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"gates"
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Top of the class (nearly)
\"How does this kid genius stay on top? Find out - and don't be shy about laughing like a raving looniac too! Doodle hero Tom Gates is sharing his tips for success. Want to be like him? Just follow these simple rules. 1. Stay awake in lessons (it helps). 2. Don't draw HILARIOUS pictures of your teachers. 3. AVOID the class bully. 4. NEVER let Mum and Dad touch your school planner. 5. Don't let your grumpy sister BOSS you about. OK: Tom didn't exactly follow his own rules. But he still rules the world (even if Mr Fullerman won't admit it). Can Tom get voted onto the school council, and finally be KING of his class? \"--Https://shop.scholastic.co.uk.
Book
Novel Quantum-Dot Cellular Automata-Based Gate Designs for Efficient Reversible Computing
Reversible logic enables ultra-low power circuit design and quantum computation. Quantum-dot Cellular Automata (QCA) is the most promising technology considered to implement reversible circuits, mainly due to the correspondence between features of reversible and QCA circuits. This work aims to push forward the state-of-the-art of the QCA-based reversible circuits implementation by proposing a novel QCA design of a reversible full adder subtractor (FA). At first, we consider an efficient XOR-gate, and based on this, new QCA circuit layouts of Feynman, Toffoli, Peres, PQR, TR, RUG, URG, RQCA, and RQG are proposed. The efficient XOR gate significantly reduces the required clock phases and circuit area. As a result, all the proposed reversible circuits are efficient regarding cell count, delay, and circuit area. Finally, based on the presented reversible gates, a novel QCA design of a reversible full adder subtractor (FA) is proposed. Compared to the state-of-the-art circuits, the proposed QCA design of FA reversible circuit achieved up to 57% area savings, with 46% and 29% reduction in cell number and delay, respectively.
Journal Article
Subthreshold Analytical Model of Asymmetric Gate Stack Triple Metal Gate all Around MOSFET (AGSTMGAAFET) for Improved Analog Applications
In this paper, we have proposed a 2D analytical model for Asymmetric gate stack triple metal gate MOSFET(AGSTMGAAFET) and performed a comparative analysis with the simulation results obtained using the SILVACO 3D simulation software. Existing devices such as gate all around single metal (SMGAAFET), gate all around triple metal (TMGAAFET), gate stack single metal (GSSMGAAFET), gate stack triple metal (GSTMGAAFET) and asymmetric gate stack single metal (AGSTMGAAFET) have been compared with our proposed structure AGSTMGAAFET. Our device provides excellent performance in terms of drain current, transconductance, output conductance, current gain, maximum transducer power gain which shows our device’s suitability for various analog applications moreover the potential and electric field plots obtained have twostep profile and extremely low electric field near the drain region which ordains our device with the ability to suppress various SCE’s like DIBL and hot-carrier effect. The analytical model and simulation results show good convergence in values which validate the correctness of the proposed model.
Journal Article
Happy to help (eventually)
\"A feel-good, laugh-out-loud, packed-with-pictures Tom Gates story! It's Tidy Up Saturday, but Tom is very busy relaxing and not helping out much. Until he spots the art box of his dreams in a shop window and everything changes. He's suddenly focused on earning extra pocket money and helping with everything. But nothing quite goes to plan. Washing and shrinking Delia's clothes isn't a good start. And the hours spent carefully cleaning cars with Derek are ruined overnight when a storm hits Oakfield Town, causing even more chaos. At this rate it's going to take a million years for Tom to get the art box of his dreams ... or will it?\"--Publisher's description.
Book
Bill Gates says U.S. ‘abruptly and cruelly’ made aid cuts
In an interview at Davos, Bill Gates spoke about the impact of U.S. funding cuts on childhood mortality.
Streaming Video
Random acts of fun
The top-of-the-class, extra special new bestseller from multi-million copy selling author and illustrator Liz Pichon. A laugh-out-loud, packed-with-pictures Tom Gates story! Oh no! Tom's stuck at home with a fractured ankle and it's spoiling his fun. Doodling on his plaster cast helps to pass the time, along with visits from family (with treats), friends and even Rooster managing to sneak in. Tom remembers other fun times he's had, like metal detecting with Uncle Kevin and the cousins or inventing a new secret language with Derek. But only ONE thing will cheer Tom up: a caramel doughnut from the new bakery... trouble is, every other kid in town keeps getting there before him! ABOUT THE SERIES: Written in diary form Every page STUFFED full of laughs, stories, doodles and creative FUN The Brilliant World of Tom Gates was the winner of the Roald Dahl Funny Prize! Perfect gifts for boys & girls who love to laugh themselves silly Don't miss Shoe Wars - the epic standalone by Liz Pichon.
Book
Generalization in quantum machine learning from few training data
Modern quantum machine learning (QML) methods involve variationally optimizing a parameterized quantum circuit on a training data set, and subsequently making predictions on a testing data set (i.e., generalizing). In this work, we provide a comprehensive study of generalization performance in QML after training on a limited number
N
of training data points. We show that the generalization error of a quantum machine learning model with
T
trainable gates scales at worst as
T
/
N
. When only
K
≪
T
gates have undergone substantial change in the optimization process, we prove that the generalization error improves to
K
/
N
. Our results imply that the compiling of unitaries into a polynomial number of native gates, a crucial application for the quantum computing industry that typically uses exponential-size training data, can be sped up significantly. We also show that classification of quantum states across a phase transition with a quantum convolutional neural network requires only a very small training data set. Other potential applications include learning quantum error correcting codes or quantum dynamical simulation. Our work injects new hope into the field of QML, as good generalization is guaranteed from few training data.
The power of quantum machine learning algorithms based on parametrised quantum circuits are still not fully understood. Here, the authors report rigorous bounds on the generalisation error in variational QML, confirming how known implementable models generalize well from an efficient amount of training data.
Journal Article
Epic adventure (kind of)
Having two sets of grandparents is turning out to be very good for me. The Wrinklies are keen of giving presents and they're planning a family outing which is going to be epic! Even Delia wants to come.
Book
Decompositions of n-qubit Toffoli Gates with Linear Circuit Complexity
Toffoli gates are natural elements for the circuit model based quantum computation. We investigate general resource requirements for arbitrary n-qubit Toffoli gate. These resources consist of the nontrivial Clifford gate (CNOT), non-Clifford gate (T gate), ancillary qubits, and circuit depth. To implement n-qubit Toffoli gates, we consider two cases: only one auxiliary qubit and unlimited auxiliary qubits. The key of the first case is to decompose an n-qubit Toffoli gate into the reduced Toffoli gate modulo phase shift using the Clifford gates and one ancillary qubit. With this construction, it only requires O(n) number of general resources for an n-qubit Toffoli gate. For the second case, an approximate Toffoli gate is constructed to obtain efficient decomposition of a Toffoli gate. The new decomposition can further reduce general resources except auxiliary qubits.
Journal Article