Quantum machine learning on near-term quantum devices: Current state of supervised and unsupervised techniques for real-world applications
The past decade has witnessed significant advancements in quantum hardware,
encompassing improvements in speed, qubit quantity, and quantum volume—a metric …
encompassing improvements in speed, qubit quantity, and quantum volume—a metric …
[HTML][HTML] Efficient MPS representations and quantum circuits from the Fourier modes of classical image data
Abstract Machine learning tasks are an exciting application for quantum computers, as it has
been proven that they can learn certain problems more efficiently than classical ones …
been proven that they can learn certain problems more efficiently than classical ones …
Constant-depth preparation of matrix product states with adaptive quantum circuits
Quantum-Inspired Fluid Simulation of 2D Turbulence with GPU Acceleration
Tensor network algorithms can efficiently simulate complex quantum many-body systems by
utilizing knowledge of their structure and entanglement. These methodologies have been …
utilizing knowledge of their structure and entanglement. These methodologies have been …
Quantum Computing for Automotive Applications: From Algorithms to Applications
Quantum computing could impact various industries, with the automotive industry with many
computational challenges, from optimizing supply chains and manufacturing to vehicle …
computational challenges, from optimizing supply chains and manufacturing to vehicle …
Tensor Train Multiplication
We present the Tensor Train Multiplication (TTM) algorithm for the elementwise
multiplication of two tensor trains with bond dimension $\chi $. The computational complexity …
multiplication of two tensor trains with bond dimension $\chi $. The computational complexity …
The State Preparation of Multivariate Normal Distributions using Tree Tensor Network
H Manabe, Y Sano - arxiv preprint arxiv:2412.12067, 2024 - arxiv.org
The quantum state preparation of probability distributions is an important subroutine for
many quantum algorithms. When embedding $ D $-dimensional multivariate probability …
many quantum algorithms. When embedding $ D $-dimensional multivariate probability …
Representation of Classical Data on Quantum Computers
Quantum computing is currently gaining significant attention, not only from the academic
community but also from industry, due to its potential applications across several fields for …
community but also from industry, due to its potential applications across several fields for …