Quantum computing hardware is rapidly evolving, with today’s systems offering between 100 and 5000 qubits depending on the underlying technology. However, there is a large gap between the resource requirements of useful quantum applications and hardware capacity. In this talk, we will present a resource estimation framework for understanding the qubit and runtime requirements of practically useful quantum applications. This framework provides a full-stack approach to model the quantum stack and offers lessons for choosing the appropriate type of qubits and error correction that can enable scalable computations. Building on this, we will discuss 1) how resource estimation can answer key questions in architecture design, particularly around system needs for distributed quantum computing, 2) resource optimization in the compiler to reduce qubit requirements and 3) mappings of quantum error correction choices to hardware to inform device engineering choices.
Link to join virtually: https://cam-ac-uk.zoom.us/j/89473073451
This talk is being recorded. If you do not wish to be seen in the recording, please avoid sitting in the front three rows of seats in the lecture theatre. Any questions asked will also be included in the recording. The recording will be made available on the Department’s webpage
