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quant-ph2026
Reducing quantum error correction overhead using soft information
Joonas Majaniemi, Elisha S. Matekole
Imperfect measurements are a prevalent source of error across quantum computing platforms, significantly degrading the logical error rates achievable on current hardware. To mitiga…
quant-ph2026★ 12 cited
Mind the gap: Achieving a super-Grover quantum speedup by jumping to the end
Alexander M. Dalzell, Nicola Pancotti, Earl T. Campbell +1
We present a quantum algorithm that has rigorous runtime guarantees for several families of binary optimization problems, including Quadratic Unconstrained Binary Optimization (QUB…
quant-ph2026★ 7 cited
Local Clustering Decoder as a fast and adaptive hardware decoder for the surface code
Abbas B. Ziad, Ankit Zalawadiya, Canberk Topal +4
To avoid prohibitive overheads in performing fault-tolerant quantum computation, the decoding problem needs to be solved accurately and at speeds sufficient for fast feedback. Exis…