On the public citation graph
Machine Learning Optimization of Quantum Circuit Layouts
0 signed · 91 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-14082-3_18openalex-snapshot
On the Influence of Initial Qubit Placement During NISQ Circuit Compilation
inferredcites →https://doi.org/10.1007/s10115-007-0114-2openalex-snapshot
Top 10 algorithms in data mining
inferredcites →https://doi.org/10.1007/s41965-019-00023-0openalex-snapshot
Hyperparameter optimization in learning systems
inferredcites →https://doi.org/10.1038/s41467-018-07090-4openalex-snapshot
Barren plateaus in quantum neural network training landscapes
inferredcites →https://doi.org/10.1088/2058-9565/ab79b1openalex-snapshot
Quantum circuit optimizations for NISQ architectures
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.100.032308openalex-snapshot
Automated distribution of quantum circuits via hypergraph partitioning
inferredcites →https://doi.org/10.1103/physreva.52.3457openalex-snapshot
Elementary gates for quantum computation
inferredcites →https://doi.org/10.1103/physrevlett.121.050502openalex-snapshot
Quantum Error Correction with Only Two Extra Qubits
inferredcites →https://doi.org/10.1103/physrevlett.125.170501openalex-snapshot
Topological Quantum Compiling with Reinforcement Learning
inferredcites →https://doi.org/10.1103/physrevx.8.031027openalex-snapshot
Practical Quantum Error Mitigation for Near-Future Applications
inferredcites →https://doi.org/10.1109/iccad45719.2019.8942077openalex-snapshot
2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
inferredcites →https://doi.org/10.1109/qce49297.2020.00041openalex-snapshot
Classical Optimizers for Noisy Intermediate-Scale Quantum Devices
inferredcites →https://doi.org/10.1109/qce49297.2020.00050openalex-snapshot
Just-in-time Quantum Circuit Transpilation Reduces Noise
inferredcites →https://doi.org/10.1109/tc.2020.3009140openalex-snapshot
Optimality Study of Existing Quantum Computing Layout Synthesis Tools
inferredcites →https://doi.org/10.1109/tcad.2007.911334openalex-snapshot
Quantum Circuit Simplification and Level Compaction
inferredcites →https://doi.org/10.1109/tcad.2018.2846658openalex-snapshot
An Efficient Methodology for Mapping Quantum Circuits to the IBM QX Architectures
inferredcites →https://doi.org/10.1117/1.jrs.11.015020openalex-snapshot
Graph-based approach for airborne light detection and ranging segmentation
inferredcites →https://doi.org/10.1145/2431211.2431220openalex-snapshot
Synthesis and optimization of reversible circuits—a survey
inferredcites →https://doi.org/10.1145/2541940openalex-snapshot
Proceedings of the 19th international conference on Architectural support for programming languages and operating systems
inferredcites →https://doi.org/10.1145/3297858.3304007openalex-snapshot
Not All Qubits Are Created Equal
inferredcites →https://doi.org/10.1145/3297858.3304023openalex-snapshot
Tackling the Qubit Mapping Problem for NISQ-Era Quantum Devices
inferredcites →https://doi.org/10.1145/3360546openalex-snapshot
Qubit allocation as a combination of subgraph isomorphism and token swapping
inferredcites →https://doi.org/10.1145/3373376.3378477openalex-snapshot
Software Mitigation of Crosstalk on Noisy Intermediate-Scale Quantum Computers
inferredcites →https://doi.org/10.1145/3520434openalex-snapshot
Using Reinforcement Learning to Perform Qubit Routing in Quantum Compilers
inferredcites →https://doi.org/10.1561/2200000006openalex-snapshot
Learning Deep Architectures for AI
inferredcites →https://doi.org/10.1561/9781601982957openalex-snapshot
Learning Deep Architectures for AI
inferredcites →https://doi.org/10.15837/ijccc.2019.2.3514openalex-snapshot
Weighted Random Search for Hyperparameter Optimization
inferredcites →https://doi.org/10.15837/ijccc.2020.2.3868openalex-snapshot
Weighted Random Search for CNN Hyperparameter Optimization
inferredcites →https://doi.org/10.1609/socs.v9i1.18463openalex-snapshot
On the Complexity of Quantum Circuit Compilation
inferredcites →https://doi.org/10.22331/q-2018-08-06-79openalex-snapshot
Quantum Computing in the NISQ era and beyond
inferredcites →https://doi.org/10.22331/q-2020-06-04-279openalex-snapshot
Graph-theoretic Simplification of Quantum Circuits with the ZX-calculus
inferredcites →https://doi.org/10.26421/qic4.4-1openalex-snapshot
