Vine codes generalize directional codes to open planar boundaries, delivering up to 28% fewer data/measure qubits at circuit distance 7 and better simulated performance than the surface code at 10^{-3} noise while using fewer total qubits.
Malcolm, Andrew N
8 Pith papers cite this work. Polarity classification is still indexing.
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LightStim automates DEM construction for QEC protocols via a record-augmented Pauli tableau tracker, validated across memory, logical operations, distillation, and a novel cross-code lattice surgery design.
Knill error correction reduces circuit-level decoding for quantum LDPC codes to the simpler code-capacity decoder while remaining fault-tolerant under locally decaying noise.
A new code surgery protocol measures t logically disjoint Pauli products on any LDPC code using O(t ω (log t + log³ω)) ancillas in O(d) time while preserving LDPC property and fault distance.
A qubit-reduction method for hypergraph product codes preserves dimension, distance, and fault-tolerance properties, producing smaller codes such as [[441,64,6]] from [[610,64,6]] with comparable noise performance and compatibility with logical gates.
CAbLECAR provides a robotics-inspired shuttle scheduler that enables QLDPC codes on tileable spin-qubit hardware, yielding up to 86% faster schedules and orders-of-magnitude gains in encoding efficiency and logical error rates over surface codes.
A tree-encoded fusion scheme and MemTree compiler suppress fusion erasure errors in photonic MBQC, achieving large execution-time reductions over prior compilers with real-hardware validation.
Quantum Margulis codes are constructed from classical Margulis LDPC codes via two-block group algebra, enabling linear-complexity min-sum decoding and better error-floor performance than bivariate bicycle codes under code-capacity noise.
citing papers explorer
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Vine Codes: Low-Overhead Quantum LDPC Codes on a Planar Square Grid
Vine codes generalize directional codes to open planar boundaries, delivering up to 28% fewer data/measure qubits at circuit distance 7 and better simulated performance than the surface code at 10^{-3} noise while using fewer total qubits.
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Novelty-Based Generation of Continuous Landscapes with Diverse Local Optima Networks
LightStim automates DEM construction for QEC protocols via a record-augmented Pauli tableau tracker, validated across memory, logical operations, distillation, and a novel cross-code lattice surgery design.
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Simplified circuit-level decoding using Knill error correction
Knill error correction reduces circuit-level decoding for quantum LDPC codes to the simpler code-capacity decoder while remaining fault-tolerant under locally decaying noise.
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Parallel Logical Measurements via Quantum Code Surgery
A new code surgery protocol measures t logically disjoint Pauli products on any LDPC code using O(t ω (log t + log³ω)) ancillas in O(d) time while preserving LDPC property and fault distance.
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Spatial overhead reduction for 2D hypergraph product codes
A qubit-reduction method for hypergraph product codes preserves dimension, distance, and fault-tolerance properties, producing smaller codes such as [[441,64,6]] from [[610,64,6]] with comparable noise performance and compatibility with logical gates.
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CAbLECAR: efficiently scheduling QLDPC codes on a tileable spin qubit chip with shuttling
CAbLECAR provides a robotics-inspired shuttle scheduler that enables QLDPC codes on tileable spin-qubit hardware, yielding up to 86% faster schedules and orders-of-magnitude gains in encoding efficiency and logical error rates over surface codes.
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LightStim: A Framework for QEC Protocol Evaluation and Prototyping with Automated DEM Construction
A tree-encoded fusion scheme and MemTree compiler suppress fusion erasure errors in photonic MBQC, achieving large execution-time reductions over prior compilers with real-hardware validation.
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Construction and Decoding of Quantum Margulis Codes
Quantum Margulis codes are constructed from classical Margulis LDPC codes via two-block group algebra, enabling linear-complexity min-sum decoding and better error-floor performance than bivariate bicycle codes under code-capacity noise.