NEUTRAL ATOM COMPUTERS

Neutral atom qubits have desirable properties that must be considered when optimizing quantum software compilation and stack solutions: multi-qubit gates, customizable, flexible qubit connections, and long coherence times. Our research has focused on leveraging these properties to compile for both near-term and fault-tolerant neutral-atom quantum computers.

Park-n-Ride [SC 26], PaQit [QCE 26], PachinQo [SIGMETRICS 25], ResQ [ICCV 25], PARALLAX [SC 24], ReCon [ICCAD 24]

QUANTUM AI

Quantum and machine learning (QML) has emerged as a promising paradigm for high-impact machine learning tasks. However, it is challenging to design and train models for QML tasks to run on noisy quantum computers. Our research has focused on designing techniques for specific QML tasks to run on current quantum computers while mitigating the effects of these challenges.

CircuitTree [QCE 26], SpinTune [ICS 26], Quorus [ICLR 26], Quorum [DAC 25], EnQode [DAC 25]

QUANTUM CLOUDS

Quantum computing is largely delivered through cloud platforms, making efficient resource management, scheduling, and compilation essential for scalable execution. Our research develops system software for quantum clouds that improves reliability, reduces performance variability, and minimizes unnecessary compilation overhead, enabling more predictable, efficient, and scalable access to quantum resources.

Anchor [SIGMETRICS 26], NEST [SIGMETRICS 26], Revisiting Transpiling [ICCAD 25]