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
A C++-based quantum circuit compilation framework that provides a unified and user-friendly environment for prototyping and evaluating QCS algorithms, along with robust developer tools for low-level data access and quality assurance practices like CI/CD and regression testing.
May 12, 2024
Develope a C/C++ library for communication between ATTiny85 boards and Raspberry Pi, constructing the complete data path for LED control, and designing choreography and lighting effects for the performance.
Mar 28, 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