Paris, July 24, 2023 – Quantum computing company PASQAL today announced a hackathon dedicated to generating ideas for quantum-based solutions that can accelerate the sustainable energy transition: The Blaise Pascal [re]Generative Quantum Challenge.This year is the 400th anniversary of the birth of French mathematician and philosopher Blaise Pascal. To honor this occasion, the Pre-registration opened July […]
Crédit Agricole Announces Quantum POC Results with Pasqal and Multiverse Computing
January 26, 2023 by
Paris, 26 January 2023 – Crédit Agricole CIB and European quantum companies Pasqal and Multiverse Computing have announced results on two quantum computing proofs of concept. These two experiments, initiated in June 2021 by Crédit Agricole, aimed to evaluate the contribution of an algorithmic approach inspired by quantum computing, and the potential of quantum computers, […]
PASQAL and University of Chicago Announce Neutral Atoms Quantum Computing Collaboration
November 30, 2022 by
Boston – Nov. 30, 2022 — PASQAL, a neutral atoms quantum computing research company headquartered in Paris, today announced a collaboration agreement with Professor Hannes Bernien at the University of Chicago to advance neutral atom quantum computing. PASQAL and Bernien will accomplish this by developing new techniques for enabling high-fidelity qubit control. Bernien is a […]
Pasqal and ARAMCO Collaborate on Quantum Applications for Energy Industry
March 9, 2022 by
Riyadh, Saudi Arabia — March 9, 2022 – Pasqal, a developer of neutral atom-based quantum technology, and ARAMCO announced the signing of an MoU to collaborate on quantum computing applications in the energy sector. Objectives include accelerating the development of quantum-based machine learning models as well as advancing other use cases for the technology across […]
Pasqal Launches ML Protocol for Comparing Graph-based Data on Quantum Systems
October 28, 2021 by
PARIS, Oct. 28, 2021 – Pasqal, developers of neutral atom-based quantum technology, today announced the publication of a scientific paper in the peer-reviewed APS Physics journal Physical Review A presenting a new machine learning protocol for measuring the similarity between graph-structured data on quantum computers. Titled “Quantum evolution kernel: Machine learning on graphs with programmable arrays of qubits,” the […]
