22 citations · 37 across the 10 of their papers we have counts for
10 papers
One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective
Juan Agustín Duque, Sergio García Heredia, Vinicius Hernandes +4
Neural quantum states (NQS) provide a flexible and scalable framework for approximating quantum many-body wavefunctions. Among NQS parameterizations, autoregressive models are espe…
g-tensor Optimization in Ge/SiGe Quantum Dots
Aram Shojaei, Edmondo Valvo, Maximilian Rimbach-Russ +2
Planar germanium heterostructures hosting hole-spin qubits are among the leading platforms for scalable semiconductor-based quantum computing. Yet, device performance is hindered b…
Accurate ground states of lattice gauge theory in 2+1D and 3+1D
Thomas Spriggs, Eliska Greplova, Juan Carrasquilla +1
We present a neural network wavefunction framework for solving non-Abelian lattice gauge theories in a continuous group representation. Using a combination of equivariant n…
Adiabatic Fine-Tuning of Neural Quantum States Enables Detection of Phase Transitions in Weight Space
Vinicius Hernandes, Thomas Spriggs, Saqar Khaleefah +1
Neural quantum states (NQS) have emerged as a powerful tool for approximating quantum wavefunctions using deep learning. While these models achieve remarkable accuracy, understandi…
Unified evolutionary optimization for high-fidelity spin qubit operations
Sam R. Katiraee-Far, Yuta Matsumoto, Brennan Undseth +9
Developing optimal strategies to calibrate quantum processors for high-fidelity operation is one of the outstanding challenges in quantum computing today. Here, we demonstrate mult…
Exploring Biological Neuronal Correlations with Quantum Generative Models
Vinicius Hernandes, Eliska Greplova
Understanding of how biological neural networks process information is one of the biggest open scientific questions of our time. Advances in machine learning and artificial neural…
Mutual information fluctuations and non-stabilizerness in random circuits
Arash Ahmadi, Jonas Helsen, Cagan Karaca +1
The emergence of quantum technologies has brought much attention to the characterization of quantum resources as well as the classical simulatability of quantum processes. Quantum…
QDsim: A user-friendly toolbox for simulating large-scale quantum dot devices
Valentina Gualtieri, Charles Renshaw-Whitman, Vinicius Hernandes +1
We introduce QDsim, a python package tailored for the rapid generation of charge stability diagrams in large-scale quantum dot devices, extending beyond traditional double or tripl…
Data needs and challenges for quantum dot devices automation
Justyna P. Zwolak, Jacob M. Taylor, Reed W. Andrews +17
Gate-defined quantum dots are a promising candidate system for realizing scalable, coupled qubit systems and serving as a fundamental building block for quantum computers. However,…
Quantifying non-stabilizerness via information scrambling
Arash Ahmadi, Eliska Greplova
The advent of quantum technologies brought forward much attention to the theoretical characterization of the computational resources they provide. A method to quantify quantum reso…