impacts related to this industry. This study uses a regional-scale air quality model (WRF-Chem) to simulate high ozone (O3) episodes during the winter of 2013 over the Uinta Basin (UB) in northeastern Utah, which is densely populated by thousands of oil and NG wells. The high-resolution meteorological simulations are able qualitatively to reproduce the wintertime cold pool conditions that occurred in 2013, allowing the model to reproduce the observed multi-day buildup of atmospheric pollutants and the accompanying rapid photochemical ozone formation in the UB. Two different emission scenarios for the oil and NG sector were employed in this study. The first emission scenario (bottom-up) was based on the US Environmental Protection Agency (EPA) National Emission Inventory (NEI) (2011, version 1) for the oil and NG sector for the UB. The second emission scenario (top-down) was based on estimates of methane (CH4) emissions derived from in situ aircraft measurements and a regression analysis for multiple species relative to CH4 concentration measurements in the UB. Evaluation of the model results shows greater underestimates of CH4 and other volatile organic compounds (VOCs) in the simulation with the NEI-2011 inventory than in the case when the top-down emission scenario was used. Unlike VOCs, the NEI-2011 inventory significantly overestimates the emissions of nitrogen oxides (NOx), while the top-down emission scenario results in a moderate negative bias. The model simulation using the top-down emission case captures the buildup and afternoon peaks observed during high O3 episodes. In contrast, the simulation using the bottom-up inventory is not able to reproduce any of the observed high O3 concentrations in the UB. Simple emission reduction scenarios show that O3 production is VOC sensitive and NOx insensitive within the UB. The model results show a disproportionate contribution of aromatic VOCs to O3 formation relative to all other VOC emissions. The model analysis reveals that the major factors driving high wintertime O3 in the UB are shallow boundary layers with light winds, high emissions of VOCs from oil and NG operations compared to NOx emissions, enhancement of photolysis fluxes and reduction of O3 loss from deposition due to snow cover.
Journal Article
Increasing springtime ozone mixing ratios in the free troposphere over western North America
2010
America's ozone imports
Anthropogenic emissions of ozone precursors, chiefly nitrogen oxides and volatile organic compounds, have caused widespread increases in lower-atmosphere concentrations of ozone since the late 1800s. In the lowermost part of the atmosphere ozone is a greenhouse gas that can have detrimental effects on plant and animal life. At present East Asia has the fastest rate of growth in such emissions and much of its pollution is exported towards North America. A compilation of springtime ozone measurements from across western North America now provides evidence for a strong increase in ozone mixing ratios during 1995–2008. The rate of increase in ozone mixing ratio is greatest when measurements are more heavily influenced by direct transport from Asia. This phenomenon, previously suspected but not confirmed, may make it more difficult for the United States to meet its own ozone air quality standard.
High concentrations of ozone in the troposphere are toxic and act as a greenhouse gas. Anthropogenic emissions of ozone precursors have caused widespread increases in ozone concentrations since the late 1800s, with the fastest-growing ozone precursor emissions currently coming out of east Asia. Much of the springtime east Asian pollution is exported towards western North America; a strong increase in springtime ozone mixing ratios is now found in the free troposphere over this region.
In the lowermost layer of the atmosphere—the troposphere—ozone is an important source of the hydroxyl radical, an oxidant that breaks down most pollutants and some greenhouse gases
1
. High concentrations of tropospheric ozone are toxic, however, and have a detrimental effect on human health and ecosystem productivity
1
. Moreover, tropospheric ozone itself acts as an effective greenhouse gas
2
. Much of the present tropospheric ozone burden is a consequence of anthropogenic emissions of ozone precursors
3
resulting in widespread increases in ozone concentrations since the late 1800s
3
,
4
,
5
,
6
,
7
. At present, east Asia has the fastest-growing ozone precursor emissions
8
. Much of the springtime east Asian pollution is exported eastwards towards western North America
9
. Despite evidence that the exported Asian pollution produces ozone
10
, no previous study has found a significant increase in free tropospheric ozone concentrations above the western USA since measurements began in the late 1970s
5
,
11
,
12
. Here we compile springtime ozone measurements from many different platforms across western North America. We show a strong increase in springtime ozone mixing ratios during 1995–2008 and we have some additional evidence that a similar rate of increase in ozone mixing ratio has occurred since 1984. We find that the rate of increase in ozone mixing ratio is greatest when measurements are more heavily influenced by direct transport from Asia. Our result agrees with previous modelling studies, which indicate that global ozone concentrations should be increasing during the early part of the twenty-first century as a result of increasing precursor emissions, especially at northern mid-latitudes
13
, with western North America being particularly sensitive to rising Asian emissions
14
. We suggest that the observed increase in springtime background ozone mixing ratio may hinder the USA’s compliance with its ozone air quality standard.
