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MQT Predictor: Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-21500-2_10openalex-snapshot
An Efficient Method for Quantum Circuit Placement Problem on a 2-D Grid
inferredcites →https://doi.org/10.1007/978-3-030-64846-6_5openalex-snapshot
The NISQ Analyzer: Automating the Selection of Quantum Computers for Quantum Algorithms
inferredcites →https://doi.org/10.1007/978-3-030-87568-8_4openalex-snapshot
Automating the Comparison of Quantum Compilers for Quantum Circuits
inferredcites →https://doi.org/10.1007/978-3-031-18304-1_9openalex-snapshot
Optimizing the Prioritization of Compiled Quantum Circuits by Machine Learning Approaches
inferredcites →https://doi.org/10.1007/978-3-319-99498-7_16openalex-snapshot
Quantum Circuit Optimization by Changing the Gate Order for 2D Nearest Neighbor Architectures
inferredcites →https://doi.org/10.1007/s11128-020-02816-0openalex-snapshot
Advanced exact synthesis of Clifford+T circuits
inferredcites →https://doi.org/10.1007/s42979-021-00592-xopenalex-snapshot
Machine Learning: Algorithms, Real-World Applications and Research Directions
inferredcites →https://doi.org/10.1016/0925-2312(95)90026-8openalex-snapshot
Neural networks — A comprehensive foundation
inferredcites →https://doi.org/10.1038/ncomms5213openalex-snapshot
A variational eigenvalue solver on a photonic quantum processor
inferredcites →https://doi.org/10.1038/s41534-019-0223-2openalex-snapshot
Quantum Generative Adversarial Networks for learning and loading random distributions
inferredcites →https://doi.org/10.1088/2058-9565/ab8e92openalex-snapshot
t|ket⟩: a retargetable compiler for NISQ devices
inferredcites →https://doi.org/10.1103/physreva.69.010301openalex-snapshot
Universal quantum circuit for two-qubit transformations with three controlled-NOT gates
inferredcites →https://doi.org/10.1103/physreva.87.032332openalex-snapshot
Exact synthesis of multiqubit Clifford+ T circuits
inferredcites →https://doi.org/10.1109/cgo.2006.37openalex-snapshot
Using Machine Learning to Focus Iterative Optimization
inferredcites →https://doi.org/10.1109/dac56929.2023.10248002openalex-snapshot
Compiler Optimization for Quantum Computing Using Reinforcement Learning
inferredcites →https://doi.org/10.1109/fdl50818.2020.9232934openalex-snapshot
Machine Learning in Compilers: Past, Present and Future
inferredcites →https://doi.org/10.1109/hpca53966.2022.00050openalex-snapshot
SupermarQ: A Scalable Quantum Benchmark Suite
inferredcites →https://doi.org/10.1109/ismvl.2011.54openalex-snapshot
Elementary Quantum Gate Realizations for Multiple-Control Toffoli Gates
inferredcites →https://doi.org/10.1109/ismvl57333.2023.00035openalex-snapshot
Towards an Automated Framework for Realizing Quantum Computing Solutions
inferredcites →https://doi.org/10.1109/qce57702.2023.00079openalex-snapshot
A Hybrid Classical Quantum Computing Approach to the Satellite Mission Planning Problem
inferredcites →https://doi.org/10.1109/qce57702.2023.00095openalex-snapshot
Depth-Optimal Synthesis of Clifford Circuits with SAT Solvers
inferredcites →https://doi.org/10.1109/qce57702.2023.10179openalex-snapshot
qgym: A Gym for Training and Benchmarking RL-Based Quantum Compilation
inferredcites →https://doi.org/10.1109/qcs56647.2022.00013openalex-snapshot
Predicting the Optimizability for Workflow Decisions
inferredcites →https://doi.org/10.1109/qsw59989.2023.00015openalex-snapshot
Predicting Good Quantum Circuit Compilation Options
inferredcites →https://doi.org/10.1109/qsw62656.2024.00013openalex-snapshot
The MQT Handbook : A Summary of Design Automation Tools and Software for Quantum Computing
