Comprehensive framework of T-Count Optimization Techniques for Clifford+T Quantum Circuits
Jun 16, 2024
Developed a reinforcement logic optimization program that minimizes circuit costs by comparing reinforcement learning with baseline methods like greedy and simulated annealing, utilizing a black-box cost estimator and converting netlists into AIG files for optimization.
Jun 15, 2024
Use gray-code synthesis to map the matrices into quantum gates, decomposing and optimizing to get the final quantum circuit with the given basic gate sets.
Jan 14, 2024
Explores enabling real-time haptic feedback in VR games by analyzing vibration patterns from VR controllers, with work involving data processing for user studies and coding with the OpenVR API for capturing vibration patterns.
Apr 30, 2023