Quantum computing is a new computation paradigm. It uses quantum mechanics effects such as
entanglement to speed up computation. Chemistry systems, material properties, and protein
structures can be efficiently simulated on quantum computers. It is projected that machine learning
and analyzing complex data can benefit from quantum computing as well. Current quantum hardware
has already started to provide scientific value by simulating some physics models that are difficult to
simulate otherwise. Solving industry-relevant tasks still requires significant effort and coordinated
collaboration among all sectors. Crucially, high training costs and entrance barriers make this
promising technology inaccessible to a broader range of users other than a few experts in the field.

Our project aims to resolve this pain point by developing a cloud quantum computing algorithm
platform. Our platform is a developers’ community, where algorithm and hardware developers can
share ideas, and a cloud computing service, where users can develop and run quantum computing
algorithms remotely. At the core of the platform is our AI-assisted quantum software development kit
(AI quantum SDK). With the help of our AI quantum SDK, algorithms from academia can be easily
translated to models that are ready to run on hardware. It also offers the ability to adapt existing
algorithms to specific tasks. Experts can develop and verify their quantum solutions in our platform
with minimal coding work. For beginner users, we provide low/no-coding development tools to make
quantum computing easily accessible.

Within the HAFIS programmes, our goal is to develop the prototype of the AI quantum SDK and the
cloud service. Further work will be focused on application-specific algorithms such as quantum
machine learning, simulating chemistry reactions, and drug design.