Quantum computers are millions of times faster than the most sophisticated supercomputers in the world today. But they are susceptible to “noise” from various sources, such as disturbances in the Earth’s magnetic field, cosmic rays and even nearby qubits (the building blocks of quantum computers).
As Canada Research Chair in Quantum Software and Algorithms, Dr. Olivia Di Matteo is developing software and algorithms that mitigate and adapt to noise in quantum computers. She and her research team are designing and implementing large-scale, noise-aware techniques and creating quantum tomography methods to improve state-of-the-art experimental devices. They plan to use these results to develop robust quantum algorithms that can solve meaningful problems across a spectrum of domains. Their research will help ensure that quantum computers are used to their fullest potential. It will also pave the way for future generations of quantum software and hardware.