Maryam Khanahmadi

Chalmers University

Quantum computing under environmental noises

Building large-scale and fault-tolerant quantum computers is essential for advancing quantum information processing. However, the inherent fragility of coherent quantum systems and their high sensitivity to various forms of noise, such as photon loss and dephasing, pose significant challenges that limit our ability to realize the full potential of quantum computing. Over the years, various research groups have focused on developing efficient methods to understand the effects of noise on quantum systems and to optimally compensate for them, aiming to enhance quantum processors’ performance. Some aspects of these research efforts can be divided into the following categories: (I) implementing optimal quantum measurements on quantum processors to extract the maximum amount of information from the quantum state, (II) employing optimal techniques to decode the collected data, for example, using deep learning to analyze correlated measurement data, and (III) optimal generation of error-correctable quantum states, where encoding information into their logical basis facilitates the detection and correction of unwanted errors. In my presentation, I will explore these topics by presenting a review of my recent research works.