15 citations · 89 across the 29 of their papers we have counts for
5 papers · 1 filter
Single-Layer Digitized-Counterdiabatic Quantum Optimization for -spin Models
Huijie Guan, Fei Zhou, Francisco Albarrán-Arriagada +4
Quantum computing holds the potential for quantum advantage in optimization problems, which requires advances in quantum algorithms and hardware specifications. Adiabatic quantum o…
Microwave Quantum Memcapacitor Effect
X. -Y. Qiu, S. Kumar, F. A. Cárdenas-López +3
Developing the field of neuromorphic quantum computing necessitates designing scalable quantum memory devices. Here, we propose a superconducting quantum memory device in the micro…
Physics-Informed Neural Networks for an optimal counterdiabatic quantum computation
Antonio Ferrer-Sánchez, Carlos Flores-Garrigos, Carlos Hernani-Morales +7
We introduce a novel methodology that leverages the strength of Physics-Informed Neural Networks (PINNs) to address the counterdiabatic (CD) protocol in the optimization of quantum…
Machine Learning for maximizing the memristivity of single and coupled quantum memristors
Carlos Hernani-Morales, Gabriel Alvarado, Francisco Albarrán-Arriagada +3
We propose machine learning (ML) methods to characterize the memristive properties of single and coupled quantum memristors. We show that maximizing the memristivity leads to large…
Digital-analog quantum computing of fermion-boson models in superconducting circuits
Shubham Kumar, Narendra N. Hegade, Anne-Maria Visuri +5
High-fidelity quantum simulations demand hardware-software co-design architectures, which are crucial for adapting to complex problems such as strongly correlated dynamics in conde…