Mini-symposium on Quantum computing and Quantum error correction

Host: Mats Granath 

10.00-10.35 - Ben Criger (Quantinuum)
Introduction to Quantum Error Correction and Fault-Tolerant Quantum Computing
Abstract: Quantum computers hold the promise to accelerate certain fields of science, research and technology development, owing to their ability to solve problems for which no efficient algorithm is known which can run on a conventional computer. Unfortunately, the superposition states that permit these computational speedups are very delicate, and any interaction between the quantum bits and the outside world can randomise the output of a computation, rendering it useless. The current state of the art in quantum computing hardware can provide real quantum operations (state preparations, unitary logic gates, and measurements) that differ from ideal ones by ~0.1% according to commonplace metrics. Current roadmaps anticipate that the remaining errors will be corrected 'in software', using quantum error-correcting codes (sets of states which gain robustness to noise at the cost of storing less information) and fault-tolerant quantum operations that change the logical states without sacrificing robustness. In this lecture, I will provide a broad overview of these states and operations. 

10.35-11.10 - Janos Asboth (Budapest University of Technology and Economics)
How to model coherent errors in the surface code using free fermions

11.10-11.20 - Break 

11.20-11.55 - James Wootton (University of Basel and Moth Quantum)
Quantum Puzzles on Utility Scale Devices
Abstract: Running random quantum circuits is a standard method for benchmarking near-term quantum hardware. Using techniques based on randomized benchmarking, we can get both detailed information on single gate errors as well as device-wide performance metrics. Here we discuss methods that can be interpreted as a simple puzzle, with the random circuit built up from many instances of the puzzle. We discuss results from the initial version of the protocol on IBM Quantum's most advanced systems, as well as showing how it can be integrated into the Mirror Randomized Benchmarking technique.