Methods For Readout Research Articles

Exploring and Controlling Chemistry Using Quantum Logic.

Over the past years, the development of experimental techniques for the coherent manipulation and control of isolated quantum systems has made impressive progress. Such 'quantum-logic' methods are also highly attractive in a chemical context in view of unravelling and controlling the quantum dynamics of molecular collisions and chemical reactions. Quantum technologies have the potential to transform the way chemical dynamics are investigated - by providing highly sensitive methods for state readout and spectroscopy, by opening up new pathways for the quantum-state preparation of molecules and by enabling an improved control of their microscopic behavior on the single-particle level. However, for complex quantum systems like molecules, these techniques are still in their infancy and their considerable potential remains to be unlocked. The aim of the present research program supported by an Advanced Grant of the Swiss National Science Foundation is to merge the fields of quantum science and chemical dynamics by advancing quantum technologies to polyatomic molecular ions and by applying them to the study of ion-molecule collisions and chemical reactions. In this article, we review the salient experimental methods as well as prospects and challenges in the development of molecular quantum technologies and their applications to chemistry.

Theoretical investigation of charge transfer between the NV− center in diamond and substitutional N and P

The nitrogen-vacancy (NV) lattice defect in diamond, consisting of an N substitutional atom and an adjacent C vacancy, is commonly observed in two charge states, negative (NV−) and neutral (NV0). The NV− defect exhibits spin state-dependent fluorescence and is, therefore, amenable to optical methods for spin-state readout, while the NV0 is not. Hence, the NV− defect is much more useful for quantum sensing and quantum information processing. However, only NV0 electroluminescence has been observed, even from centers showing NV− in photoluminescence. In the present work, we use first-principles electronic structure calculations to determine adiabatic charge transition levels for the conversion of NV− to NV0 in the presence of substitutional N or P impurities, which provide the charge of the NV− center. We find that the adiabatic charge transition levels in the presence of such impurities lie at energies close to or lower than the zero-phonon line of the NV− center and that these energies only decrease as the concentration of N donors increases. This work, therefore, elucidates the absence of observed electroluminescence from the NV− and proposes a path toward observation of the phenomenon.

CRISPR-Cas enzymes: The toolkit revolutionizing diagnostics.

The programmable nature of sequence-specific targeting by CRISPR-Cas nucleases has revolutionized a wide range of genomic applications and is now emerging as a method for nucleic acid detection. We explore how the diversity of CRISPR systems and their fundamental mechanisms have given rise to a wave of new methods for target recognition and readout. These cross-disciplinary advances found at the intersection of CRISPR biology and engineering have led to the ability to rapidly generate solutions for emerging global challenges like the COVID-19 pandemic. We further discuss the advances and potential for CRISPR-based detection to have an impact across a continuum of diagnostic applications.

Robust and fast post-processing of single-shot spin qubit detection events with a neural network

Establishing low-error and fast detection methods for qubit readout is crucial for efficient quantum error correction. Here, we test neural networks to classify a collection of single-shot spin detection events, which are the readout signal of our qubit measurements. This readout signal contains a stochastic peak, for which a Bayesian inference filter including Gaussian noise is theoretically optimal. Hence, we benchmark our neural networks trained by various strategies versus this latter algorithm. Training of the network with 106 experimentally recorded single-shot readout traces does not improve the post-processing performance. A network trained by synthetically generated measurement traces performs similar in terms of the detection error and the post-processing speed compared to the Bayesian inference filter. This neural network turns out to be more robust to fluctuations in the signal offset, length and delay as well as in the signal-to-noise ratio. Notably, we find an increase of 7% in the visibility of the Rabi oscillation when we employ a network trained by synthetic readout traces combined with measured signal noise of our setup. Our contribution thus represents an example of the beneficial role which software and hardware implementation of neural networks may play in scalable spin qubit processor architectures.

Nanoparticle- and microparticle-based luminescence imaging of chemical species and temperature in aquatic systems: a review.

