Research
Quantum Computing
Developing near-term and long-term quantum computing applications through algorithm design, hybrid workflows, and error correction.
Algorithm Design
Designing quantum algorithms for optimization, simulation, and machine learning tasks that provide demonstrable advantages over classical approaches.
Hybrid CPU-GPU-QPU Workflows
Orchestrating computation across classical and quantum processors to tackle problems that neither paradigm can solve efficiently alone.
Quantum Error Correction
Developing robust error mitigation and correction strategies to enable reliable computation on near-term noisy intermediate-scale quantum (NISQ) devices.
AI-Assisted Quantum Access
Leveraging AI to enable scientists and engineers without deep quantum expertise to discover and utilize quantum algorithms and optimize workflows.
Quantum Sensing
Advancing quantum sensing technologies for precision measurement across earth science, structural monitoring, and environmental applications.
Precision Measurement
Exploiting quantum mechanical properties such as entanglement and superposition to achieve measurement sensitivity beyond classical limits.
Earth Science Applications
Applying quantum sensing to atmospheric, geophysical, and environmental monitoring, including collaboration with national laboratory partners at PNNL.
Structural Health Monitoring
Developing quantum-enhanced sensors for real-time monitoring of infrastructure integrity, supporting safer and more resilient built environments.
Sensor Integration
Integrating quantum sensors with classical data pipelines and AI-driven analysis platforms for actionable insight from high-fidelity measurements.
Quantum Computer Building
Designing and constructing quantum computing hardware, from qubit architectures to scalable integration with classical systems.
Qubit Design & Fabrication
Researching superconducting, trapped-ion, and photonic qubit platforms with a focus on coherence times, gate fidelity, and scalability.
Decoherence Mitigation
Developing materials, architectures, and control strategies to minimize environmental noise and extend quantum coherence in hardware systems.
Scalable Architectures
Designing modular, fault-tolerant quantum computing architectures that can scale toward practical, large-scale quantum advantage.
Classical-Quantum Integration
Building the control electronics, cryogenic interfaces, and software stacks needed to seamlessly bridge quantum hardware with classical computing infrastructure.