Quantum Software Engineering and Development
Latest blog posts
aQuantum sponsors the second edition (in Spanish) of the Course on Quantum Software Programming (“Curso Propio de Programación de Software Cuántico”) organised by the University of Castilla-La Mancha. This course will be taught 100% online, between June and October...
José Luis Hevia talks about aQuantum’s commitment to sustainable quantum software in “todo al verde” on radio intereconomía
Jose L Hevia, aQuantum CTO, had the opportunity to attend the radio program "todo al verde" of Spanish radio channel “radio intereconomía” on February 03, 2023. "Todo al verde" (all to green) is the space dedicated to the environment in the magazine "Antes de que...
As part of its Research and Development (R&D) policy implemented by the aQuantum Labs, that allow to experiment with innovative ideas, carry out proof-of-concepts and implementations in partnership with the main software research groups and institutes, aQuantum...
The quantum energy initiative’s ambition is to foster interdisciplinary research to optimize the efficiency of quantum technologies by setting up new research programs across research labs, quantum and enabling technologies industry players.
aQuantum is a partner of the #QEI
This Manifesto collects some principles and commitments about the quantum software engineering and programming field,
as well as some calls for action.
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Contact us and receive more information about quantum software engineering and programming.
They talk about us
“QuantumPath, The First Quantum Software Development and Application Lifecycle Platform, is an ecosystem that covers the widest range of possible applications by integrating the software classical and quantum worlds, developing quantum software connected to real-world systems”.
“The general aim of project “QHealth: Quantum pharmacogenomics applied to ageing” is mainly human-oriented: the increase in longevity and quality of life of older adults. The study will include the adverse reactions to prescribing drugs in order to predict unwanted side effects of a specific one”.