FlowRouter achieves 2.3× spacetime volume reduction for fault-tolerant quantum compilation by jointly optimizing Clifford routing and magic state cultivation within a single 3D embedding, advancing practical quantum error correction.
#QuantumCompilation #FaultTolerant #Research
#QuantumCompilation #FaultTolerant #Research
Flow-Based Lattice Surgery Compiler with Runtime T Gate Scheduling
arxiv.org
September 22, 2026 at 9:22 AM
FlowRouter achieves 2.3× spacetime volume reduction for fault-tolerant quantum compilation by jointly optimizing Clifford routing and magic state cultivation within a single 3D embedding, advancing practical quantum error correction.
#QuantumCompilation #FaultTolerant #Research
#QuantumCompilation #FaultTolerant #Research
BOPS, a generative model using Schrödinger bridges, optimizes quantum circuits 2.46× on gate count and 2.45× on depth, outperforming nine baseline optimizers while guaranteeing equivalence verification.
#QuantumCompilation #QuantumCircuits #Research
#QuantumCompilation #QuantumCircuits #Research
Quantum Circuit Optimization via Schrödinger Bridges
iq.fp2.dev
September 23, 2026 at 2:41 AM
BOPS, a generative model using Schrödinger bridges, optimizes quantum circuits 2.46× on gate count and 2.45× on depth, outperforming nine baseline optimizers while guaranteeing equivalence verification.
#QuantumCompilation #QuantumCircuits #Research
#QuantumCompilation #QuantumCircuits #Research
Researchers at TU Munich demonstrate that preserving logical program structure (loops, conditionals) during quantum compilation dramatically reduces complexity and enables scalable compilation, addressing critical bottlenecks for future quantum algorithms.
#QuantumCompilation #FaultTolerant #News
#QuantumCompilation #FaultTolerant #News
Structured Quantum Programs Improve Compilation Efficiency for Fault-Tolerant Computing
quantumzeitgeist.com
September 22, 2026 at 2:02 PM
Researchers at TU Munich demonstrate that preserving logical program structure (loops, conditionals) during quantum compilation dramatically reduces complexity and enables scalable compilation, addressing critical bottlenecks for future quantum algorithms.
#QuantumCompilation #FaultTolerant #News
#QuantumCompilation #FaultTolerant #News
QaiJi IR introduces an eight-layer intermediate representation with a five-axis semantic contract for hybrid quantum-classical compilation, enabling preservation of program semantics across circuit, pulse, and device abstraction levels.
#QuantumCompilation #QuantumIR #HybridQC
#QuantumCompilation #QuantumIR #HybridQC
QaiJi IR: Eight-Layer Intermediate Representation for Hybrid Quantum-Classical Compilation
iq.fp2.dev
September 25, 2026 at 6:18 AM
QaiJi IR introduces an eight-layer intermediate representation with a five-axis semantic contract for hybrid quantum-classical compilation, enabling preservation of program semantics across circuit, pulse, and device abstraction levels.
#QuantumCompilation #QuantumIR #HybridQC
#QuantumCompilation #QuantumIR #HybridQC
Preserving control flow structures in quantum programs prevents exponential compilation overhead—demonstrating constant compilation times even as problem size scales, unlike unrolled circuits requiring billions of operations.
#QuantumCompilation #QuantumSoftware #Research
#QuantumCompilation #QuantumSoftware #Research
Structured Quantum Programs for Scalable Compilation
arxiv.org
September 17, 2026 at 3:50 PM
Preserving control flow structures in quantum programs prevents exponential compilation overhead—demonstrating constant compilation times even as problem size scales, unlike unrolled circuits requiring billions of operations.
#QuantumCompilation #QuantumSoftware #Research
#QuantumCompilation #QuantumSoftware #Research
More information: 💡 quantum-compilers.github.io/iwqc2024/
#QuantumComputing
#QuantumCompilation
#QuantumProgramming
#QuantumTechnologies
#QuantumPhysics
#QuantumComputing
#QuantumCompilation
#QuantumProgramming
#QuantumTechnologies
#QuantumPhysics
6th International Workshop on Quantum Compilation
quantum-compilers.github.io
September 12, 2024 at 12:43 PM
MonteQ framework uses Monte Carlo Tree Search to optimize quantum circuit synthesis for Hamiltonian simulation, achieving up to 53% reduction in CNOT gates compared to state-of-the-art compilers like Rustiq.
#QuantumCompilation #HamiltonianSimulation #Research
#QuantumCompilation #HamiltonianSimulation #Research
MonteQ: Monte Carlo Tree Search for Quantum Circuit Synthesis
iq.fp2.dev
April 22, 2026 at 4:39 AM
MonteQ framework uses Monte Carlo Tree Search to optimize quantum circuit synthesis for Hamiltonian simulation, achieving up to 53% reduction in CNOT gates compared to state-of-the-art compilers like Rustiq.
