Mohammad Rafeek Khan, Malik Zaib Alam, Muneer Ahmad, Mohsin Iftikhar, Mohiuddin Ali Khan
{"title":"Hybrid Quantum Kernel Support Vector Machine for Network Intrusion Detection Using NISQ-Compatible Quantum Circuits","authors":"Mohammad Rafeek Khan, Malik Zaib Alam, Muneer Ahmad, Mohsin Iftikhar, Mohiuddin Ali Khan","doi":"10.1002/qute.70481","DOIUrl":"https://doi.org/10.1002/qute.70481","url":null,"abstract":"<p>The amount of cyber threats is growing at an exponential rate, and intelligent network intrusion detection systems (NIDS) that can cope with high dimensional and complex network data, is essential. Traditional machine-learning (ML) approaches might not be as effective to identify complex hidden correlations between traffic attributes and at identifying advanced and unseen attacks. In this paper we suggest a classical–quantum hybrid kernel framework that enhances network intrusion detection. Using principal component analysis (PCA), network traffic features are normalized and dimensionality reduced to be compatible with noisy intermediate-scale quantum (NISQ) devices, whilst preserving over 95% of the variance in the data. The classification is achieved by a fidelity-based quantum kernel with a classical support vector machine(SVM). The proposed hybrid quantum kernel support vector machine (QK-SVM)is tested using two datasets, CIC-IDS2017 and CICIoT2023. Experimental results, achieving accuracy up to 98.1%, F1-score up to 0.98, and anomaly detection rate of 97.6% with linear and RBF-SVM baselines, are comparable to that of Random Forest. The results are based on the Qiskit Aer simulator and do not reflect the performance on actual quantum devices.</p>","PeriodicalId":72073,"journal":{"name":"Advanced quantum technologies","volume":"9 10","pages":""},"PeriodicalIF":4.3,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/qute.70481","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149099891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Front Cover: Compile-Once Block Encodings for Masked Similarity-Transformed Effective Hamiltonians (Adv. Quantum Technol. 10/2026)","authors":"Bo Peng, Yuan Liu, Karol Kowalski","doi":"10.1002/qute.70496","DOIUrl":"https://doi.org/10.1002/qute.70496","url":null,"abstract":"<p>Like a music box playing different melodies on the same mechanism, COMPOSER reuses a fixed quantum circuit architecture to encode molecular effective Hamiltonians. The cover's flowing musical staff and quantum modules depict this interplay: changing numerical parameters and active-space masks reshapes the encoded chemistry while preserving the underlying circuit topology within a predefined operator library. More in article number e70410, Bo Peng and co-workers.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":72073,"journal":{"name":"Advanced quantum technologies","volume":"9 10","pages":""},"PeriodicalIF":4.3,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/qute.70496","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149099889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Atta ur Rahman, Mahmoud Youssef Abd-Rabbou, Ao-Xiang Liu, Cong-Feng Qiao
{"title":"Resource-Aware Quantum Control Under Noise: Deterministic Protocols and Deep Reinforcement Learning","authors":"Atta ur Rahman, Mahmoud Youssef Abd-Rabbou, Ao-Xiang Liu, Cong-Feng Qiao","doi":"10.1002/qute.70483","DOIUrl":"https://doi.org/10.1002/qute.70483","url":null,"abstract":"<div>\u0000 \u0000 <p>We numerically compare quantum-control strategies for few-qubit systems under representative open-system noise and limited control resources. The protocols include shaped pulses, dynamical-decoupling-inspired sequences, hybrid QEC-DD correction, Floquet and Lyapunov control, and deep reinforcement learning (DRL). We benchmark entanglement preservation, entanglement generation, and directed transport under Lindblad decoherence, colored detuning noise, pulse and detuning errors, and imperfect state preparation. The results reveal a resource-dependent hierarchy rather than a universal ranking. A mechanism-resolved pulse analysis shows that sensitivity to colored dephasing is governed by the overlap between the environmental spectrum and the pulse-dependent longitudinal filter function, while absolute performance also depends on pulse-generated coherent dynamics. For six diagnostic pulse families, spectral exposure and the colored-noise-induced change in control-window-averaged concurrence exhibit the same rank ordering. Deterministic pulses remain effective when their temporal and spectral structure matches the task, whereas hybrid QEC-DD benefits from explicit correction resources. In the Floquet setting, DRL can converge to a near-zero-drive boundary when resonant driving is detrimental, closely reproducing no-drive dynamics. Thus, DRL is best viewed as an optimizer over a specified physical control space, whose role depends on the task, reward, observations, and available controls, rather than as a universally superior mechanism.