39 citations · 146 across the 32 of their papers we have counts for
Showing 2016 · quant-phShow all
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quant-ph2016★ 6 cited
A Quantum Implementation Model for Artificial Neural Networks
Ammar Daskin
The learning process for multi layered neural networks with many nodes makes heavy demands on computational resources. In some neural network models, the learning formulas, such as…
quant-ph2016★ 14 cited
An Ancilla Based Quantum Simulation Framework for Non-Unitary Matrices
Ammar Daskin, Sabre Kais
The success probability in an ancilla based circuit generally decreases exponentially in the number of qubits consisted in the ancilla. Although the probability can be amplified th…
quant-ph2016★ 11 cited
Obtaining A Linear Combination of the Principal Components of a Matrix on Quantum Computers
Anmer Daskin
Principal component analysis is a multivariate statistical method frequently used in science and engineering to reduce the dimension of a problem or extract the most significant fe…