Implementation of Shor's algorithm on a linear nearest neighbour qubit array
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.48550/arxiv.2004.03004openalex-snapshot
Classical Optimizers for Noisy Intermediate-Scale Quantum Devices
inferredcites →https://doi.org/10.48550/arxiv.2004.05117openalex-snapshot
A Jordan-Wigner gadget that reduces T count by more than 6x for quantum chemistry applications
inferredcites →https://doi.org/10.48550/arxiv.2005.13018openalex-snapshot
QASMBench: A Low-level QASM Benchmark Suite for NISQ Evaluation and Simulation
inferredcites →https://doi.org/10.5555/1953048.2078195openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.5555/2011827.2011828openalex-snapshot
Implementation of Shor's algorithm on a linear nearest neighbour qubit array
inferredcites →https://doi.org/10.5555/2627435.2697065openalex-snapshot
Do we need hundreds of classifiers to solve real world classification problems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/qute.202500125openalex-snapshot
An Efficient Iterative Algorithm for Qubit Mapping Via Layer‐Weight Assignment and Search Space Reduction
inferred← citeshttps://doi.org/10.1007/978-3-032-13883-5_6openalex-snapshot
Cirquitous: A Possible Exploration of Solving Quantum Circuit Challenges Using Human Natural Language
inferred← citeshttps://doi.org/10.1007/978-3-032-14163-7_19openalex-snapshot
Quantum Circuits Compilation for Superconducting Quantum Processing Units: A Systematic Mapping Study
inferred← citeshttps://doi.org/10.1007/s10791-025-09634-xopenalex-snapshot
Design and implementation of quantum hippo inspired convolutional neural networks using parametric quantum circuits for an efficient lung cancer classification
inferred← citeshttps://doi.org/10.1007/s11433-022-2057-yopenalex-snapshot
Near-term quantum computing techniques: Variational quantum algorithms, error mitigation, circuit compilation, benchmarking and classical simulation
inferred← citeshttps://doi.org/10.1007/s13218-024-00871-8openalex-snapshot
Quantum Artificial Intelligence: A Brief Survey
inferred← citeshttps://doi.org/10.1007/s42452-025-08139-yopenalex-snapshot
Reinforcement learning for optimizing large qubit array based quantum sensor circuits
inferred← citeshttps://doi.org/10.1007/s42484-024-00201-zopenalex-snapshot
Swarm-intelligence-based quantum-inspired optimization techniques for enhancing algorithmic efficiency and empirical assessment
inferred← citeshttps://doi.org/10.1016/j.swevo.2025.101923openalex-snapshot
Quantum circuit mapping based on discrete particle swarm optimization and deep reinforcement learning
inferred← citeshttps://doi.org/10.1038/s41534-023-00766-wopenalex-snapshot
Quantum logic gate synthesis as a Markov decision process
inferred← citeshttps://doi.org/10.1038/s41598-024-64061-0openalex-snapshot
QM-DLA: an efficient qubit mapping method based on dynamic look-ahead strategy
inferred← citeshttps://doi.org/10.1049/qtc2.70026openalex-snapshot
Quantum Machine Learning Applications to Medical Images: A Survey
inferred← citeshttps://doi.org/10.1088/1367-2630/ace077openalex-snapshot
Exploring ab initio machine synthesis of quantum circuits
inferred← citeshttps://doi.org/10.1088/2058-9565/abe665openalex-snapshot
NISQ circuit compilation is the travelling salesman problem on a torus
inferred← citeshttps://doi.org/10.1109/access.2024.3516490openalex-snapshot
Meta Learning Strategies for Comparative and Efficient Adaptation to Financial Datasets
inferred← citeshttps://doi.org/10.1109/access.2025.3638794openalex-snapshot
Quantum Multi-Strategy Fusion Mapping Optimization: An Algorithm for Quantum Circuit
inferred← citeshttps://doi.org/10.1109/cgo68049.2026.11394841openalex-snapshot
Dependence-Driven, Scalable Quantum Circuit Mapping with Affine Abstractions
inferred← citeshttps://doi.org/10.1109/dac56929.2023.10248002openalex-snapshot
Compiler Optimization for Quantum Computing Using Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/ets50041.2021.9465405openalex-snapshot
Test Data-Driven Machine Learning Models for Reliable Quantum Circuit Output
inferred← citeshttps://doi.org/10.1109/iccd56317.2022.00030openalex-snapshot
Machine Learning for Quantum Hardware Performance Assessment
inferred← citeshttps://doi.org/10.1109/icrc60800.2023.10386864openalex-snapshot
