GERMANY, SPAIN, December 19, 2024 -- Kipu Quantum, the leading provider of application- and hardware-specific quantum computing solutions, has announced the extension of its partnership with the University of Valencia’s Electronic Engineering Department, headed by Prof. José D. Martín-Guerrero. This collaboration focuses on leveraging machine learning to drive advancements in quantum computing and approaching quantum advantage.

Expanding Frontiers in Quantum Machine Learning

The University of Valencia team brings exceptional expertise in advanced data analysis, machine learning and artificial intelligence, developed through years of solving complex real-world problems. Their consultancy role will strengthen Kipu Quantum’s ongoing efforts to harness quantum computing for groundbreaking real-world applications in medicine, satellite observation or astrophysics.

Breakthroughs in Quantum Convolutional Neural Networks (QCNNs)

The collaboration has already yielded significant results in optimizing quantum convolutional neural networks (QCNNs) and counterdiabatic protocols.

A critical pain point in AI/ML, especially in convolutional neural networks (CNNs), is the need for a large number of (expensive) parameters to train models, e.g., in image classification.

In our recent study on image classification of breast cancer, we demonstrated that digital-analog quantum compression improves machine learning models for image classification, enabling better prediction with 1,000x less training data highlighting a clear path towards usefulness within near term.

"Our partnership has produced compelling evidence that quantum ML models can outperform classical approaches in efficiency and scalability," said Prof. José Martín Guerrero, leader of Valencia’s Electronic Engineering Department, "We are excited to extend our research into tabular data applications, which promises to unlock even broader possibilities."

Expanding Quantum Applications in Industry Through Tabular Data Analysis

Building on this success, the extended collaboration will explore QCNN applications beyond medical imaging, targeting tabular data tasks where early results have been promising. This expansion opens new possibilities in diverse fields such as finance, logistics, accelerating the realization of practical quantum computing solutions.

"Our successful collaboration with the University of Valencia has already demonstrated its value through groundbreaking advancements," added Enrique Solano. "Their exceptional team and expertise make them the ideal partner to bring with us hardware- and applications specific algorithms at quantum-advantage level for industry use cases on commercial quantum computers.”