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Synthesizing Quantum Circuits of AES with Lower T-depth and Less Qubits
The significant progress in the development of quantum computers has made the study of cryptanalysis based on quantum computing an active topic. To...
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Unsupervised segmentation of PolSAR data with complex Wishart and \({\varvec{\mathcal {G}}}^{\varvec{0}}_{\varvec{m}}\) distributions and Shannon entropy
Polarimetric synthetic aperture radar (PolSAR) systems are powerful remote sensing instruments. Despite their ability to acquire images in all...
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Rise of the Quantum Machines: Fundamentals
Los Alamos Laboratory was celebrating its fortieth anniversary on April 14, 1983. Physics Laureate Richard P. Feynman stated in a lecture titled...
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Quantum Cinema and Quantum Computing
The author discusses philosophical, ontological and phenomenological questions of quantum phenomena and their possible visualization by means of...
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QKSA: Quantum Knowledge Seeking Agent
In this research, we extend the universal reinforcement learning agent models of artificial general intelligence to quantum environments. The utility...
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An iterative PolSAR image classification method with utilizing scattering and contextual information
Polarimetric synthetic aperture radar (PolSAR) images with multiple polarimetric channels have high discrimination ability. So, they are appropriate...
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Mathematical Foundations and Postulates of Quantum Computing
Quantum mechanics is more fundamental than classical mechanics, and it works at both the microscopic and macroscopic levels. However, the...
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Compiling Single Round QCCP-X Quantum Circuits by Genetic Algorithm
The circuit model is one of the leading quantum computing architectures. In this model, a quantum algorithm is given by a set of quantum gates that...
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Qurzon: A Prototype for a Divide and Conquer-Based Quantum Compiler for Distributed Quantum Systems
When working with algorithms on quantum devices, quantum memory becomes a crucial bottleneck due to low qubit count in NISQ-era devices. In this...
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QML Techniques
In our exploration of various quantum algorithms and platforms, we have experienced the interesting point that the quantum computer is probabilistic,...
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Geometric Quantum States and Lagrangian Polar Duality: Quantum Mechanics Without Wavefunctions
We propose a geometric formulation of Gaussian (and more general) pure quantum states based on an extended version of polar duality based on the...
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Quantum Variational Optimization and Adiabatic Methods
In this chapter, we will take a look at the various optimization techniques that use quantum computing in their formulation. A couple of such...
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Symbolic Reasoning About Quantum Circuits in Coq
A quantum circuit is a computational unit that transforms an input quantum state to an output state. A natural way to reason about its behavior is to...
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Mean-Field Analysis of Sourlas Codes with Adiabatic Reverse Annealing
In this chapter, we analyze the typical performance of adiabatic reverse annealing (ARA) for Sourlas codes. Sourlas codes are representative...
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Efficient Parabolic Optimisation Algorithm for Adaptive VQE Implementations
Computational chemistry is one of the most promising applications of quantum computing, mostly thanks to the development of the Variational Quantum...
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Hyperparameter Importance of Quantum Neural Networks Across Small Datasets
As restricted quantum computers are slowly becoming a reality, the search for meaningful first applications intensifies. In this domain, one of the...
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Three Quantum Machine Learning Approaches for Mobile User Indoor-Outdoor Detection
There is a growing trend in using machine learning techniques for detecting environmental context in communication networks. Machine learning is one...
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Solving quantum circuit compilation problem variants through genetic algorithms
The gate-based model is one of the leading quantum computing paradigms for representing quantum circuits. Within this paradigm, a quantum algorithm...
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