Automatic Grading of Programming Assignments

Solving practical problems is one of the important aspects of learning programming languages. But the assessment of programming problems is not straightforward. It involves time consuming and tedious steps required to compile and test the solution. In this project, I have developed a online tool, Javabrat that allows the students and language learners to practice Java and Scala problems. Javabrat automatically assesses the user\u27s program and provides the instant feedback to the user. The users can also contribute their own programming problems to the existing problem set. I have also developed a plugin for a learning management system, Moodle. This plugin allows the instructors to create the Java programming assignments in Moodle. The Moodle plugin also facilitates automatic grading of the Java problems

Entanglement generation in a quantum network at distance-independent rate

We develop a protocol for entanglement generation in the quantum internet that allows a repeater node to use $n$-qubit Greenberger-Horne-Zeilinger (GHZ) projective measurements that can fuse $n$ successfully-entangled {\em links}, i.e., two-qubit entangled Bell pairs shared across $n$ network edges, incident at that node. Implementing $n$-fusion, for $n \ge 3$, is in principle not much harder than $2$-fusions (Bell-basis measurements) in solid-state qubit memories. If we allow even $3$-fusions at the nodes, we find---by developing a connection to a modified version of the site-bond percolation problem---that despite lossy (hence probabilistic) link-level entanglement generation, and probabilistic success of the fusion measurements at nodes, one can generate entanglement between end parties Alice and Bob at a rate that stays constant as the distance between them increases. We prove that this powerful network property is not possible to attain with any quantum networking protocol built with Bell measurements and multiplexing alone. We also design a two-party quantum key distribution protocol that converts the entangled states shared between two nodes into a shared secret, at a key generation rate that is independent of the distance between the two parties

Mining Frequent Itemsets for Evolving Database Involving Insertion

Mining frequent itemsets is one of the popular task in data mining. There are many applications like location-based services, sensor monitoring systems, and data integration in which the content of transaction is uncertain in nature. This initiates the requirements of uncertain data mining. The frequent itemsets mining in uncertain transaction databases semantically and computationally differs from techniques applied to standard certain databases. The goal of proposed model is to deal with the problem of extracting frequent itemsets from evolving databases using Possible World Semantics (PWS). As evolving databases contains exponential number of possible worlds mining process can be modeled as Poisson Binomial Distribution (PBD). In this proposed work apriori-based PFI mining algorithm and approximate incremental mining algorithm are developed. An approximate incremental mining algorithm can efficiently and accurately discover frequent itemsets. Also, focus is on the issue of maintaining mining results for uncertain databases. DOI: 10.17762/ijritcc2321-8169.150615

Entanglement Routing over Networks with Time Multiplexed Repeaters

Quantum networks will be able to service consumers with long distance entanglement by use of repeater nodes that can both generate external Bell pairs with their neighbors, iid with probability $p$, as well as perform internal Bell State Measurements (BSMs) which succeed with some probability $q$. The actual values of these probabilities is dependent upon the experimental parameters of the network in question. While global link state knowledge is needed to maximize the rate of entanglement generation between any two consumers, this may be an unreasonable request due to the dynamic nature of the network. This work evaluates a local link state knowledge, multi-path routing protocol that works with time multiplexed repeaters that are able to perform BSMs across different time steps. This study shows that the average rate increases with the time multiplexing block length, $k$, although the initial latency also increases. When a step function memory decoherence model is introduced so that qubits are held in the quantum memory for a time exponentially distributed with mean $\mu$, an optimal $k$ ($k_\text{opt}$) value appears. As $p$ decreases or $\mu$ increases the value of $k_\text{opt}$ increases. This value is such that the benefits from time multiplexing are balanced with the increased risk of losing a previously established entangled pair.Comment: 11 pages, 15 figure

Blueprint for a Scalable Photonic Fault-Tolerant Quantum Computer

Photonics is the platform of choice to build a modular, easy-to-network quantum computer operating at room temperature. However, no concrete architecture has been presented so far that exploits both the advantages of qubits encoded into states of light and the modern tools for their generation. Here we propose such a design for a scalable and fault-tolerant photonic quantum computer informed by the latest developments in theory and technology. Central to our architecture is the generation and manipulation of three-dimensional hybrid resource states comprising both bosonic qubits and squeezed vacuum states. The proposal enables exploiting state-of-the-art procedures for the non-deterministic generation of bosonic qubits combined with the strengths of continuous-variable quantum computation, namely the implementation of Clifford gates using easy-to-generate squeezed states. Moreover, the architecture is based on two-dimensional integrated photonic chips used to produce a qubit cluster state in one temporal and two spatial dimensions. By reducing the experimental challenges as compared to existing architectures and by enabling room-temperature quantum computation, our design opens the door to scalable fabrication and operation, which may allow photonics to leap-frog other platforms on the path to a quantum computer with millions of qubits.Comment: 38 pages, many figures. Comments welcom

A Quantum Biomimetic Electronic Nose Sensor

Abstract We propose a technologically feasible one-dimensional double barrier resonant tunneling diode (RTD) as electronic nose, inspired by the vibration theory of biological olfaction. The working principle is phonon-assisted inelastic electron tunneling spectroscopy (IETS), modeled here using the Non-Equilibrium Green Function formalism for quantum transport. While standard IETS requires low-temperature operation to obviate the thermal broadening of spectroscopic peaks, we show that quantum confinement in the well of the RTD provides electron energy filtering in this case and could thereby allow room-temperature operation. We also find that the IETS peaks - corresponding to adsorbed foreign molecules - shift monotonically along the bias voltage coordinate with their vibrational energy, promising a selective sensor