Most aquatic systems rely on a multitude of biogeochemical processes that are coupled with each other in a complex and dynamic manner. To understand such processes, minimally invasive analytical tools are required that allow continuous, real-time measurements of individual reactions in these complex systems. Optical chemical sensors can be used in the form of fiber-optic sensors, planar sensors, or as micro- and nanoparticles (MPs and NPs). All have their specific merits, but only the latter allow for visualization and quantification of chemical gradients over 3D structures. This review (with 147 references) summarizes recent developments mainly in the field of optical NP sensors relevant for chemical imaging in aquatic science. The review encompasses methods for signal read-out and imaging, preparation of NPs and MPs, and an overview of relevant MP/NP-based sensors. Additionally, examples of MP/NP-based sensors in aquatic systems such as corals, plant tissue, biofilms, sediments and water-sediment interfaces, marine snow and in 3D bioprinting are given. We also address current challenges and future perspectives of NP-based sensing in aquatic systems in a concluding section. Graphical abstract ᅟ.

Methods for data readout, acquisition, and transfer in experimental nuclear physics setups (A review, part 2)

The aim of this review is to provide, whenever possible, a complete picture of the evolution of methods and systems for data readout, acquisition, and transfer at experimental nuclear physics setups over recent years for specialists who use electronics in experiments or measurements in applied research. In view of the large body of information, this review is divided into two parts; medium (according to the contemporary measures) and large systems for nuclear physics setups and accelerator experiments are considered in this, the second, part. Both parts have a common classification table and common numbering of cited papers and figures.

Methods for data readout, acquisition, and transfer in experimental nuclear physics setups (A Review, Part 1)

The aim of this review is to provide, whenever possible, a complete picture of the evolution of methods and systems for data readout, acquisition, and transfer at experimental nuclear physics setups over recent years for specialists who use electronics in experiments or measurements in applied research. In view of the large body of information this review is divided into two parts; small and geographically distributed systems are mainly considered in the first part. Both parts have a common classification table and common numbering of cited papers and figures.

Quantum Algorithmic Readout in Multi-Ion Clocks.

Optical clocks based on ensembles of trapped ions promise record frequency accuracy with good short-term stability. Most suitable ion species lack closed transitions, so the clock signal must be read out indirectly by transferring the quantum state of the clock ions to cotrapped logic ions of a different species. Existing methods of quantum logic readout require a linear overhead in either time or the number of logic ions. Here we describe a quantum algorithmic readout whose overhead scales logarithmically with the number of clock ions in both of these respects. The scheme allows a quantum nondemolition readout of the number of excited clock ions using a single multispecies gate operation which can also be used in other areas of ion trap technology such as quantum information processing, quantum simulations, metrology, and precision spectroscopy.

ChemInform Abstract: Fluorescent Photochromes of Diarylethene Series: Synthesis and Properties

AbstractReview: 216 refs.

Expanding the Use of Fluorogenic Enzyme Reporter Substrates to Imaging Metabolic Flux Changes: the Activity Measurement of 5α-Steroid Reductase in Intact Mammalian Cells

The study of dynamic properties of metabolic and signaling networks is hindered by the lack of methods for imaging metabolic fluxes in individual intact cells. We describe a novel optical approach for measuring the changes of metabolic fluxes in cells, based on a two-substrate competition between a physiological substrate and a fluorogenic reporter substrate. We have constructed a model cell system for a two-step metabolic pathway involved in the metabolism of testosterone. Potent androgen testosterone is converted by steroid 5α-reductase to DHT (5α-dihydrotestosterone), which is subsequently metabolized to 3α-diol (3α,17β-androstanediol) by the reductase AKR1C2 (aldo-ketoreductase 1C2), for which we have previously developed the fluorogenic reporter substrate Coumberone. Despite the medicinal importance of 5α-reductase, there are presently no probes or methods for the continuous activity readout of this enzyme in cells. We show that the activity of 5α-R1 (5α-reductase type 1) can be measured in COS-1 cells via the changes of DHT flux. Our system enables a measurement of 5α-reductase activity in cells, via either fluorimetry or fluorescence microscopy, with a wide dynamic range of activities, and provides a continuous optical assay for evaluation of small molecule inhibitors for this important enzyme. Furthermore, this paper demonstrates a novel optical approach to measuring metabolic flux changes in living cells and expands the utility of fluorogenic enzyme reporter substrates: optical reporters can measure not only the activity of the target enzyme but also the activity of other enzymes upstream in the pathway, for which there are no probes available.