#QuantumCompilation #HamiltonianSimulation #Research
#QuantumCompilation #HamiltonianSimulation #Research
TuniQ uses reinforcement learning to adaptively select quantum compilation passes based on circuit structure and hardware noise, achieving 20% fidelity improvement and 34% faster compilation over state-of-the-art IBM Qiskit.
#QuantumCompilation #QuantumComputing #Research
#QuantumCompilation #QuantumComputing #Research
TuniQ: Adaptive Quantum Compilation Pass Selection System
arxiv.org
May 13, 2026 at 8:23 AM
TuniQ uses reinforcement learning to adaptively select quantum compilation passes based on circuit structure and hardware noise, achieving 20% fidelity improvement and 34% faster compilation over state-of-the-art IBM Qiskit.
#QuantumCompilation #QuantumComputing #Research
#QuantumCompilation #QuantumComputing #Research
HARVEST compiler co-optimizes magic-state consumption with circuit-aware placement and routing for lattice surgery, achieving 4.83× speedup and reclaiming up to 72% unused patches in fault-tolerant quantum systems.
#QuantumCompilation #FaultTolerant #Research
#QuantumCompilation #FaultTolerant #Research
HARVEST: Resource-Aware Quantum Compilation for Magic States
arxiv.org
August 5, 2026 at 7:25 AM
HARVEST compiler co-optimizes magic-state consumption with circuit-aware placement and routing for lattice surgery, achieving 4.83× speedup and reclaiming up to 72% unused patches in fault-tolerant quantum systems.
#QuantumCompilation #FaultTolerant #Research
#QuantumCompilation #FaultTolerant #Research
GadIR compiler leverages spatial topology preservation to optimize Hamiltonian compilation across diverse quantum architectures. Reduces two-qubit gates 44-54% vs. state-of-the-art on superconducting and neutral-atom systems.
#QuantumCompilation #QuantumSimulation #Research
#QuantumCompilation #QuantumSimulation #Research
Spatial-Topology Preserving Compiler for Quantum Many-Body Simulation
arxiv.org
September 3, 2026 at 9:08 AM
GadIR compiler leverages spatial topology preservation to optimize Hamiltonian compilation across diverse quantum architectures. Reduces two-qubit gates 44-54% vs. state-of-the-art on superconducting and neutral-atom systems.
#QuantumCompilation #QuantumSimulation #Research
#QuantumCompilation #QuantumSimulation #Research
ParityQC released the Parity Twine Optimizer, making its compiler technology—which achieved record performance executing the Quantum Fourier Transform—available via IBM Qiskit.
#QuantumCompilation #QuantumOptimization #News
#QuantumCompilation #QuantumOptimization #News
ParityQC Launches Parity Twine Optimizer with Record-Setting Compiler Technology
parityqc.com
September 15, 2026 at 7:44 AM
ParityQC released the Parity Twine Optimizer, making its compiler technology—which achieved record performance executing the Quantum Fourier Transform—available via IBM Qiskit.
#QuantumCompilation #QuantumOptimization #News
#QuantumCompilation #QuantumOptimization #News
SAQC preserves Boolean structure during quantum compilation using a SAT Intermediate Representation, achieving up to 99.87% circuit depth reduction and 96.96% fewer two-qubit gates compared to conventional Hamiltonian-based workflows.
#QAOA #QuantumCompilation #Research
#QAOA #QuantumCompilation #Research
SAQC: SAT-Aware Compilation Framework for QAOA Quantum Optimization
arxiv.org
September 9, 2026 at 5:29 AM
SAQC preserves Boolean structure during quantum compilation using a SAT Intermediate Representation, achieving up to 99.87% circuit depth reduction and 96.96% fewer two-qubit gates compared to conventional Hamiltonian-based workflows.
#QAOA #QuantumCompilation #Research
#QAOA #QuantumCompilation #Research
CircLS implements dynamic data patch allocation for lattice surgery compilation, reducing spacetime volume 5.5× and logical error rate 14× versus prior methods while enabling circuit-level verification of fault-tolerant quantum programs.
#QuantumCompilation #FaultTolerance #QuantumErrorCorrection
#QuantumCompilation #FaultTolerance #QuantumErrorCorrection
CircLS: Dynamic Compilation of Lattice Surgery to Physical Circuits
arxiv.org
August 26, 2026 at 5:41 AM
CircLS implements dynamic data patch allocation for lattice surgery compilation, reducing spacetime volume 5.5× and logical error rate 14× versus prior methods while enabling circuit-level verification of fault-tolerant quantum programs.
