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Pure quantum gradient descent algorithm and full quantum variational eigensolver
Optimization problems are prevalent in various fields, and the gradient-based gradient descent algorithm is a widely adopted optimization method....
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Quantum state clustering algorithm based on variational quantum circuit
Clustering, a well-studied problem in the machine learning community, becomes even more intriguing with the emergence of quantum machine learning....
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Variational quantum multidimensional scaling algorithm
Quantum multidimensional scaling is a quantum dimensionality reduction algorithm. Its complex quantum circuit design structure and excessive qubits...
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A Quantum Algorithm for Solving the Travelling Salesman Problem by Quantum Phase Estimation and Quantum Search
AbstractA quantum algorithm for solving the traveling salesman problem by the quantum phase estimation and quantum search method is considered. An...
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Quantum Cost Optimization Algorithm for Entanglement-based Asymmetric Quantum Error Correction
The importance of reversible operations has been increasing day by day to overcome the drawbacks of irreversible computation. Quantum computers...
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Quantum image encryption algorithm based on Fisher–Yates algorithm and Logistic map**
The parallel computing power of quantum computing and the special properties of qubits provide an effective solution for image processing tasks. This...
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Quantum Algorithm for Classical Multidimensional Scaling
Classical multidimensional scaling is an important dimensionality reduction method that is characterized by preserving the Euclidean distance between...
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Variational Quantum Computation Integer Factorization Algorithm
The integer factorization problem is a major challenge in the field of computer science, and Shor’s algorithm provides a promising solution for this...
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A quantum online portfolio optimization algorithm
Portfolio optimization plays a central role in finance to obtain optimal portfolio allocations that aim to achieve certain investment goals....
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Quantum fast corner detection algorithm
Corners are very important local features for an image that can be widely used in many image processing tasks such as object detection, image...
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Can quantum genetic algorithm really improve quantum backpropagation neural network?
The key point of introducing quantum genetic algorithm to a quantum backpropagation neural network model is to overcome local stagnation problem...
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Finding eigenvectors with a quantum variational algorithm
This paper presents a hybrid variational quantum algorithm that finds a random eigenvector of a unitary matrix with a known quantum circuit. The...
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Sampling frequency thresholds for the quantum advantage of the quantum approximate optimization algorithm
We compare the performance of the Quantum Approximate Optimization Algorithm (QAOA) with state-of-the-art classical solvers Gurobi and MQLib to solve...
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Variational quantum algorithm for experimental photonic multiparameter estimation
Variational quantum metrology represents a powerful tool to optimize estimation strategies, resulting particularly beneficial for multiparameter...
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Discrete-time quantum walk-based optimization algorithm
Optimization is a collection of principles that are used for problem solving in a vast spectrum of disciplines. Given the specifics of a problem and...
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Variational shadow quantum neural network based on immune optimisation algorithm
Quantum neural networks are neural network models based on the principles of quantum mechanics, a combination of the advantages of classical neural...
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New space-efficient quantum algorithm for binary elliptic curves using the optimized division algorithm
In the previous research on solving the elliptic curve discrete logarithm problem, quantum resources were concretely estimated. In Banegas et al....
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Peptide conformational sampling using the Quantum Approximate Optimization Algorithm
Protein folding has attracted considerable research effort in biochemistry in recent decades. In this work, we explore the potential of quantum...
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Performance Analysis of the Hardware-Efficient Quantum Search Algorithm
This article explores the Hardware-Efficient Quantum Search Algorithm and compares it with other well-known counterparts. Escalating the count of...
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Research on support vector machine optimization based on improved quantum genetic algorithm
Support vector machine (SVM) is one of the classical machine learning algorithms. It is widely used and researched for its generalizability and low...
