AQ is a place where the brightest, free-thinking minds from across disciplines come together to build technologies at the intersection of artificial intelligence and quantum technologies.
We have hosted residents from more than 15 countries, including Australia, Canada, France, Spain, the UK, and the USA, and are looking for opportunities to expand the program further.
It is essential we have a diverse range of voices involved in building responsible technologies that impact a lot of people. We depend on each other to cultivate an environment that values innovative and open collaboration.
Improve the security of global data infrastructure against Store Now Decrypt Later attacks. Migrate from RSA and ECC to quantum-resistant cryptosystems.
Build and scale the next generation of quantum sensors to better understand the world around us. Combine AI tools with data from new quantum sensing devices to impact sectors such as the life sciences, navigation, and geophysics.
Combine advanced physics-based and AI algorithms with the accelerated hardware of today to solve challenging problems. Develop hybrid quantum/classical applications to more accurately model our world (e.g. drug discovery, materials science).
Train and deploy models based on techniques from the many branches of AI such as deep learning, SciML, signal processing, image classification, natural language processing and reinforcement learning.
Support our network of educators to create content on quantum mechanics, linear algebra, cryptography, machine learning and other disciplines.
Residents and their SandboxAQ team can mutually arrange for either remote or on-site residencies at several locations globally. Residents focused on photonics hardware may be based at our lab near Stanford University in the Bay Area.
This role may be fulfilled full time, part time, or a combination depending on the needs of the resident and the team.
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Maecenas et urna purus. Aliquam sagittis diam id semper tristique.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Curabitur maximus quam malesuada est pellentesque rhoncus.
Maecenas et urna purus. Aliquam sagittis diam id semper tristique.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Curabitur maximus quam malesuada est pellentesque rhoncus.
Maecenas et urna purus. Aliquam sagittis diam id semper tristique.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Curabitur maximus quam malesuada est pellentesque rhoncus.
Maecenas et urna purus. Aliquam sagittis diam id semper tristique.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Curabitur maximus quam malesuada est pellentesque rhoncus.
Maecenas et urna purus. Aliquam sagittis diam id semper tristique.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Curabitur maximus quam malesuada est pellentesque rhoncus.
Maecenas et urna purus. Aliquam sagittis diam id semper tristique.