Quantum Circuits

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Period ending 2026-09-14

8 new papers

A weekly snapshot of new work published in Quantum Circuits.

Period ending 2026-09-07

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  1. Hybrid Variational Quantum Circuits for Multivariate Regression and High-Dimensional Data Reconstruction

    Sep 15, 2026Koffi Ognandon Ayena, Frédéric Holweck, Serge Iovleff +1Variational Quantum CircuitsVariational Encoder

  2. Reinforcement Learning for Syndrome Extraction

    Sep 14, 2026John Zhuoyang Ye, Aarav Pabla, Jens PalsbergQuantum Error CorrectionError Correction

  3. Generative Replay Mitigates Sample Starvation in Quantum Architecture Search

    Sep 12, 2026Akash Kundu, Amit Kumar Jaiswal, Sebastian Feld +1Quantum CircuitsQuantum Neural Networks

  4. A Quantum-Inspired Dequantization Method for Diagonally Weighted Matrix Functions: Application to Learning with Optimized Random Features

    Sep 9, 2026Natsuto Isogai, Mio Murao, Hayata YamasakiSingular Value DecompositionQuantum Error Correction

  5. The Sample Complexity of Quantum Entanglement Allocation

    Sep 9, 2026Nathan RollQuantumEntanglement

  6. Hybrid Quantum-Classical NLP Classification with Compact Semantic Representations: An Experimental Analysis of Representation Compression

    Sep 9, 2026Ali Hassan, Zijia Zhao, Maha A. MetaweiQuantum Neural NetworksQuantum Learning

  7. AXON: A ROS 2 RMW with Shared-Memory/QUIC Transport and QKD/ML-KEM Key Establishment

    Sep 9, 2026Sergio Sánchez de la Fuente, Miguel Ángel González-Santamarta, Francisco Javier Rodríguez-Lera +2Quantum AlgorithmsDiffie-Hellman

  8. Fidelity-Aware Scheduling of Quantum Circuits on Multi-QPU Systems

    Sep 9, 2026Innocenzo Fulginiti, Antonio Tudisco, Salvatore Zammuto +7Quantum CircuitsHigh-Performance Computing

  9. Topology Obstructs Pure Foundation Neural Quantum States

    Sep 7, 2026Timothy Heightman, Elena Orlova, Philip Mantrov +1Quantum Topological PhasesQuantum Learning

  10. Characterizing Privacy Risks of Quantum Machine Learning with Emergent Quantum-Native Access

    Sep 4, 2026Liou Tang, James Joshi, Ashish KunduQuantum LearningPrivacy Risks and Protection

  11. GNN-Guided Graph Coarsening and Adaptive QUBO Penalties for the Capacitated Vehicle Routing Problem with Time Windows on a Quantum Annealer

    Sep 4, 2026Youssef Kamel Rezk, Paweł GoraVehicle Routing ProblemQuantum Annealing

  12. Parameterised graph theory for tensor networks: entanglement rerouting, structural simplification, and agnostic tomography

    Sep 3, 2026Matthias C. Caro, Natalie McHugh, Sergii StrelchukTensor NetworksAcyclic Graphs

  13. Quantum Sparse Autoencoders for Q-Matrix Estimation in Cognitive Diagnosis

    Sep 1, 2026Arif Hassan Zidan, Yi Pan, Bowen Guo +5Quantum LearningImproving Sparse Autoencoders

  14. QILP-0: Constructing Observational Declarative Twins of Quantum Circuits

    Sep 1, 2026Marina de la Cruz Echeandía, César Luis Alonso, Tony Ribeiro +1Quantum CircuitsCircuits

  15. A hybrid quantum-classical neural network for learning to route

    Aug 31, 2026Marcus Rolf Peter Ritt, Alexsandro Santos da Rosa Júnior, Marcos Vinicius Reballo +2Quantum Neural NetworksVehicle Routing Problem

  16. Fractal dimension predicts quantum kernel collapse in angle-encoded data

    Aug 31, 2026Ana Paula AppelQuantum KernelsQuantum Computing

  17. Towards unsupervised representation learning for quantum data: quantum models with inference and generation

    Aug 31, 2026Robin Lorenz, Eric Brunner, Marcello BenedettiQuantum LearningSemantic Mapping

  18. "Train classical, deploy quantum" requires rethinking generalization

    Aug 31, 2026Snehal Raj, Natansh Mathur, Alejandro Perdomo-OrtizQuantumQuantum Circuits

  19. Exponential quantum advantage for learning signals with a single qubit

    Aug 13, 2026Ishaan Kannan, Sridhar Prabhu, Saeed A. Khan +7QuantumFisher Information

