نتایج جستجو برای: circuit analysis computing
تعداد نتایج: 3226844 فیلتر نتایج به سال:
In this paper, a new voltage controlled first order all-pass filter is presented. The proposed circuit employs a single differential voltage dual-X second generation current conveyor (DV-DXCCII) and a grounded capacitor only. The proposed all-pass filter provides both inverting and non inverting voltage-mode outputs from the same configuration simultaneously without any matching condition. Non-...
We show how to construct a fast quantum circuit for computing the sum of two n-bit binary numbers with few qubits. The constructed circuit uses O(n/ logn) ancillary qubits and its depth and size are O(logn) and O(n), respectively. The number of ancillary qubits is asymptotically less than that in Draper et al.’s quantum carry-lookahead adder, and the depth and size are asymptotically the same a...
In this lecture, we will talk about circuit lower bound for constant-depth circuit with MODp gates. Using switching lemma, we can prove exponential size lower bound for constant-depth circuit computing parity and majority. What if parity (=MOD2 gates) are allowed? It was conjectured that majority still needs exponential size to compute in constant-depth circuit. Razborov (1987) solves this conj...
Methods for Reducing Events in Sequential Circuit Fault Simulation Elizabeth M. Rudnick Thomas M. Niermann Janak H. Patel Center for Reliable and Sunrise Test Systems Inc. Center for Reliable and High-Performance Computing Sunnyvale, CA 94086 High-Performance Computing University of Illinois University of Illinois Urbana, IL 61801 Urbana, IL 61801 Abstract Methods are investigated for reducing ...
Unlike fixed designs, programmable circuit designs support an infinite number of operators. The functionality of a programmable circuit can be altered by simply changing the angle values of the rotation gates in the circuit. Here, we present a new quantum circuit design technique resulting in two general programmable circuit schemes. The circuit schemes can be used to simulate any given operato...
Unsupervised training of generative models is a machine learning task that has many applications in scientific computing. In this work we evaluate the efficacy using quantum circuit-based to generate synthetic data high energy physics processes. We use non-adversarial, gradient-based circuit Born machines joint distributions over 2 and 3 variables.
A lattice surgery protocol is introduced to optimize quantum computing, helping eliminate extra circuit components and gate scheduling complexities, or reduce runtimes the total space-time costs.
Reconfigurable computing is a computer architecture which is intended to fill the gap between the hardware and the software, achieving potentially much higher performance than software, while maintaining a higher level of flexibility than hardware. Most commonly and widely used high speed computing fabrics deployed in reconfigurable computing are field-programmable gate arrays (FPGAs). This pap...
Background and Aim: The Fog Computing is a highly virtualized platform that provides storage, computing and networking services between the Cloud data centers and end devices. Fog computing fits the characteristics of real-time health monitoring systems. In such systems, a large amount of data is acquired from a multitude of bio and environmental sensors. On the other hand, its distribution and...
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