Cost Explosion for Efficient Reinforcement Learning Optimisation of Quantum Circuits
inferred← citeshttps://doi.org/10.1109/icsccc69031.2026.11600266openalex-snapshot
A Quantum Guided Elite Initialization Framework for Framework Roboust Nearest Neighbour Circuit Optimization
inferred← citeshttps://doi.org/10.1109/ictacs59847.2023.10390350openalex-snapshot
Quantum Odyssey: Traversing the NISQ Era's Quantum Terrain
inferred← citeshttps://doi.org/10.1109/qce57702.2023.10179openalex-snapshot
qgym: A Gym for Training and Benchmarking RL-Based Quantum Compilation
inferred← citeshttps://doi.org/10.1109/qce60285.2024.00102openalex-snapshot
Unitary Synthesis of Clifford+T Circuits with Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/qce60285.2024.00181openalex-snapshot
Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation
inferred← citeshttps://doi.org/10.1109/qce65121.2025.00083openalex-snapshot
Physically-Aware Qubit Reuse for Optimized Quantum Circuit Compilation Using Machine Learning
inferred← citeshttps://doi.org/10.1109/qsw72780.2026.00023openalex-snapshot
Fidelity-Based Quantum Device Selection Using Graph Neural Networks
inferred← citeshttps://doi.org/10.1109/southeastcon63549.2026.11476481openalex-snapshot
Evaluating the Efficacy of Quantum Machine Learning at Detecting Advance-Fee Fraud Attacks
inferred← citeshttps://doi.org/10.1109/tc.2024.3441825openalex-snapshot
A Mutual-Influence-Aware Heuristic Method for Quantum Circuit Mapping
inferred← citeshttps://doi.org/10.1109/tcad.2022.3179223openalex-snapshot
Supervised Learning Enhanced Quantum Circuit Transformation
inferred← citeshttps://doi.org/10.1109/tcad.2022.3202430openalex-snapshot
Data-Driven Reliability Models of Quantum Circuit: From Traditional ML to Graph Neural Network
inferred← citeshttps://doi.org/10.1109/tcad.2023.3340608openalex-snapshot
Noise Adaptive Quantum Circuit Mapping Using Reinforcement Learning and Graph Neural Network
inferred← citeshttps://doi.org/10.1140/epjqt/s40507-026-00496-wopenalex-snapshot
Traversing Gaussian and non-Gaussian regimes in photonic quantum simulators: a review
inferred← citeshttps://doi.org/10.1145/3490172openalex-snapshot
Energy Cost of Quantum Circuit Optimisation: Predicting That Optimising Shor’s Algorithm Circuit Uses 1 GWh
inferred← citeshttps://doi.org/10.1145/3593594openalex-snapshot
On Optimal Subarchitectures for Quantum Circuit Mapping
inferred← citeshttps://doi.org/10.1145/3673241openalex-snapshot
MQT Predictor: Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing
inferred← citeshttps://doi.org/10.1145/3689826openalex-snapshot
Realistic Cost to Execute Practical Quantum Circuits using Direct Clifford+T Lattice Surgery Compilation
inferred← citeshttps://doi.org/10.14778/3725688.3725701openalex-snapshot
Quantum Data Management in the NISQ Era
inferred← citeshttps://doi.org/10.1587/transinf.2023lop0011openalex-snapshot
Geometric Refactoring of Quantum and Reversible Circuits Using Graph Algorithms
inferred← citeshttps://doi.org/10.1609/aaai.v36i9.21231openalex-snapshot
Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search
inferred← citeshttps://doi.org/10.20944/preprints202608.1969.v1openalex-snapshot
Complete Factorization of Entangled Quantum States PART 1: Factorizing the Bell States Using Semi-Structured Complex Numbers
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4862662/v1openalex-snapshot
Genetic Algorithm Based Optimisation Framework for Quantum Circuit Mapping GAQCM
inferred← citeshttps://doi.org/10.2172/2350603openalex-snapshot
Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation (Rev.1)
inferred← citeshttps://doi.org/10.30970/eli.21.9openalex-snapshot
OPEN DIRECTIONS IN QUANTUM SOFTWARE STACK: FROM NISQ to QUANTUM UTILITY
inferred← citeshttps://doi.org/10.32604/cmc.2022.020483openalex-snapshot
Novel Quantum Algorithms to Minimize Switching Functions Based on Graph Partitions
inferred← citeshttps://doi.org/10.3390/microelectronics1010001openalex-snapshot
Microelectronics—An Open-Access Journal for Advancing Microelectronics Technologies
inferred← citeshttps://doi.org/10.3390/quantum7010002openalex-snapshot
A Comprehensive Review of Quantum Circuit Optimization: Current Trends and Future Directions
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.