We’re working with Q-CTRL to explore one of the most important challenges in quantum computing: how error suppression and error correction work together on the path to large-scale, fault-tolerant systems.
As quantum hardware scales, progress depends on understanding performance and limiting factors at the logical qubit. The interaction between different noise types, control, and the choice of error-correction codes, architectures, and decoders remains complex, yet these choices directly shape hardware roadmaps and investment decisions.
QC Design’s Plaquette enables hardware teams to analyze fault-tolerance performance under realistic hardware imperfections, including key metrics such as thresholds and logical to physical overheads. Plaquette is thus the tool of choice for understanding the fault-tolerance impact of techniques such as error suppression.
Q-CTRL’s Fire Opal automatically suppresses errors, delivering significant gains in circuit depth, accuracy, and cost for challenging quantum workloads. Their optimized control design and automation calibration product, Boulder Opal, supports this by enabling more robust and reliable quantum operations at the hardware level.
It’s well established that modern error suppression techniques improve error correction performance. We intend to go beyond initial demonstrations and provide more detailed quantitative analysis on logical level gains across a range of error suppression methods and error correction codes. Together, we are helping the industry make more confident architectural and resource decisions as we move to fault-tolerant quantum computing.
