Jason Cong in Semiconductor Engineering: Power/Performance Bits

Computer scientists at the University of California Los Angeles found that current compilers for quantum computers are inhibiting optimal performance and argue that better quantum compilation design could help improve computation speeds up to 45 times. The team designed a family of benchmark quantum circuits with known optimal depths or sizes, which could be used to improve quantum layout synthesis tools. They tested their benchmarks in four of the most used quantum compilation tools. “We believe in the ‘measure, then improve’ methodology,” said Jason Cong, a professor of computer science at UCLA Samueli School of Engineering. “Now that we have revealed the large optimality gap, we are on the way to develop better quantum compilation tools, and we hope the entire quantum research community will as well.”