- Testbed 1 unites projects in HW and SW for Quantum Processors
- Testbed 2 unites HW and SW for Quantum Networks, Communications, Distributed Computing and Sensing
- Testbeds serve as vehicles for hands-on training
Current funded research project areas
End-to-end quantum compiler
PI: Zhihao Jia, Umut Acar
Focus: Automated discovery of quantum optimizations to support an end-to-end Quantum Compiler
- Approaches for automatically discovering and verifying optimizations for circuit transformations and qubit mapping
- ML-based end-to-end optimizations. We will develop an end-to-end pipeline for automating quantum optimizations discovered in Task 1 using machine learning (ML).
Quantum sensor for neuronal magnetic fields
PI: Maysam Chamanzar, Ozun Tonguz, Elias Towe
Focus: Create SiC devices with atom-like defects at lithographically defined locations.
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Defects should trap a single electron whose spin is expected to be sensitive to weak external electric and magnetic fields. Sensor will be tested when exposed to a live brain slice, which generates neuronal magnetic fields. Follow-on task will include networking a sensor array, which is in line with the QCiT quantum network test bed.
New research in post-quantum cryptography
PI: Aayush Jain
Focus: Improve robustness for cryptography through the study of new sources of hardness and create an alternate basis for quantum cryptography. As a by-product, we will construct practically efficient, fully homomorphic encryption and multi-party computation schemes.
Quantum optimal control
PI: Zac Manchester
Focus: First-of-its-kind calibration method that uses measurement feedback from hardware experiments to directly adjust control signals to achieve optimal performance when there is a mismatch between the models used for gait design and the physical device. Demonstration planned on real hardware systems with multiple collaborators in the next year to achieve record-breaking performance.
Targeted research areas
Toolchain SW
- Quantum compilers
- Quantum circuit synthesis
- Simulation of quantum processors
Algorithms
- Quantum machine learning
- Engineering and business process optimization
- Hamiltonian simulation of new materials and small molecule chemistry
Hardware
- Physics-inspired hardware accelerators
- Quantum networks for hybrid quantum sensors
- Quantum networks for quantum processors
- Networks for secure quantum communications