Focused Ion Beam NanoSQUIDs as Novel NEMS Resonator Readouts

Nano electromechanical systems (NEMS) represent an important new class of device with wide ranging applications. In this paper we report proposals and calculations for novel methods for excitation and readout of cantilever-style NEMS resonators which are applicable over a wide temperature range. We suggest a Lorentz force-based excitation method and discuss an ultrasensitive readout provided by a nanoSQUID, where the cantilever vibration modulates the inductance of the nanoSQUID loop, allowing potentially sub-picometer amplitude sensitivity to be achieved.

Ultrafast optical rotations of electron spins in quantum dots

Coherent manipulation of quantum bits (qubits) on time scales much shorter than the coherence time is a key prerequisite for quantum information processing. Electron spins in quantum dots (QDs) are particularly attractive for implementations of qubits. Efficient optical methods for initialization and readout of spins have been developed in recent years. Spin coherence times in the microsecond range have been demonstrated, so that spin control by picosecond optical pulses would be highly desirable. Then a large number of spin rotations could be performed while coherence is maintained. A major remaining challenge is demonstration of such rotations with high fidelity. Here we use an ensemble of QD electron spins focused into a small number of precession modes about a magnetic field by periodic optical pumping. We demonstrate ultrafast optical rotations of spins about arbitrary axes on a picosecond time scale using laser pulses as control fields.

Biocompatible Writing of Data into DNA

A simple DNA-based data storage scheme is demonstrated in which information is written using "addressing" oligonucleotides. In contrast to other methods that allow arbitrary code to be stored, the resulting DNA is suitable for downstream enzymatic and biological processing. This capability is crucial for DNA computers, and may allow for a diverse array of computational operations to be carried out using this DNA. Although here we use gel-based methods for information readout, we also propose more advanced methods involving protein/DNA complexes and atomic force microscopy/nano-pore schemes for data readout.

Fiber-optic monitoring coupled with confocal microscopy for imaging gene expression in vitro and in vivo

Detection of fluorescent signals in living cells is a common and powerful technique used to monitor gene expression for multiple biomedical applications. A disadvantage of this approach in vivo, is the limited accessibility for long-term monitoring of the fluorescent signals within organs in living animals. Because of the multiple applications of gene expression monitoring through fluorescent signals, innovative methods for readout are required. We developed a strategy combining gene transfer, fiber-optic or endoscope monitoring, and confocal microscopy for the brain interstitial or cavitary endoscopic visualization of the efficacy of gene delivery and expression in vivo. The approach is also effective in vitro and can be applied to multiple organs in vivo. We show an example of the detection of green fluorescent protein (GFP)-emitted fluorescence following the administration of recombinant GFP-expressing adenovirus or implantation of rat C6 glioblastoma cells infected with the recombinant GFP adenovirus into the rat hippocampus of chronically cannulated rats. The results show that fiber-optic monitoring coupled with confocal microscopy in gene transfer studies is a practical approach that results in a direct, efficient, rapid, and sensitive visualization of fluorescent signals in the brain. This allows for the continuous real-time in vitro or in vivo brain monitoring of gene expression, accurate anatomical localization, multiple experimental manipulations in the same subject or preparation, while no sacrifice of the animal is required to monitor the efficacy of gene transfer and/or expression.

Recent Developments in Spark Chambers

The parallel developments of a variety of spark-chamber schemes have produced many workable systems with success in experimental applications. Major efforts have developed several methods for direct electrical readout of spark-chamber data. These include the use of magnetic cores for direct digitizing of information from wire spark chambers, as well as the use of Vidicon cameras to observe sparks, and of current division and acoustic transit time in analogue devices to measure spark position. For such systems the on-line use of computers, and (or) the construction of significant electrical interfacing circuitry, are important considerations in efforts to maximize the event rate. Conventional spark-chamber systems using film to record data have benefited from the continued development of automatic off-line scanning and measuring systems. There are also many experiments that will use the unique capabilities of wide-gap spark and streamer chambers.