</p>\u0000 </div>","PeriodicalId":72073,"journal":{"name":"Advanced quantum technologies","volume":"9 10","pages":""},"PeriodicalIF":4.3,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149099792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Classical Intelligence For Quantum Technologies: An Evidence Roadmap For AI-Enabled Quantum-Computing Workflows","authors":"Amar Singh, Vinod Kumar Shukla, Sahraoui Dhelim, Chatter Singh","doi":"10.1002/qute.70495","DOIUrl":"https://doi.org/10.1002/qute.70495","url":null,"abstract":"<div>\u0000 \u0000 <p>Artificial intelligence (AI) is becoming an operational part of quantum-computing workflows. Here, <i>classical intelligence</i> denotes classical learning, inference, and adaptive search—machine learning (ML), deep learning (DL), and bio-inspired optimization—that improves how a quantum workflow is controlled, executed, or interpreted. A structured narrative review maps these methods across the control, readout, compilation, and application layers. A reproducible search identified 379 records; 112 directly evaluative studies and 21 contextual records were retained. Each study was coded on four reporting dimensions as explicit, partial, or absent. Visibility was asymmetric (count, 95% Wilson interval): quantum budget 109/112 (92.4%–99.1%), classical overhead 72/112 (55.1%–72.6%), robustness 70/112 (53.3%–70.9%), and transfer 56/112 (40.9%–59.1%). A separate deployment-readiness judgment, derived from the evaluation regime, places 85/112 studies at simulator-only, 13/112 at mixed or cloud, and 14/112 at hardware validation; none met the controller-service criterion. A linked results layer records each study's comparator and direction of effect. ML is most defensible when uncertainty or reusable structure reduces quantum queries, DL when raw or high-dimensional structure dominates, and bio-inspired search when objectives are rugged or mixed discrete-continuous. The field's main limitation is incomplete end-to-end evidence on classical cost, drift, transfer, and deployment, not an absence of benefit.</p>\u0000 </div>","PeriodicalId":72073,"journal":{"name":"Advanced quantum technologies","volume":"9 10","pages":""},"PeriodicalIF":4.3,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149099791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quantum Spectral Clustering Framework via Compact Circuit Structures","authors":"Hyeong-gyu Kim, Siheon Park, June-Koo Kevin Rhee","doi":"10.1002/qute.70456","DOIUrl":"https://doi.org/10.1002/qute.70456","url":null,"abstract":"<p>Spectral machine learning methods based on spectral graph theory are powerful but scale poorly due to costly eigen-analysis. Although various eigenvector approximation methods have been proposed, the construction of a partial kernel matrix still remains within their frameworks. This work presents compact quantum circuit designs for spectral clustering in which the eigenproblem is approximated via a Rayleigh–Ritz formulation that bypasses kernel matrix construction and whose overall depth is dominated by the data-embedding routine. A rigorous shot complexity analysis is provided, showing that the sampling-based estimation remains tractable for the spectral clustering objective including a penalty term. Simulations on canonical datasets demonstrate reliable optimization behavior with an under-parameterized hardware-efficient ansatz. Finite-shot simulations further confirm the predicted sampling behavior of the penalty estimator, validating the main claims as a proof of concept.</p>","PeriodicalId":72073,"journal":{"name":"Advanced quantum technologies","volume":"9 10","pages":""},"PeriodicalIF":4.3,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/qute.70456","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149099890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Unconventional Magnon Blockade in Anti-\u0000 \u0000 PT\u0000 $mathcal {PT}$\u0000 -Symmetric Cavity Magnonics System","authors":"Jinglan Liu, Meirong Wei, Qi Guo","doi":"10.1002/qute.70494","DOIUrl":"https://doi.org/10.1002/qute.70494","url":null,"abstract":"<div>\u0000 \u0000 <p>We focus on the magnon blockade phenomenon in a non-Hermitian cavity magnonics system with dissipative magnon–photon coupling. The system consists of a cross-shaped microwave circuit supporting both standing and traveling waves and a yttrium iron garnet sphere supporting a magnon mode, where the dissipative coupling between the magnon mode and the standing wave cavity mode is caused by the traveling wave, forming the non-Hermitian cavity magnonics system. For the non-Hermitian system with the pure dissipative coupling, we find that, by driving the microwave cavity mode using the two-photon driving field, the magnon blockade phenomenon can occur due to the destructive interference of the transition paths. More excitingly, when the non-Hermitian cavity magnonics system is set as an anti-parity-time (<span></span><math>\u0000 <semantics>\u0000 <mi>PT</mi>\u0000 <annotation>$mathcal {PT}$</annotation>\u0000 </semantics></math>)-symmetry system, the optimal magnon blockade phenomenon occurs near the exceptional points (transition points from the unbroken- to broken-anti-<span></span><math>\u0000 <semantics>\u0000 <mi>PT</mi>\u0000 <annotation>$mathcal {PT}$</annotation>\u0000 </semantics></math> symmetry). Then we analyze the influence of the driving strength on the magnon blockade, and give the optimal driving strength. The presented work not only provides an alternative method for the magnon blockade, but also can promote the study of the quantum effects in the non-Hermitian cavity magnonics system.</p>\u0000 </div>","PeriodicalId":72073,"journal":{"name":"Advanced quantum technologies","volume":"9 10","pages":""},"PeriodicalIF":4.3,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149099787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}