Coherent manipulation of graph states composed of finite-energy Gottesman-Kitaev-Preskill-encoded qubits

Graph states are a central resource in measurement-based quantum information processing. In the photonic qubit architecture based on Gottesman-Kitaev-Preskill (GKP) encoding, the generation of high-fidelity graph states composed of realistic, finite-energy approximate GKP-encoded qubits thus constitutes a key task. We consider the finite-energy approximation of GKP qubit states given by a coherent superposition of shifted finite-squeezed vacuum states, where the displacements are Gaussian distributed. We present an exact description of graph states composed of such approximate GKP qubits as a coherent superposition of a Gaussian ensemble of randomly displaced ideal GKP-qubit graph states. We determine the transformation rules for the covariance matrix and the mean displacement vector of the Gaussian distribution of the ensemble under tools such as GKP-Steane error correction and fusion operations that can be used to grow large, high-fidelity GKP-qubit graph states. The former captures the noise in the graph state due to the finite-energy approximation of GKP qubits, while the latter relates to the possible absolute displacement errors on the individual qubits due to the homodyne measurements that are a part of these tools. The rules thus help in pinning down an exact coherent error model for graph states generated from truly finite-energy GKP qubits, which can shed light on their error correction properties.Comment: 17 pages. Comments are welcom

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Not AvailableGrape leaf, which is known for its nutritional and medicinal properties, is finding increased applications for cuisine and remedial purposes. This article reports a comprehensive analytical method for the identification and quantification of a broad range of pesticides and plant growth regulators (PGRs) in the grape leaf matrix. The sample preparation method for pesticides involved an optimized QuEChERS-based extraction protocol, with subsequent clean-up by the dispersive solid phase extraction (dSPE) using a mixture of sorbents (25 mg PSA + 5 mg GCB + 150 mg MgSO4). The PGRs were extracted with methanol. The performance of the method was investigated and validated for a mixture of 363 pesticides (148 in GC–MS/MS and 203 in LC–MS/MS) and 12 PGRs (LC–MS/MS) in compliance with the analytical quality control criteria of the SANTE/11813/2017 guidelines. The matrix effects were comparatively higher against grape berries. The findings indicated satisfactory recoveries at 10 ng/g and higher levels with precision RSDs less than 20%. This method has potential applications in commercial residue testing laboratories and also for the regulatory compliance check purposes for its lower LOQs compared to the corresponding EU-MRLs.Not Availabl

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Not AvailableCabbage (Brassica oleracea var. capitata) is a leafy vegetable grown as an annual crop in India. It comprised about 5.5% of the total vegetable production in the country with production of 9.04 MT from an approximate cultivated area of 0.04 million hectare [1]. The vegetable is consumed either as raw salad or by steaming or cooking it. It is an excellent source of vitamin B6, C and K and play an important role in lowering the blood cholesterol levels [2]. Export of cabbage from India has been showing an increasing trend since last few years, with major export destination being Pakistan, United Arab Emirates, Sri Lanka, Maldives and Nepal [1]. The sustainable production of cabbage is severely affected by leaf spot disease caused by Alternaria brassicae (Berk.) Sacc., both in India as well as in the global paradigm and the extent of damage is assessed to be around 3.1 to 70.0% [3, 4]. Lack of effective resistance genes in cabbage has limited the efficacy of resistance breeding in management of leaf spot disease [5] and hence chemical interventions via fungicides became the major arsenal to combat the disease. Several conventional fungicides have been recommended for the purpose [6, 7] but, limited control of the disease, resistance and environmental issues have brought to the fore the mandate to search for new and safer fungicides. This study was envisaged for evaluating the bioefficacy, understanding the residue dynamics, and assessing the safety of a combination fungicide involving methoxyimino acetate strobilurin compound viz. trifloxystrobin (methyl (E) - methoxyimino - [(E) - α - [1 - (α,α,α - trifluoro - mtolyl) ethylideneaminooxy] - o - tolyl]acetate) and a triazole compound viz. tebuconazole (1 - (4 - Chlorophenyl) - 4,4 - dimethyl - 3 - (1,2,4 - triazol - 1 - ylmethyl)pentan - 3 - ol) for two consecutive seasons against the leaf spot disease of cabbage. The residue dissipation behavior of these chemicals in the field conditions was also investigated to evaluate consumer safety. These chemicals do not have recommended pre - harvest intervals (PHIs) for cabbage due to lack of information regarding their residue dissipation kinetics under field conditions. This might result in apprehension of food safety issues associated with their usage for domestic consumption as well as export. To ensure food safety to the consumers, the residues of these chemicals in the European Union (EU) are regulated at the maximum residue limit (MRL) of 1.0 mg Kg - 1for tebuconazole and 0.5 mg Kg - 1for trifloxystrobin [8] and hence it is of profound importance to establish their individual PHI so as to minimize accumulation of their residues below the respective MRLs at the stage of harvest there by to ensure smooth trade and consumer safety.Not Availabl