181 citations · 221 across the 8 of their papers we have counts for
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Challenges and Opportunities in Quantum Optimization
Amira Abbas, Andris Ambainis, Brandon Augustino +43
Recent advances in quantum computers are demonstrating the ability to solve problems at a scale beyond brute force classical simulation. As such, a widespread interest in quantum a…
Quantum Time Series Similarity Measures and Quantum Temporal Kernels
Vanio Markov, Vladimir Rastunkov, Daniel Fry
This article presents a quantum computing approach to designing of similarity measures and kernels for classification of stochastic symbolic time series. In the area of machine lea…
Optimizing quantum noise-induced reservoir computing for nonlinear and chaotic time series prediction
Daniel Fry, Amol Deshmukh, Samuel Yen-Chi Chen +2
Quantum reservoir computing is strongly emerging for sequential and time series data prediction in quantum machine learning. We make advancements to the quantum noise-induced reser…