#QuantumCompilation #FaultTolerance #QuantumErrorCorrection
#QuantumCompilation #FaultTolerance #QuantumErrorCorrection
ML models predict which Hamiltonian decomposition minimizes CX gates for quantum walk simulations. Training on 8-vertex graphs, our approach identifies optimal Pauli vs. matching decomposition, transferring perfectly to 256-vertex graphs.
#QuantumAlgorithms #QuantumCompilation #Research
#QuantumAlgorithms #QuantumCompilation #Research
Machine Learning for Efficient Hamiltonian Decomposition in Quantum Walk Simulations
arxiv.org
August 24, 2026 at 6:05 AM
ML models predict which Hamiltonian decomposition minimizes CX gates for quantum walk simulations. Training on 8-vertex graphs, our approach identifies optimal Pauli vs. matching decomposition, transferring perfectly to 256-vertex graphs.
#QuantumAlgorithms #QuantumCompilation #Research
#QuantumAlgorithms #QuantumCompilation #Research
Model-based reinforcement learning with Monte Carlo Tree Search achieves 56% gate reduction for Clifford circuit synthesis over standard algorithms and enables hardware-constrained circuit optimization.
#QuantumCompilation #CliffoldCircuits #Research
#QuantumCompilation #CliffoldCircuits #Research
AlphaClifford: Model-Based RL for Clifford Circuit Synthesis and Transpilation
arxiv.org
August 20, 2026 at 4:03 AM
Model-based reinforcement learning with Monte Carlo Tree Search achieves 56% gate reduction for Clifford circuit synthesis over standard algorithms and enables hardware-constrained circuit optimization.
#QuantumCompilation #CliffoldCircuits #Research
#QuantumCompilation #CliffoldCircuits #Research
Novel framework certifies when unitary transformations cannot be implemented in prescribed quantum circuits using Choi-state fidelity optimization. Enables resource lower bounds and device benchmarking.
#QuantumCircuits #QuantumCompilation #Research
#QuantumCircuits #QuantumCompilation #Research
Quantum Circuit Architecture Witnesses: Certifying Implementation Incompatibility
arxiv.org
August 14, 2026 at 3:58 AM
Novel framework certifies when unitary transformations cannot be implemented in prescribed quantum circuits using Choi-state fidelity optimization. Enables resource lower bounds and device benchmarking.
#QuantumCircuits #QuantumCompilation #Research
#QuantumCircuits #QuantumCompilation #Research
Quantum circuit compilation exhibits emergent phase transitions—Ising criticality and higher-order ordered phases arise under crosstalk constraints, revealing how circuit equivalence fundamentally shapes optimization complexity.
#QuantumCompilation #PhaseTransitions #Research
#QuantumCompilation #PhaseTransitions #Research
Phase Transitions in Quantum Circuit Compilation
iq.fp2.dev
August 4, 2026 at 11:23 AM
Quantum circuit compilation exhibits emergent phase transitions—Ising criticality and higher-order ordered phases arise under crosstalk constraints, revealing how circuit equivalence fundamentally shapes optimization complexity.
#QuantumCompilation #PhaseTransitions #Research
#QuantumCompilation #PhaseTransitions #Research
Novel STP-based framework for exact quantum circuit synthesis achieves 100-1000× speedup over SAT methods on small instances and 12.8× parallel speedup on 32 workers, enabling efficient circuit optimization for quantum compilation.
#QuantumCircuits #QuantumCompilation #Optimization
#QuantumCircuits #QuantumCompilation #Optimization
Parallelizable Exact Synthesis of Quantum Circuits via Semi-Tensor Product
arxiv.org
July 28, 2026 at 9:57 AM
Novel STP-based framework for exact quantum circuit synthesis achieves 100-1000× speedup over SAT methods on small instances and 12.8× parallel speedup on 32 workers, enabling efficient circuit optimization for quantum compilation.
#QuantumCircuits #QuantumCompilation #Optimization
#QuantumCircuits #QuantumCompilation #Optimization
ARGON achieves 600× faster quantum compilation for neutral atoms by decoupling spatial constraints from temporal routing, using GNN prediction to overcome critical scalability bottlenecks while improving execution fidelity by 100×.
#NeutralAtoms #QuantumCompilation #Research
#NeutralAtoms #QuantumCompilation #Research
ARGON: Scalable Neutral Atom Quantum Compilation with GNN-Guided Spatiotemporal Decoupling
iq.fp2.dev
July 24, 2026 at 3:33 AM
ARGON achieves 600× faster quantum compilation for neutral atoms by decoupling spatial constraints from temporal routing, using GNN prediction to overcome critical scalability bottlenecks while improving execution fidelity by 100×.
#NeutralAtoms #QuantumCompilation #Research
#NeutralAtoms #QuantumCompilation #Research
Shielded RL with route-charged rewards optimizes parity-term ordering in quantum circuits, achieving 5.7–22.3% CNOT reduction vs. search baselines while maintaining logical equivalence through structural feasibility constraints.
