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Satellite Image Representations for Quantum Classifiers
Existing quantum hardware is limited in the number of bits and length of the series of operations. Nevertheless, by shifting parts of the computation...
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Brain MRI tumour classification using quantum classical convolutional neural net architecture
The use of quantum machines leverages the performance of classical machines in many aspects of solving real-world problems. Classification of a brain...
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Interactive Oracle Arguments in the QROM and Applications to Succinct Verification of Quantum Computation
This work is motivated by the following question: can an untrusted quantum server convince a classical verifier of the answer to an efficient quantum...
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High-dimensional quantum information processing on programmable integrated photonic chips
This study reviews the recent progress of high-dimensional quantum information processing with photons. We first introduce the basic language of...
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Constructing All Qutrit Controlled Clifford+T gates in Clifford+T
For a number of useful quantum circuits, qudit constructions have been found which reduce resource requirements compared to the best known or best...
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Polarimetric SAR Classification: Fast Learning with k-Maximum Likelihood Estimator
Classification of polarimetric synthetic aperture radar (SAR) images into different ground covers becomes challenging when the terrain under...
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Basics of Quantum Computing
Quantum computing is a type of computation where quantum phenomena, such as state superposition and entanglement, are exploited to perform...
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Implementing Grover Oracle for Lightweight Block Ciphers Under Depth Constraints
Grover’s search algorithm allows a quantum attack against block ciphers by searching for an n-bit secret key in time...
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Evaluation of Machine Learning and Deeplearning Algorithms Applied to Earth Observation Data for Change Detection in Polarimetric Radar Images
The aim here is to detect changes in polarimetric radar images (VV and VH) from the Sentinel 1A and 1B satellites. These changes are of a general...
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Solving Edge-Weighted Maximum Clique Problem with DCA Warm-Start Quantum Approximate Optimization Algorithm
The Quantum Approximate Optimization Algorithm is a hybrid quantum-classic algorithm used for solving combinatorial optimization. However, this...
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Approaches to Constrained Quantum Approximate Optimization
We study the costs and benefits of different quantum approaches to finding approximate solutions of constrained combinatorial optimization problems...
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Quantum algorithms for quantum dynamics
Among the many computational challenges faced across different disciplines, quantum-mechanical systems pose some of the hardest ones and offer a...
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Efficient parallelization of tensor network contraction for simulating quantum computation
We develop an algorithmic framework for contracting tensor networks and demonstrate its power by classically simulating quantum computation of sizes...
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Quantum circuits for computing Hamming distance requiring fewer T gates
The so-called Hamming distance measures the difference between two binary strings A and B. In simplified form, it measures the number of changes in A...
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Modified PCA, LDA and LPP feature extraction methods for PolSAR image classification
Three well-known feature extraction methods are modified for PolSAR image classification in this work. The polarimetric scattering characteristics of...
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Sing and Measure: Sound as Voice as Quanta
The universal concept of a “music of the spheres” traverses the history of philosophy, science and art, from Pythagoras to Kepler and beyond. In...
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Enabling Non-linear Quantum Operations Through Variational Quantum Splines
One of the major issues for building a complete quantum neural network is the implementation of non-linear activation functions in a quantum...
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A Polynomial Size Model with Implicit SWAP Gate Counting for Exact Qubit Reordering
Due to the physics behind quantum computing, quantum circuit designers must adhere to the constraints posed by the limited interaction distance of...
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Solving Higher Order Binary Optimization Problems on NISQ Devices: Experiments and Limitations
With the recent availability of Noisy Intermediate-Scale Quantum devices, the potential of quantum computers to impact the field of combinatorial...
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Quantum Entanglement Inspired Correlation Learning for Classification
Correlation is an important information resource, which is often used as a fundamental quantity for modeling tasks in machine learning. Since...