Engineered dissipation to mitigate barren plateaus
Variational quantum algorithms represent a powerful approach for solving optimization
problems on noisy quantum computers, with a broad spectrum of potential applications …
problems on noisy quantum computers, with a broad spectrum of potential applications …
Estimates of loss function concentration in noisy parametrized quantum circuits
G Crognaletti, M Grossi, A Bassi - ar** Out Classical Components
P Wang, C Myers, LCL Hollenberg… - ar** for Few-Sample Confidence
N Helgesen, M Felsberg, JÅ Larsson - ar** Saddles in Variational Quantum Algorithms
Stochastic gradient descent (SGD) is a frequently used optimization technique in classical
machine learning and Variational Quantum Eigensolver (VQE). For the implementation of …
machine learning and Variational Quantum Eigensolver (VQE). For the implementation of …
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 …
Efficient Quantum Circuit Compilation for Near-Term Quantum Advantage
Y Guo, S Yang - arxiv preprint arxiv:2501.07387, 2025 - arxiv.org
Quantum noise in real-world devices poses a significant challenge in achieving practical
quantum advantage, since accurately compiled and executed circuits are typically deep and …
quantum advantage, since accurately compiled and executed circuits are typically deep and …