Optimized Compilation of Logical Clifford Circuits
- URL: http://arxiv.org/abs/2602.12831v1
- Date: Fri, 13 Feb 2026 11:35:11 GMT
- Title: Optimized Compilation of Logical Clifford Circuits
- Authors: Alexander Popov, Nico Meyer, Daniel D. Scherer, Guido Dietl,
- Abstract summary: Gate-by-gate compilation often yields deep circuits.<n>We focus on the compilation of primitives from quantum simulation as single blocks.<n>We introduce a methodology that lifts these primitives into size-invariant, depth-efficient compilation strategies.
- Score: 41.67570087491999
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Fault-tolerant quantum computing hinges on efficient logical compilation, in particular, translating high-level circuits into code-compatible implementations. Gate-by-gate compilation often yields deep circuits, requiring significant overhead to ensure fault-tolerance. As an alternative, we investigate the compilation of primitives from quantum simulation as single blocks. We focus our study on the [[n,n-2,2]] code family, which allows for the exhaustive comparison of potential compilation primitives on small circuit instances. Based upon that, we then introduce a methodology that lifts these primitives into size-invariant, depth-efficient compilation strategies. This recovers known methods for circuits with moderate Hadamard counts and yields improved realizations for sparse and dense placements. Simulations show significant error-rate reductions in the compiled circuits. We envision the approach as a core component of peephole-based compilers. Its flexibility and low hand-crafting burden make it readily extensible to other circuit structures and code families.
Related papers
- TopoLS: Lattice Surgery Compilation via Topological Program Transformations [6.387941081167297]
TopoLS is a topological compiler that combines ZX-diagram optimizations with Monte Carlo tree search guided by different operation placements and topology-aware circuit partitioning.<n>Compared to the SAT-solver-based compiler, TopoLS offers an effective and scalable solution for lattice-surgery compilation.
arXiv Detail & Related papers (2026-01-30T15:54:57Z) - Block Encoding Linear Combinations of Pauli Strings Using the Stabilizer Formalism [0.0]
We introduce a novel method for constructing quantum circuits that block encode linear combinations of Pauli strings.<n>We present four concrete examples and use numerical simulations to compare our method's circuit complexity with that of the Linear Combination of Unitaries (LCU) approach.
arXiv Detail & Related papers (2026-01-09T11:41:46Z) - Exploiting Movable Logical Qubits for Lattice Surgery Compilation [43.290156259065554]
We introduce a paradigm shift by exploiting movable logical qubits via teleportation during the logical lattice surgery CNOT gate.<n> Numerical simulations show that the proposed approach can substantially reduce the routed circuit depth.<n>An open-source implementation of our method is available on GitHub.
arXiv Detail & Related papers (2025-12-03T19:00:04Z) - Context-Guided Decompilation: A Step Towards Re-executability [50.71992919223209]
Binary decompilation plays an important role in software security analysis, reverse engineering and malware understanding.<n>Recent advances in large language models (LLMs) have enabled neural decompilation, but the generated code is typically only semantically plausible.<n>We propose ICL4Decomp, a hybrid decompilation framework that leverages in-context learning (ICL) to guide LLMs toward generating re-executable source code.
arXiv Detail & Related papers (2025-11-03T17:21:39Z) - Fast correlated decoding of transversal logical algorithms [67.01652927671279]
Quantum error correction (QEC) is required for large-scale computation, but incurs a significant resource overhead.<n>Recent advances have shown that by jointly decoding logical qubits in algorithms composed of logical gates, the number of syndrome extraction rounds can be reduced.<n>Here, we reform the problem of decoding circuits by directly decoding relevant logical operator products as they propagate through the circuit.
arXiv Detail & Related papers (2025-05-19T18:00:00Z) - ReF Decompile: Relabeling and Function Call Enhanced Decompile [50.86228893636785]
The goal of decompilation is to convert compiled low-level code (e.g., assembly code) back into high-level programming languages.<n>This task supports various reverse engineering applications, such as vulnerability identification, malware analysis, and legacy software migration.
arXiv Detail & Related papers (2025-02-17T12:38:57Z) - Finding Transformer Circuits with Edge Pruning [71.12127707678961]
We propose Edge Pruning as an effective and scalable solution to automated circuit discovery.<n>Our method finds circuits in GPT-2 that use less than half the number of edges compared to circuits found by previous methods.<n>Thanks to its efficiency, we scale Edge Pruning to CodeLlama-13B, a model over 100x the scale that prior methods operate on.
arXiv Detail & Related papers (2024-06-24T16:40:54Z) - Dependency-Aware Compilation for Surface Code Quantum Architectures [7.543907169342984]
We study the problem of compiling quantum circuits for quantum computers implementing surface codes.<n>We solve this problem efficiently and near-optimally with a novel algorithm.<n>Our evaluation shows that our approach is powerful and flexible for compiling realistic workloads.
arXiv Detail & Related papers (2023-11-29T19:36:19Z) - Tractable Bounding of Counterfactual Queries by Knowledge Compilation [51.47174989680976]
We discuss the problem of bounding partially identifiable queries, such as counterfactuals, in Pearlian structural causal models.
A recently proposed iterated EM scheme yields an inner approximation of those bounds by sampling the initialisation parameters.
We show how a single symbolic knowledge compilation allows us to obtain the circuit structure with symbolic parameters to be replaced by their actual values.
arXiv Detail & Related papers (2023-10-05T07:10:40Z) - A High Performance Compiler for Very Large Scale Surface Code Computations [38.26470870650882]
We present the first high performance compiler for very large scale quantum error correction.
It translates an arbitrary quantum circuit to surface code operations based on lattice surgery.
The compiler can process millions of gates using a streaming pipeline at a speed geared towards real-time operation of a physical device.
arXiv Detail & Related papers (2023-02-05T19:06:49Z) - Quantum Circuit Optimization and Transpilation via Parameterized Circuit
Instantiation [0.0]
We describe algorithms to apply instantiation during two common compilation steps: circuit optimization and gate-set transpilation.
Our circuit optimization algorithm produces circuits with an average of 13% fewer gates than other optimizing compilers.
Our gate-set transpilation algorithm can target any gate-set, even sets with multiple two-qubit gates, and produces circuits with an average of 12% fewer two-qubit gates than other compilers.
arXiv Detail & Related papers (2022-06-16T02:22:08Z) - Efficient Quantum Circuit Design with a Standard Cell Approach, with an Application to Neutral Atom Quantum Computers [45.66259474547513]
We design quantum circuits by using the standard cell approach borrowed from classical circuit design.
We present evidence that, when compared with automatic routing methods, our layout-aware routers are significantly faster and achieve shallower 3D circuits.
arXiv Detail & Related papers (2022-06-10T10:54:46Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.