SIMUQ: A Domain-Specific Language for Quantum Simulation With Analog Compilation

March 2022-Nov. 2022, UMD
Supervised by Professor Xiaodi Wu.
Yuxiang Peng, Jacob Young, Pengyu Liu, Xiaodi Wu
  • PLDI 2023 in submission.
  • Developed SIMUQ, a domain-specific language with an optimized compiler that can compile the Hamiltonian simulation tasks into quantum machines efficiently with an analog rather than the gate-based model.
  • Wrote a program to generate control pulses automatically using calibration data from superconducting quantum computers to avoid the high calibration cost.
  • Conducted QAOA experiments with the SIMUQ compiler on real quantum computers to show up to 2.3× improvement in pulse duration and better performance.