1 citations · 1 across the 7 of their papers we have counts for
8 papers
Binary Optimization of Measurement Groupings for Quantum Energy Estimation
Isaac L. Huidobro-Meezs, Rodrigo A. Vargas-Hernández
Repeated measurements can dominate the resources required for quantum energy estimation, making the choice of which Pauli observables to measure together a central optimization pro…
Bottom-Up Design of Quantum Optical Experiments Using Discrete Generative Models
Isaac L. Huidobro-Meezs, Simón Paiva-Ortega, Rodrigo A. Vargas-Hernández
Designing quantum optical experiments requires searching over discrete circuit topologies and continuous parameters, often with multiple realizations of the same target state. Grap…
Reducing quantum measurements in qubit-based overlapping grouping methods for quantum energy estimation through better initializations
Isaac L. Huidobro-Meezs, Rodrigo A. Vargas-Hernández
The measurement cost for estimating expectation values of Hamiltonians is a central bottleneck in variational quantum algorithms. Grouping strategies significantly reduce this cost…
Spectral Analysis of Molecular Features: When Richer Features Do Not Guarantee Better Generalization
Asma Jamali, Tin Sum Cheng, Rodrigo A. Vargas-Hernández
The spectral properties of feature embeddings offer critical insights into model generalization and representation quality. While deep learning models are widely used for molecular…
Meta-Learning Fourier Neural Operators for Hessian Inversion and Enhanced Variational Data Assimilation
Hamidreza Moazzami, Asma Jamali, Nicholas Kevlahan +1
Data assimilation (DA) is crucial for enhancing solutions to partial differential equations (PDEs), such as those in numerical weather prediction, by optimizing initial conditions…
Discrete Flow-Based Generative Models for Measurement Optimization in Quantum Computing
Isaac L. Huidobro-Meezs, Jun Dai, Rodrigo A. Vargas-Hernández
Estimating molecular Hamiltonians to chemical accuracy requires a large number of measurements. Hamiltonian overlapping grouping methods focus on reducing measurement counts, emplo…
LivePyxel: Accelerating image annotations with a Python-integrated webcam live streaming
Uriel Garcilazo-Cruz, Joseph O. Okeme, Rodrigo A. Vargas-Hernández
The lack of flexible annotation tools has hindered the deployment of AI models in some scientific areas. Most existing image annotation software requires users to upload a precolle…
Scalable Bayesian Optimization for High-Dimensional Coarse-Grained Model Parameterization
Carlos A. Martins Junior, Daniela A. Damasceno, Keat Yung Hue +3
Coarse-grained (CG) force field models are extensively utilised in material simulations due to their scalability. Traditionally, these models are parameterized using hybrid strateg…