  20. AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization

    Aug 13, 2026Harshkumar Oza, Aritra Sarkar, Syed Naqi Abbas +4Quantum Circuits

  21. Hamilton-Zero: A Neural Tensor-Network Foundation Model for Ground States of Arbitrary Quadratic Qubit Hamiltonians

    Aug 12, 2026Timothy Heightman, Elena Orlova, Philip Mantrov +1Quantum LearningHamiltonian

  22. CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation

    Aug 12, 2026Xue Yang, Rigui Zhou, ShiZheng Jia +7High-Performance Image Generation ModelsVariational Quantum Circuits

  23. A 12-CNOT Double Qubit Excitation Gate

    Aug 12, 2026Irfansha ShaikQuantumCircuits

  24. A Quantum/Classical Example Oracle Separation for Making Things Up

    Aug 12, 2026Kenny ChenQuantum LearningQuantum

  25. Quantum Incremental Learning with Mixed State Prototypes

    Aug 11, 2026Yu Wu, Qianli Zhou, Xinyang Deng +3Quantum Neural NetworksClip-Based Class-Incremental Learning

  26. Multi-agent discovery of practical quantum LDPC codes

    Aug 10, 2026Dongheng Qian, Tianyi LiQuantum Error CorrectionSource-Channel Coding

  27. Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations

    Aug 9, 2026Xiang Rao, Yuxuan ShenQuantum Neural NetworksKolmogorov-Arnold Networks

  28. Classical \mathrm{SU}(2) Models Match or Exceed Shallow Variational Quantum Circuits on Vision Benchmarks

    Aug 7, 2026Christopher Fulton, Irene Tsapara, Lawrence FultonVariational Quantum CircuitsQuaternion

  29. QuantumMind: Constraint-Grounded Agentic Reasoning for Speedup Analysis in Quantum Computing

    Aug 7, 2026Yijing Zuo, Zhe Fu, Zihan Nie +2Quantum ComputingEnd-To-End Speedup

  30. Readout-Rank Laws for Isotropic Quantum Tangents

    Aug 7, 2026Marwan Ait HaddouQuantum CircuitsReadout

  31. Investigating Quantum-Embedded Transformers on Classical Datasets for Cross-Modality Classification

    Aug 7, 2026Hao-Yuan ChenQuantum Neural NetworksQuantum Circuits

  32. QuanTiMedAI: Quantum-Enhanced Time-Series Model guided by Agentic AI for Cardiac Arrest Mortality Prediction

    Aug 6, 2026Mutasim Fuad Sarker, Adiba Rahman Namira, Wafa Binte Alam +3Intensive Care UnitQuantum Learning

  33. Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation

    Aug 6, 2026Alfred M. Pastor, Maribel Castillo, Jose M. BadiaQuantum CircuitsTensor Networks

  34. Provably Efficient Self-Calibrating Quantum Fault Tolerance

    Aug 6, 2026Weiyuan Gong, Hong-Ye HuQuantum Error CorrectionFault Tolerance

  35. RASP-QAOA: Resource-Aware Per-Instance Selection for Exact QAOA Simulation

    Aug 6, 2026Chih-Chung HsuQuantum Approximate Optimization AlgorithmCost-Aware

  36. LC-Implicit-QAOA: Active-Workspace-Capped Exact Objective-and-Gradient Evaluation for Training over Bounded QUBO Light Cones

    Aug 6, 2026Chih-Chung HsuQuantum Approximate Optimization AlgorithmConstrained Optimization

  37. How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits

    Aug 6, 2026Prabhjot Singh, Adel N. Toosi, Rajkumar BuyyaQuantum LearningQuantum

  38. Quantum-Structured World Models (QSWMs) for Predictive Latent Dynamics

    Aug 5, 2026Hailong Jiang, Emran Hossain, Feng Yu +3Latent World ModelsIntermediate Latent States

  39. Representational separation between unitary and channel quantum generative models via shared classical randomness at shallow depth

    Aug 5, 2026Arunava Majumder, Marius Krumm, Hendrik Poulsen Nautrup +1Quantum CircuitsGenerative Models

  40. One Qubit Can Beat One Bit: Quantum Advantage for Post-Training Quantization

    Aug 5, 2026Yuma Ichikawa, Moeto MishimaQuantizationQuantum

  41. Image Classification Using CNN-QNN Hybrid Model with Optimized Correlated Features

    Aug 5, 2026Minseo Seong, Youngwook KimQuantum Neural NetworksImage Classification

