Papers
Using Differential Evolution to avoid local minima in Variational Quantum Algorithms
- Daniel Faílde, José Daniel Viqueira, Mariamo Mussa Juane & Andrés Gómez
Using the Differential Evolution optimizer to avoid local minima in NISQ-era Variational Quantum Algorithms, such as VQE for the Ising model
Quantum Compilation Process: A Survey
- F. Javier Cardama, Jorge Vázquez-Pérez, Tomás F. Pena, Juan C. Pichel, and Andrés Gómez
Quantum compilation, critical for bridging high-level quantum programming and physical hardware, faces unique challenges distinct from classical compilation. As quantum computing advances, scalable and efficient quantum compilation methods become necessary.
TNBS: A Kernel-Based Benchmarking for Digital Quantum Computers
- Gonzalo Ferro, Oluwatosin Odubanjo, Diego Andrade, and Andrés Gómez
The systematic evaluation of the performance of Quantum Computers allows users to identify the best platform to execute a certain class of workload, and it can also guide the future developments of hardware companies. The NEASQC Benchmark Suite (TNBS) is a methodology designed in the context of the NEASQC (NExt ApplicationS of Quantum Computing) European project to perform such evaluation across several benchmark cases identified as common in one or several domains of application of Quantum Computing.
Posters
Enhancing scalability of quantum circuits through gate cutting
- Guillermo Díaz
Showcasing the Gate Cutting method for Variational Quantum Algorithms, to reduce the number of necessary qubits and the effect of noise. Results for VQE and Ising model.
Quantum Recurrent Neural Networks for Multivariate Time Series Prediction
- José Daniel Viqueira
Showcasing a Quantum Recurrent Neural Network model for Time Series predictions, and results obtained for datasets with many variables.
Quantum Recurrent Neural Networks for Time Series Prediction
- José Daniel Viqueira
Showcasing a Quantum Recurrent Neural Network model for Time Series predictions, and results obtained single-variable datasets.
Reports
Simulating NMR Spectra with a Quantum Computer
The proposed project aims to achieve accurate and efficient simulation of an NMR spectrum using a quantum computer
Detection of cosmic rays in the quantum computing infrastructure of CESGA
We describe the properties that should characterize the experimental device proposed for the detection of cosmic rays passing through the quantum processor required by CESGA
A new approach to solving Manufacturing Resource Planning (MRP) problems on quantum systems: LCU + Hadamard - V
In this project, we have explored potential applications of the Quantum Approximate Optimization Algorithm (QAOA) in real industrial environments using the CESGA simulator
A new approach to solving Manufacturing Resource Planning (MRP) problems on quantum systems: LCU + Hadamard - IV
In this project, we have explored potential applications of the Quantum Approximate Optimization Algorithm (QAOA) in real industrial environments using the CESGA simulator
A new approach to solving Manufacturing Resource Planning (MRP) problems on quantum systems: LCU + Hadamard - III
In this project, we have explored potential applications of the Quantum Approximate Optimization Algorithm (QAOA) in real industrial environments using the CESGA simulator
A new approach to solving Manufacturing Resource Planning (MRP) problems on quantum systems: LCU + Hadamard - II
In this project, we have explored potential applications of the Quantum Approximate Optimization Algorithm (QAOA) in real industrial environments using the CESGA simulator
Slides
Parallelizing Quantum Algorithms in the NISQ era
- Constantino Rodríguez
Showcasing techniques for parallellizing quantum algorithms, with use cases in Variational Quantum Algorithms: VQE and QAOA.
Quantum Recurrent Neural Networks for Multivariate Time Series Prediction
- José Daniel Viqueira
Showcasing a Quantum Recurrent Neural Network model for Time Series predictions, and results obtained for datasets with many variables
Quantum Infraestructure and Quantum Technologies for cybersecurity research
- Mariamo Mussa
Introduction to Quantum Technologies, such as Quantum Computing, Quantum Communications, and Quantum Ket Distriburion, with a focus in Quantum Cryptography
Parallelizing quantum algorithms with classical communication
- Constantino Rodríguez
Introducing methods to simulate entanglement between QPUs in the scenarios of classical communication, and no communication.
Evolutionary optimization for Variational Quantum Algorithms
- Daniel Faílde
Using the Differential Evolution optimizer to avoid local minima in NISQ-era Variational Quantum Algorithms, such as VQE for the Ising model.
Introduction to Quantum Algorithms
- Daniel Faílde
Introduction to Quantum Algorithms: both for foundational algorithms (Shor, Grover, QFT) and for NISQ-era algorithms: Variational Quantum Circuits
Dissemination
O futuro é cuántico
- CESGA
O Polo de Tecnoloxías Cuánticas de Galicia, no camiño de ser referente europeo en 2030. Díxitos Especial Cuántica Outubro 2023