inferredcites →https://doi.org/10.1109/saner53432.2022.00150openalex-snapshot
Prioritization of Compiled Quantum Circuits for Different Quantum Computers
inferredcites →https://doi.org/10.1109/tcad.2007.911334openalex-snapshot
Quantum Circuit Simplification and Level Compaction
inferredcites →https://doi.org/10.1109/tcad.2013.2244643openalex-snapshot
A Meet-in-the-Middle Algorithm for Fast Synthesis of Depth-Optimal Quantum Circuits
inferredcites →https://doi.org/10.1109/tit.1967.1053964openalex-snapshot
Nearest neighbor pattern classification
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1145/3197978openalex-snapshot
A Survey on Compiler Autotuning using Machine Learning
inferredcites →https://doi.org/10.1145/3287624.3287701openalex-snapshot
Quantum circuit compilers using gate commutation rules
inferredcites →https://doi.org/10.1145/3287624.3287704openalex-snapshot
Compiling SU(4) quantum circuits to IBM QX architectures
inferredcites →https://doi.org/10.1145/3297858.3304023openalex-snapshot
Tackling the Qubit Mapping Problem for NISQ-Era Quantum Devices
inferredcites →https://doi.org/10.1145/3316781.3317859openalex-snapshot
Mapping Quantum Circuits to IBM QX Architectures Using the Minimal Number of SWAP and H Operations
inferredcites →https://doi.org/10.1145/3394885.3431604openalex-snapshot
Exploiting Quantum Teleportation in Quantum Circuit Mapping
inferredcites →https://doi.org/10.1145/3565271openalex-snapshot
Machine Learning Optimization of Quantum Circuit Layouts
inferredcites →https://doi.org/10.1145/3593594openalex-snapshot
On Optimal Subarchitectures for Quantum Circuit Mapping
inferredcites →https://doi.org/10.1145/3649329.3655959openalex-snapshot
Hybrid Circuit Mapping: Leveraging the Full Spectrum of Computational Capabilities of Neutral Atom Quantum Computers
inferredcites →https://doi.org/10.1214/aos/1013203451openalex-snapshot
Greedy function approximation: A gradient boosting machine.
inferredcites →https://doi.org/10.1512/iumj.1957.6.56038openalex-snapshot
A Markovian Decision Process
inferredcites →https://doi.org/10.22331/q-2020-07-06-291openalex-snapshot
Option Pricing using Quantum Computers
inferredcites →https://doi.org/10.22331/q-2021-03-22-415openalex-snapshot
Application-Motivated, Holistic Benchmarking of a Full Quantum Computing Stack
inferredcites →https://doi.org/10.22331/q-2023-07-20-1062openalex-snapshot
MQT Bench: Benchmarking Software and Design Automation Tools for Quantum Computing
inferredcites →https://doi.org/10.23919/date.2018.8342181openalex-snapshot
Efficient mapping of quantum circuits to the IBM QX architectures
inferredcites →https://doi.org/10.3929/ethz-b-000382432openalex-snapshot
Quantum Generative Adversarial Networks for learning and loading random distributions
inferredcites →https://doi.org/10.4230/oasics.dx.2024.16openalex-snapshot
Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short Paper)
inferredcites →https://doi.org/10.48550/arxiv.2003.00671openalex-snapshot
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.2101.04808openalex-snapshot
MLGO: a Machine Learning Guided Compiler Optimizations Framework
inferredcites →https://doi.org/10.48550/arxiv.2103.07585openalex-snapshot
Quantum circuit optimization with deep reinforcement learning
inferredcites →https://doi.org/10.48550/arxiv.2405.08810openalex-snapshot
Quantum computing with Qiskit
inferredcites →https://doi.org/10.5220/0011775300003488openalex-snapshot
How to Select Quantum Compilers and Quantum Computers Before Compilation
inferredcites →https://doi.org/10.5555/1953048.2078195openalex-snapshot
