Quantum Computers Link Qubit Encoding To Lower Errors

Deakin University research details optimisation of encodings for distributing quantum computations across multiple nodes. Improving performance during operations like transversal CNOT gates is achieved by prioritising error reduction, revealing that minimising communication resources isn’t always best. Larger distance encodings, even with increased qubit numbers overall, can lower error rates during complex calculations. The team also showed a self-dual encoding enables eight simultaneous logical GCZ operations using one physical gate operation.

Minimising connections alone does not guarantee optimal performance when constructing large quantum computers from smaller interconnected components. Reducing errors during computation should be prioritised; utilising more connecting resources proves beneficial if it lowers these error rates. This principle was demonstrated using ‘bivariate-bicycle’ encodings, a method of protecting quantum information, showing how selecting codes with greater capacity for error correction enables multiple complex calculations to occur simultaneously across distributed systems.

Optimisation of encodings for distributing quantum computations across multiple nodes has been detailed by Deakin University research, finding that prioritising error reduction over simply minimising communication resources improves performance. This was demonstrated using ‘bivariate-bicycle’ codes, a method of protecting information akin to repeatedly writing a message with different types of redundancy to ensure it survives transmission. A key discovery was the ability to perform eight simultaneous logical GCZ operations from one physical gate operation utilising a self-dual encoding, though selecting an optimal approach requires careful consideration of trade-offs between code distance and internode connections.