activity
20232026
most citedQuantum error correction below the surface code threshold

702 citations · 834 across the 5 of their papers we have counts for

collaborators

7 papers

quant-ph2026

Low-Overhead Quantum Error Correction with Boundary-Connected Planar Modules

Oscar Higgott, Hasan Sayginel, Francisco J. H. Heras +11

Realizing practical quantum computers requires quantum error correction, but the most widely implemented approach, the planar surface code, demands a substantial physical qubit ove…

quant-ph2025★ 2 cited

A scalable and real-time neural decoder for topological quantum codes

Andrew W. Senior, Thomas Edlich, Francisco J. H. Heras +21

Fault-tolerant quantum computing will require error rates far below those achievable with physical qubits. Quantum error correction (QEC) bridges this gap, but depends on decoders…

quant-ph2025

Reinforcement Learning Control of Quantum Error Correction

Volodymyr Sivak, Alexis Morvan, Michael Broughton +296

Quantum error correction (QEC) is the primary strategy for protecting a quantum computer from the environment. Its prerequisite is that errors must remain sufficiently rare, which…

quant-ph2024★ 47 cited

Scaling and logic in the color code on a superconducting quantum processor

Nathan Lacroix, Alexandre Bourassa, Francisco J. H. Heras +212

Quantum error correction is essential for bridging the gap between the error rates of physical devices and the extremely low logical error rates required for quantum algorithms. Re…

math.GT2024

The unknotting number, hard unknot diagrams, and reinforcement learning

Taylor Applebaum, Sam Blackwell, Alex Davies +5

We have developed a reinforcement learning agent that often finds a minimal sequence of unknotting crossing changes for a knot diagram with up to 200 crossings, hence giving an upp…

quant-ph2024★ 702 cited

Quantum error correction below the surface code threshold

Rajeev Acharya, Laleh Aghababaie-Beni, Igor Aleiner +246

Quantum error correction provides a path to reach practical quantum computing by combining multiple physical qubits into a logical qubit, where the logical error rate is suppressed…

quant-ph2023★ 83 cited

Learning to Decode the Surface Code with a Recurrent, Transformer-Based Neural Network

Johannes Bausch, Andrew W Senior, Francisco J H Heras +15

Quantum error-correction is a prerequisite for reliable quantum computation. Towards this goal, we present a recurrent, transformer-based neural network which learns to decode the…