Quantum computing for nonlinear differential equations and turbulence
Many problems in classical physics and engineering, such as turbulence, are governed by
nonlinear differential equations, which typically require high-performance computing to be …
nonlinear differential equations, which typically require high-performance computing to be …
Solving non-native combinatorial optimization problems using hybrid quantum-classical algorithms
Combinatorial optimization is a challenging problem applicable in a wide range of fields
from logistics to finance. Recently, quantum computing has been used to attempt to solve …
from logistics to finance. Recently, quantum computing has been used to attempt to solve …
[HTML][HTML] A Hybrid Quantum-Classical Model for Stock Price Prediction Using Quantum-Enhanced Long Short-Term Memory
The stock markets have become a popular topic within machine learning (ML) communities,
with one particular application being stock price prediction. However, accurately predicting …
with one particular application being stock price prediction. However, accurately predicting …
[HTML][HTML] Circumventing traps in analog quantum machine learning algorithms through co-design
Quantum machine learning algorithms promise to deliver near-term, applicable quantum
computation on noisy, intermediate-scale systems. While most of these algorithms leverage …
computation on noisy, intermediate-scale systems. While most of these algorithms leverage …
Harnessing quantum back-action for time-series processing
Quantum measurements affect the state of the observed systems via back-action. While
projective measurements extract maximal classical information, they drastically alter the …
projective measurements extract maximal classical information, they drastically alter the …
Robust Quantum Reservoir Computing for Molecular Property Prediction
D Beaulieu, M Kornjaca, Z Krunic, M Stivaktakis… - arxiv preprint arxiv …, 2024 - arxiv.org
Machine learning has been increasingly utilized in the field of biomedical research to
accelerate the drug discovery process. In recent years, the emergence of quantum …
accelerate the drug discovery process. In recent years, the emergence of quantum …
Modular quantum extreme reservoir computing
The connectivity between qubits plays a crucial role in the performance of quantum extreme
reservoir computing (QERC), particularly regarding long-range and inter-modular …
reservoir computing (QERC), particularly regarding long-range and inter-modular …
Programming tools for Analogue Quantum Computing in the High-Performance Computing Context--A Review
M Meller, V Szeremi, OT Brown - arxiv preprint arxiv:2501.16943, 2025 - arxiv.org
Recent advances in quantum computing have brought us closer to realizing the potential of
this transformative technology. While significant strides have been made in quantum error …
this transformative technology. While significant strides have been made in quantum error …
Predicting Chaotic Systems with Quantum Echo-state Networks
Recent advancements in artificial neural networks have enabled impressive tasks on
classical computers, but they demand significant computational resources. While quantum …
classical computers, but they demand significant computational resources. While quantum …