#QuantumCompilation #CircuitOptimization #Research
#QuantumCompilation #CircuitOptimization #Research
Shielded Reinforcement Learning for Parity-Term Ordering in Quantum Circuit Compilation
arxiv.org
July 20, 2026 at 8:50 AM
Shielded RL with route-charged rewards optimizes parity-term ordering in quantum circuits, achieving 5.7–22.3% CNOT reduction vs. search baselines while maintaining logical equivalence through structural feasibility constraints.
#QuantumCompilation #CircuitOptimization #Research
#QuantumCompilation #CircuitOptimization #Research
Novel compiler strategy preserves many-body diagonal phase structure in quantum circuits through Möbius inversion, enabling more efficient native multiqubit gate execution on neutral-atom processors with improved scheduling and fidelity.
#NeutralAtomQubits #QuantumCompilation #Research
#NeutralAtomQubits #QuantumCompilation #Research
Structure-Preserving Compilation for Neutral-Atom Quantum Processors via Möbius Inversion
iq.fp2.dev
July 10, 2026 at 5:22 AM
Novel compiler strategy preserves many-body diagonal phase structure in quantum circuits through Möbius inversion, enabling more efficient native multiqubit gate execution on neutral-atom processors with improved scheduling and fidelity.
#NeutralAtomQubits #QuantumCompilation #Research
#NeutralAtomQubits #QuantumCompilation #Research
Implementing A* quantum circuit mapping natively in MLIR achieves 46% runtime improvement vs QMAP and 74% faster than TKET, advancing efficient compilation for superconducting quantum processors.
#QuantumCompilation #QuantumOptimization #Research
#QuantumCompilation #QuantumOptimization #Research
MLIR-Native Quantum Circuit Mapping with A* Search Algorithm
arxiv.org
July 7, 2026 at 7:11 AM
Implementing A* quantum circuit mapping natively in MLIR achieves 46% runtime improvement vs QMAP and 74% faster than TKET, advancing efficient compilation for superconducting quantum processors.
#QuantumCompilation #QuantumOptimization #Research
#QuantumCompilation #QuantumOptimization #Research
Researchers introduce weighted probability of successful trials (wPST) and machine learning models that improve quantum circuit quality prediction by over 50%, enabling more efficient quantum compilation.
#QuantumCompilation #QuantumAlgorithms #Research
#QuantumCompilation #QuantumAlgorithms #Research
Machine Learning-Based Figures of Merit for Improved Quantum Circuit Compilation
iq.fp2.dev
July 7, 2026 at 3:11 AM
Researchers introduce weighted probability of successful trials (wPST) and machine learning models that improve quantum circuit quality prediction by over 50%, enabling more efficient quantum compilation.
#QuantumCompilation #QuantumAlgorithms #Research
#QuantumCompilation #QuantumAlgorithms #Research
Today is the day: it's time for the “Thinq Qrisp Community Kick-off”. 🚀
➡️ www.fokus.fraunhofer.de/de/event/fok...
#QuantumComputing
#QuantumCompilation
#QuantumProgramming
#QuantumTechnologies
➡️ www.fokus.fraunhofer.de/de/event/fok...
#QuantumComputing
#QuantumCompilation
#QuantumProgramming
#QuantumTechnologies
September 10, 2024 at 2:20 PM
Today is the day: it's time for the “Thinq Qrisp Community Kick-off”. 🚀
➡️ www.fokus.fraunhofer.de/de/event/fok...
#QuantumComputing
#QuantumCompilation
#QuantumProgramming
#QuantumTechnologies
➡️ www.fokus.fraunhofer.de/de/event/fok...
#QuantumComputing
#QuantumCompilation
#QuantumProgramming
#QuantumTechnologies
... hosting the “6th International Workshop on Quantum Compilation”: quantum-compilers.github.io/iwqc2024/
The local organizer of the #IWQC2024 is our scientist Raphael Seidel. It will be three great days and we wish the participants valuable discussions in Berlin!
#quantumcompilation
#ThinqQrisp
The local organizer of the #IWQC2024 is our scientist Raphael Seidel. It will be three great days and we wish the participants valuable discussions in Berlin!
#quantumcompilation
#ThinqQrisp
6th International Workshop on Quantum Compilation
quantum-compilers.github.io
September 9, 2024 at 3:59 PM
... hosting the “6th International Workshop on Quantum Compilation”: quantum-compilers.github.io/iwqc2024/
The local organizer of the #IWQC2024 is our scientist Raphael Seidel. It will be three great days and we wish the participants valuable discussions in Berlin!
#quantumcompilation
#ThinqQrisp
The local organizer of the #IWQC2024 is our scientist Raphael Seidel. It will be three great days and we wish the participants valuable discussions in Berlin!
#quantumcompilation
#ThinqQrisp