Co-designing Quantum Error Correction and Near-Term Hardware

Time constraints are important to consider within any paradigm of quantum computing. Algorithms should be executed quickly and efficiently; within the coherence window of the qubits. Implementing algorithms on real hardware consists of several primitives including gates, cooling and possibly transport steps, depending on the hardware implementation, all of which have temporal overhead. Executing these operations too slowly can result in errors and possibly complete decoherence of the qubits. Executing these primitives too quickly leaves little room for the feed-forward controls necessary for most quantum error correction protocols. Thus a compromise should exist between speed and latency, utilizing time for efficiency. In this talk, I will discuss this balancing act and explore how the Honeywell System Model H1 quantum computer leverages time to implement crucial features of quantum error correction, including real-time corrections and decoding.