  42. Dynamical Lie Algebras Cannot Describe Shallow QAOA: Cragged Terrains, Barren Plateaus, and Empirical Hardness Models

    Aug 4, 2026Harrison Copp, Charlton Li, Anžej Margeta-Cacace +1Quantum Approximate Optimization AlgorithmVariational Quantum Circuits

  43. Separating quantum circuits from classical LLMs

    Aug 4, 2026Srinivasan Arunachalam, Arkopal Dutt, Hari Krovi +1Quantum CircuitsLarge Language Model Quantization

  44. Beyond the Gegenbauer Paradigm: q-Orthogonal Kernels for Machine Learning

    Aug 4, 2026Álvaro Sánchez-Paniagua Ríos, Juan P. Llerena, Alberto Lastra +2Quantum KernelsReproducing Kernel Hilbert Spaces

  45. Beyond the QBER Threshold: A Temporal QBER Based Machine Learning Framework for Multi Attack Detection in BB84 QKD

    Aug 4, 2026Isha, Deepak Singh, Devesh Kumar +3Quantum AlgorithmsQuantum Error Correction

  46. Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model

    Aug 3, 2026Joao F. DoriguelloQ-LearningOptimal Policies

  47. Statistical Mechanics of Learning on Product Wasserstein Manifolds

    Aug 2, 2026Srinivasa Rao P Vangmayi P ReddyQuantum LearningWasserstein Distance

  48. Perspectives on Tsallis Statistics for Artificial Intelligence

    Aug 2, 2026Kleyton da Costa, Bernardo ModenesiHeavy-Tailed NoiseBoltzmann Distributions

  49. Hybrid Quantum Neural Networks: Theory, Implementations, and Applications

    Aug 2, 2026Léo Monbroussou, Maniraman Periyasamy, Viacheslav Kuzmin +4Quantum Neural NetworksArtificial Neural Networks

  50. Adaptive Quantum Physics-Informed Neural Networks for Differential Equations with Applications to Fluid Dynamics

    Aug 1, 2026Fabio Pereira dos Santos, Renato Portugal, Júlio de Castro Vargas Fernandes +1Quantum Neural NetworksQuantum Learning

  51. DreamQAS: Learning a Decision-Useful World Model for VQE-Efficient Quantum Architecture Search

    Jul 31, 2026Jiayang Niu, Yan Wang, Jie Li +4Variational Quantum CircuitsQuantum Neural Networks

  52. Transpiler Autotuning with Predictive Models for Quantum Circuit Optimization

    Jul 31, 2026Piotr Malkowski, Domenik Eichhorn, Joshua Ammermann +4Quantum CircuitsQuantum

  53. InferQ: A Database-Oriented Benchmark for Quantum Circuits Simulation

    Jul 31, 2026Andrei Ilinescu, Aadi Patwardhan, Rihan HaiQuantum CircuitsText-To-Sql

  54. Kohn-Sham Spectral Embedding on Sparse Graphs at the Nishimori Temperature for Image Classification

    Jul 30, 2026V. S. Usatyuk, D. A. Sapozhnikov, S. I. EgorovFeature LearningConvolutional Neural Networks

  55. QAdapt: A Noise-Adaptive Neural Pre-Decoding Framework for Quantum Error Correction

    Jul 30, 2026Ran Miao, Rui Luo, Xiaohan Shan +1Quantum Error CorrectionError Correction

  56. Complementary Matrix-Gated QKAN Fast-Weight Programmers for Quantum Dynamics Forecasting

    Jul 30, 2026Kuo-Chung Peng, Samuel Yen-Chi Chen, Jiun-Cheng Jiang +14Quantum LearningQuantum

  57. Hybrid Quantum CNN for Cross-Sensor Spaceborne Volcanic Thermal Activity Recognition Worldwide

    Jul 29, 2026Claudia Corradino, Federica Torrisi, Alessandro Grilli +5Quantum Neural NetworksMulti-Sensor Fusion

  58. LLM-Guided Initialization for Accelerated Hybrid Quantum-Classical Medical Image Classification

    Jul 29, 2026Riza Alaudin Syah, Irwan Alnarus Kautsar, Haza Nuzly Bin Abdull HamedQuantum Neural NetworksMedical Imaging

  59. OmniQEC: discovering practical quantum error-correcting codes by an AI scientist

    Jul 28, 2026Ge Yan, Shanchuan Li, Pengyue Ma +5Quantum Error CorrectionQuantum

  60. Lowering the implementation barrier of neutral-atom quantum computing with agentic workflows

    Jul 28, 2026Constantin Dalyac, Alexandre Dauphin, Loïc Henriet +1Quantum ComputingAgentic Workflows