Journal Article
A volatility basis set model for summertime secondary organic aerosols over the eastern United States in 2006
2012
A new secondary organic aerosol (SOA) parameterization based on the volatility basis set is implemented in a regional air quality model WRF‐CHEM. Full meteorological and chemistry simulations are carried out for the United States for August–September 2006. Predicted organic aerosol (OA) concentrations are compared against surface measurements made by several networks and aircraft data from the TexAQS‐2006 field campaign. Elemental carbon simulations are also evaluated in order to evaluate the model's ability to capture their emissions, transport, and removal. Certain measurement limitations, such as daily averaged OA concentrations, impose some difficulties on the model evaluation, and hourly averaged OA measurements provide more informative constraints compared to daily concentrations. The updated model demonstrates a significant improvement in simulating the OA concentrations compared to the standard WRF‐CHEM, which predicts very little SOA. The improvement in organic carbon (OC) predictions is noticeable in correlations and model bias. The correlations of OC exceed that of the persistence forecasts for hourly concentrations in the southeast United States during daytime. The updated traditional SOA yields still lead to an underestimation of observed OA, while addition of the multigenerational volatile organic compound (VOC) oxidation drastically improves model performance. However, several key uncertainties remain in SOA formation and loss mechanisms, which are characterized through several perturbation simulations. Dry deposition of VOC oxidation products is an important factor in the atmospheric SOA budget. The combination of the biogenic VOC emissions, updated SOA yields, and aging mechanism result in biogenic SOA being the dominant OA component for much of the nonurban United States. Key Points VBS approach to secondary organic aerosol formation within WRF‐CHEM Evaluation using surface and aircraft data Organic aerosol modeling for the continental United States
Journal Article
The glyoxal budget and its contribution to organic aerosol for Los Angeles, California, during CalNex 2010
2011
Recent laboratory and field studies have indicated that glyoxal is a potentially large contributor to secondary organic aerosol mass. We present in situ glyoxal measurements acquired with a recently developed, high sensitivity spectroscopic instrument during the CalNex 2010 field campaign in Pasadena, California. We use three methods to quantify the production and loss of glyoxal in Los Angeles and its contribution to organic aerosol. First, we calculate the difference between steady state sources and sinks of glyoxal at the Pasadena site, assuming that the remainder is available for aerosol uptake. Second, we use the Master Chemical Mechanism to construct a two‐dimensional model for gas‐phase glyoxal chemistry in Los Angeles, assuming that the difference between the modeled and measured glyoxal concentration is available for aerosol uptake. Third, we examine the nighttime loss of glyoxal in the absence of its photochemical sources and sinks. Using these methods we constrain the glyoxal loss to aerosol to be 0–5 × 10−5 s−1 during clear days and (1 ± 0.3) × 10−5 s−1 at night. Between 07:00–15:00 local time, the diurnally averaged secondary organic aerosol mass increases from 3.2 μg m−3 to a maximum of 8.8 μg m−3. The constraints on the glyoxal budget from this analysis indicate that it contributes 0–0.2 μg m−3 or 0–4% of the secondary organic aerosol mass. Key Points We used a new field instrument to measure glyoxal in Los Angeles during 2010 We constrain glyoxal contribution to aerosol using three methods During daytime, glyoxal contributes 0–4% of secondary organic aerosol mass
Journal Article
The imprint of atmospheric evolution in the D/H of Hesperian clay minerals on Mars
2015
The deuterium-to-hydrogen (D/H) ratio in strongly bound water or hydroxyl groups in ancient martian clays retains the imprint of the water of formation of these minerals. Curiosity's Sample Analysis at Mars (SAM) experiment measured thermally evolved water and hydrogen gas released between 550° and 950°C from samples of Hesperian-era Gale crater smectite to determine this isotope ratio. The D/H value is 3.0 (±0.2) times the ratio in standard mean ocean water. The D/H ratio in this ∼3-billion-year-old mudstone, which is half that of the present martian atmosphere but substantially higher than that expected in very early Mars, indicates an extended history of hydrogen escape and desiccation of the planet.
Journal Article
Evaluation of urban surface parameterizations in the WRF model using measurements during the Texas Air Quality Study 2006 field campaign
by
Lee, S.-H.
,
Trainer, M.
,
Angevine, W. M.
