Quantum Machine Learning: Scope for real-world problems
Quantum computing with its inherent parallelism provides a quantum advantage over
classical computing. Its potential to offer breakthrough advances in various areas of science …
classical computing. Its potential to offer breakthrough advances in various areas of science …
Quantum algorithms for scientific computing
R Au-Yeung, B Camino, O Rathore… - Reports on Progress in …, 2024 - iopscience.iop.org
Quantum computing promises to provide the next step up in computational power for diverse
application areas. In this review, we examine the science behind the quantum hype, and the …
application areas. In this review, we examine the science behind the quantum hype, and the …
Quantum algorithms for scientific applications
R Au-Yeung, B Camino, O Rathore… - arxiv preprint arxiv …, 2023 - arxiv.org
Quantum computing promises to provide the next step up in computational power for diverse
application areas. In this review, we examine the science behind the quantum hype and …
application areas. In this review, we examine the science behind the quantum hype and …
Quantum pixel representations and compression for N-dimensional images
We introduce a novel and uniform framework for quantum pixel representations that
overarches many of the most popular representations proposed in the recent literature, such …
overarches many of the most popular representations proposed in the recent literature, such …
An efficient quantum partial differential equation solver with chebyshev points
Differential equations are the foundation of mathematical models representing the universe's
physics. Hence, it is significant to solve partial and ordinary differential equations, such as …
physics. Hence, it is significant to solve partial and ordinary differential equations, such as …
Quantum simulation of nuclear inelastic scattering
We present a time-dependent quantum algorithm for nuclear inelastic scattering in the time-
dependent basis function on qubits approach. This algorithm aims to quantum simulate a …
dependent basis function on qubits approach. This algorithm aims to quantum simulate a …
Enhanced machine learning using quantum computing
A Jhanwar, MJ Nene - 2021 Second international conference …, 2021 - ieeexplore.ieee.org
In recent times, increasing amount of the data have enriched the decision making using
machine learning. Despite of the growth in the domain of machine learning, the proximity to …
machine learning. Despite of the growth in the domain of machine learning, the proximity to …
Signal Analysis-Synthesis using the quantum Fourier Transform
This paper presents the development of Quantum Fourier transform (QFT) education tools in
the object-oriented Java-DSP (J-DSP) simulation environment. More specifically, QFT and …
the object-oriented Java-DSP (J-DSP) simulation environment. More specifically, QFT and …
Exploiting OFDM method for quantum communication
Orthogonal frequency-division multiplexing (OFDM) is a crucial modulation method used in
contemporary digital communication systems for its significant spectral efficiency, low …
contemporary digital communication systems for its significant spectral efficiency, low …
[HTML][HTML] A brief review on mathematical tools applicable to quantum computing for modelling and optimization problems in engineering
Y Mahmoudi, N Zioui, H Belbachir, M Tad**e… - Emerging Science …, 2022 - ijournalse.org
Since its emergence, quantum computing has enabled a wide spectrum of new possibilities
and advantages, including its efficiency in accelerating computational processes …
and advantages, including its efficiency in accelerating computational processes …