Scikit-learn: Machine Learning in Python
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-94263-1_12openalex-snapshot
Optimizing Initial Qubit Mappings Under Fixed Gate Error Rates Using Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1007/978-3-032-30839-9_9openalex-snapshot
Toward Quantum Circuit Execution Success Estimation via Graph Neural Network-Based Prediction
inferred← citeshttps://doi.org/10.1016/j.future.2024.04.030openalex-snapshot
Paving the way to hybrid quantum–classical scientific workflows
inferred← citeshttps://doi.org/10.1103/5r9m-y6z6openalex-snapshot
Data-efficient quantum noise modeling via machine learning
inferred← citeshttps://doi.org/10.1109/fuzz69877.2026.11626470openalex-snapshot
An Explainable Fuzzy Logic-Based Approach to Quantum Backend Selection
inferred← citeshttps://doi.org/10.1109/qce60285.2024.00098openalex-snapshot
An Abstract Model and Efficient Routing for Logical Entangling Gates on Zoned Neutral Atom Architectures
inferred← citeshttps://doi.org/10.1109/qce60285.2024.00121openalex-snapshot
A Predictive Approach for Selecting the Best Quantum Solver for an Optimization Problem
inferred← citeshttps://doi.org/10.1109/qce60285.2024.10294openalex-snapshot
SCIM MILQ: An HPC Quantum Scheduler
inferred← citeshttps://doi.org/10.1109/qce60285.2024.10297openalex-snapshot
Achieving Pareto-Optimality in Quantum Circuit Compilation via a Multi-Objective Heuristic Optimization Approach
inferred← citeshttps://doi.org/10.1109/qce65121.2025.00079openalex-snapshot
Improving Hardware Requirements for Fault-Tolerant Quantum Computing by Optimizing Error Budget Distributions
inferred← citeshttps://doi.org/10.1109/qce65121.2025.00207openalex-snapshot
Application-Driven Benchmarking of the Traveling Salesperson Problem: a Quantum Hardware Deep-Dive
inferred← citeshttps://doi.org/10.1109/qce65121.2025.10339openalex-snapshot
Graph Neural Network-Based Predictor for Optimal Quantum Hardware Selection
inferred← citeshttps://doi.org/10.1109/qsw62656.2024.00013openalex-snapshot
The MQT Handbook : A Summary of Design Automation Tools and Software for Quantum Computing
inferred← citeshttps://doi.org/10.1109/qsw62656.2024.00028openalex-snapshot
Towards Application-Aware Quantum Circuit Compilation
inferred← citeshttps://doi.org/10.1109/qsw67625.2025.00032openalex-snapshot
ProvideQ: A Quantum Optimization Toolbox
inferred← citeshttps://doi.org/10.1109/qsw72780.2026.00023openalex-snapshot
Fidelity-Based Quantum Device Selection Using Graph Neural Networks
inferred← citeshttps://doi.org/10.1140/epjqt/s40507-025-00413-7openalex-snapshot
Stacking the odds: full-stack quantum system design space exploration
inferred← citeshttps://doi.org/10.1145/3669940.3707240openalex-snapshot
Optimizing Quantum Circuits, Fast and Slow
inferred← citeshttps://doi.org/10.1145/3716368.3735298openalex-snapshot
Inverse-Transpilation: Reverse-Engineering Quantum Compiler Optimization Passes from Circuit Snapshots
inferred← citeshttps://doi.org/10.1145/3746709.3746950openalex-snapshot
A Portable Auto-Tuning Framework for Quantum Compilation Optimization Based on D3QN
inferred← citeshttps://doi.org/10.1145/3773656.3773669openalex-snapshot
The Munich Quantum Software Stack: Connecting End Users, Integrating Diverse Quantum Technologies, Accelerating HPC
inferred← citeshttps://doi.org/10.23919/date64628.2025.10992761openalex-snapshot
Improving Figures of Merit for Quantum Circuit Compilation
inferred← citeshttps://doi.org/10.3390/app16136346openalex-snapshot
QC-MM: A Metadata and Schema Model for Traceable Quantum-Circuit Experiments
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