Q-CTRL along with the U.S. Sandia National Laboratory have won an SBIR (Small Business Innovation Research) grant of $230,000 for a project to research automated calibration, characterization and optimization of near-term quantum processors. To achieve optimum performance, the quantum computer needs to provide the qubit control pulses with the best possible characteristics. The optimum set of characteristics is a function of things like manufacturing variations or even environmental differences that can change every day. Many of the quantum machines currently are calibrated on a daily or even more frequent basis. This can be a very intense process if done manually and it get more and more complicated as the number of qubits increases. The Q-CTRL/Sandia project will work to automate this process using artificial intelligence to reduce the amount of labor involved and improve the overall qubit quality when running programs. Additional information about this award is available in an article at InnovateAus located here.

Quantopticon is an early-stage company that produces unique modelling software called Quantillion for designing and optimizing quantum photonic components. Along with research groups at the University of Oxford and the Technical University of Munich, they have been awarded €175,000 ($199K USD) to develop high-quality single-photon sources for the first European quantum encryption satellite. Quantopticon is a member of the first cohort of the Duality Quantum Accelerator, and you can find more information about the company and the award they received in an article on the Duality website here.

The U.S. National Science Foundation (NSF) has awarded Rice University physicist Dr. Guido Pagano has won a CAREER award for $704,242. to study quantum entanglement and develop new error-correcting tools for quantum computation. The program will last for five years and will use ion traps to study how to what happens when the devices are subjected to multiple iterations between partial measurement and quantum evolution operations. Additional information about this research can be found in a press release available on the Rice University website here and also an NSF award abstract posting which can be found here.

January 15, 2022