in
Air quality
,
Air temperature
,
Atmospheric boundary layer
2011
The performance of different urban surface parameterizations in the WRF (Weather Research and Forecasting) in simulating urban boundary layer (UBL) was investigated using extensive measurements during the Texas Air Quality Study 2006 field campaign. The extensive field measurements collected on surface (meteorological, wind profiler, energy balance flux) sites, a research aircraft, and a research vessel characterized 3-dimensional atmospheric boundary layer structures over the Houston-Galveston Bay area, providing a unique opportunity for the evaluation of the physical parameterizations. The model simulations were performed over the Houston metropolitan area for a summertime period (12–17 August) using a bulk urban parameterization in the Noah land surface model (original LSM), a modified LSM, and a single-layer urban canopy model (UCM). The UCM simulation compared quite well with the observations over the Houston urban areas, reducing the systematic model biases in the original LSM simulation by 1–2 °C in near-surface air temperature and by 200–400 m in UBL height, on average. A more realistic turbulent (sensible and latent heat) energy partitioning contributed to the improvements in the UCM simulation. The original LSM significantly overestimated the sensible heat flux (~200 W m−2) over the urban areas, resulting in warmer and higher UBL. The modified LSM slightly reduced warm and high biases in near-surface air temperature (0.5–1 °C) and UBL height (~100 m) as a result of the effects of urban vegetation. The relatively strong thermal contrast between the Houston area and the water bodies (Galveston Bay and the Gulf of Mexico) in the LSM simulations enhanced the sea/bay breezes, but the model performance in predicting local wind fields was similar among the simulations in terms of statistical evaluations. These results suggest that a proper surface representation (e.g. urban vegetation, surface morphology) and explicit parameterizations of urban physical processes are required for accurate urban atmospheric numerical modeling.
Journal Article
Reduced emissions of CO2, NOx, and SO2 from U.S. power plants owing to switch from coal to natural gas with combined cycle technology
by
Trainer, M.
,
Frost, G. J.
,
de Gouw, J. A.
in
Air quality
,
Carbon dioxide emissions
,
CO2 emissions
2014
Since 1997, an increasing fraction of electric power has been generated from natural gas in the United States. Here we use data from continuous emission monitoring systems (CEMS), which measure emissions at the stack of most U.S. electric power generation units, to investigate how this switch affected the emissions of CO2, NOx, and SO2. Per unit of energy produced, natural gas power plants equipped with combined cycle technology emit on an average 44% of the CO2 compared with coal power plants. As a result of the increased use of natural gas, CO2 emissions from U.S. fossil‐fuel power plants were 23% lower in 2012 than they would have been if coal had continued to provide the same fraction of electric power as in 1997. In addition, natural gas power plants with combined cycle technology emit less NOx and far less SO2 per unit of energy produced than coal power plants. Therefore, the increased use of natural gas has led to emission reductions of NOx (40%) and SO2 (44%), in addition to those obtained from the implementation of emission control systems on coal power plants. These benefits to air quality and climate should be weighed against the increase in emissions of methane, volatile organic compounds, and other trace gases that are associated with the production, processing, storage, and transport of natural gas. Key Points Adding natural gas power plants in the United States reduced CO2 emissions by 23% Concurrent reductions of NOx and SO2 emissions were 40% and 44%, respectively Natural gas has air quality and climate benefits over coal for power generation
Journal Article
Top-down estimate of surface flux in the Los Angeles Basin using a mesoscale inverse modeling technique: assessing anthropogenic emissions of CO, NOx and CO2 and their impacts
2013
We present top-down estimates of anthropogenic CO, NOx and CO2 surface fluxes at mesoscale using a Lagrangian model in combination with three different WRF model configurations, driven by data from aircraft flights during the CALNEX campaign in southern California in May–June 2010. The US EPA National Emission Inventory 2005 (NEI 2005) was the prior in the CO and NOx inversion calculations. The flux ratio inversion method, based on linear relationships between chemical species, was used to calculate the CO2 inventory without prior knowledge of CO2 surface fluxes. The inversion was applied to each flight to estimate the variability of single-flight-based flux estimates. In Los Angeles (LA) County, the uncertainties on CO and NOx fluxes were 10% and 15%, respectively. Compared with NEI 2005, the CO posterior emissions were lower by 43% in LA County and by 37% in the South Coast Air Basin (SoCAB). NOx posterior emissions were lower by 32% in LA County and by 27% in the SoCAB. NOx posterior emissions were 40% lower on weekends relative to weekdays. The CO2 posterior estimates were 183 Tg yr−1 in SoCAB. A flight during ITCT (Intercontinental Transport and Chemical Transformation) in 2002 was used to estimate emissions in the LA Basin in 2002. From 2002 to 2010, the CO and NOx posterior emissions decreased by 41% and 37%, respectively, in agreement with previous studies. Over the same time period, CO2 emissions increased by 10% in LA County but decreased by 4% in the SoCAB, a statistically insignificant change. Overall, the posterior estimates were in good agreement with the California Air Resources Board (CARB) inventory, with differences of 15% or less. However, the posterior spatial distribution in the basin was significantly different from CARB for NOx emissions. WRF-Chem mesoscale chemical-transport model simulations allowed an evaluation of differences in chemistry using different inventory assumptions, including NEI 2005, a gridded CARB inventory and the posterior inventories derived in this study. The biases in WRF-Chem ozone were reduced and correlations were increased using the posterior from this study compared with simulations with the two bottom-up inventories, suggesting that improving the spatial distribution of ozone precursor surface emissions is also important in mesoscale chemistry simulations.
Journal Article