Zero mode, Zero influence: Spatial-derivative coupling in particle detectorsIt is common in particle detector models in cavity QED to often omit zero modes or assume their state, compromising causality or introducing ambiguity in their predictions. We show that…Eduardo Martín-Martínez, Ireneo James Membrere, Adam Teixidó-Bonfill·Oct 30, 2026SaveLearn
Application a quantum machine learning algorithm to the applied problem of modeling the thermal regime of a serversQuantum computing is a rapidly developed field of science. In the NISC era, quantum machine learning stands out, potentially outperforming classical machine learning. In this paper, we explore the…P. V. Buzin, M. A. Remnev·Oct 30, 2026SaveLearn
Triple descent in quantum linear regressionQuantum linear regression models, such as quantum extreme learning machines and quantum fidelity kernels, are trained on features that can only be estimated from finitely many measurement shots.…Gabriele Lo Monaco, Salvatore Lorenzo, Alessandro Ferraro et al.·Oct 30, 2026SaveLearn
Benchmarking Quantum Convolutional Neural Networks and their classical surrogates on long-range strongly correlated modelsWe benchmark quantum convolutional neural networks (QCNNs) and their classical surrogates for phase differentiation in one-dimensional strongly correlated systems with beyond-nearest-neighbour terms.…Tatiana A. Bespalova, Réka Schwengelbeck, Laura Mismetti et al.·Oct 30, 2026SaveLearn
Distance to integrability and complexityWe consider nearest-neighbour interactions on spin-1/2 chains. We find the full set of integrable models of this form and apply a numerical algorithm to determine the "closest" integrable…Sean Casey, Marius de Leeuw, Tristan McLoughlin et al.·Oct 30, 2026SaveLearn
Exhaustive Construction of Generalized Parent Hamiltonians for Matrix Product StatesCharacterizing local Hamiltonians that host interesting many-body states as eigenstates has been an important problem in quantum many-body physics. For matrix product states (MPS), there is a…He-Ran Wang, Lorenzo Gotta, Sanjay Moudgalya·Oct 30, 2026SaveLearn
Quantum simulation of real-time Yukawa dynamics with qubits and qumodesReal-time quantum simulation of field theories offers access to scattering and decay dynamics, circumventing the limitations of Euclidean lattice methods. However, representing bosonic fields on…Jack Y. Araz, Jeffrey Forshaw, Ross Jenkinson·Oct 30, 2026SaveLearn
Secret-shared teleportation of a two-qudit gate with a deferred recipientAn unknown quantum operation, like an unknown quantum state, cannot be perfectly copied or stored for later use. A specific gate can be embedded in an entangled resource and teleported, but its…Tanay Roy·Oct 30, 2026SaveLearn
Time-optimal quantum dynamics under fixed-norm generatorsWe investigate the dynamics of quantum systems whose evolution is governed by linear generators of fixed unitarily invariant norm. For this broad class of evolutions, we derive a universal…Oskar A. Prośniak, Karol Życzkowski·Oct 30, 2026SaveLearn
Weighted hypergraph states as a resource for quantum metrologyQuantum correlations can be used to improve sensing precision beyond classical limits, yet the correlated resource states needed can be challenging to prepare and preserve. Here, we study the family…B. J. Alexander, M. S. Tame·Oct 30, 2026SaveLearn
Topologically Protected Edge States in a Single Flux QubitWe show that topological edge states can be realized in a simple superconducting circuit composed of an inductively shunted flux qubit. The Josephson potential of that qubit forms a honeycomb lattice…Pablo Perez-Fernandez, Manuel Pino·Oct 30, 2026SaveLearn
The Quartic Gap Between Quantum and Dequantized Algorithms for Linear Algebra Is TightQuantum algorithms for linear algebra that access a matrix A through quantum random access memory (QRAM) prepare quantum states proportional to the solutions of linear systems and related problems.…Shouvanik Chakrabarti, Dylan Herman, Junhyung Lyle Kim et al.·Oct 30, 2026SaveLearn
Benchmarking Single-Photon Sources for Measurement-Device-Independent Quantum Key DistributionMeasurement-Device-Independent Quantum Key Distribution (MDI-QKD) enables secure communication without trusting the measurement devices, but its performance critically depends on the quality of the…Janka Memmen, Yvonne Lasars, Tobias Heindel et al.·Oct 30, 2026SaveLearn
Empirical Evaluation of Quantum Kernel Methods for Classification: A Comparative Study with Classical KernelsQuantum kernel methods are the most concrete near-term proposal for quantum machine learning on classical data, yet published benchmarks disagree on whether they outperform tuned classical kernels,…Ronak Bhalgami·Oct 30, 2026SaveLearn
Logical Bell Inequalities for Marginal Wigner NegativityWe construct logical Bell inequalities whose violations are determined by the Wigner function of a reduced quantum state. For odd-prime qudits, each phase-space point of any nonempty proper subsystem…Sanchit Srivastava, Selman Ipek, Cihan Okay et al.·Oct 30, 2026SaveLearn
Resource efficient Sample Based Quantum Simulation through Fragmentation and Virtual Partitioning of QPUPresent-day sample-based quantum algorithms within quantum-centric supercomputing workflows require substantial classical post-processing, large circuit depths to produce chemically relevant samples,…R. Pradeep, Anurag Chaudhary, Ashish Kumar Patra et al.·Oct 30, 2026SaveLearn
No generalised contextuality from the vacuumWe show that, under certain conditions, generalised contextuality, in the sense introduced by Spekkens, cannot be created from the vacuum of a quantum field. Initial noncontextual qudit states do not…Ruben Campos Delgado, Selman Ipek·Oct 30, 2026SaveLearn
GENIE: learned quantum circuits as embedding impurity solvers, and why compactness, not correlation strength, decides when they workSample-based quantum diagonalization has been used as an impurity solver in density matrix embedding theory (DMET), but always with fixed-form circuits and without comparison to classical selection…Awadhoot Vijay Loharkar, Arcesio Castañeda Medina·Oct 30, 2026SaveLearn
Locality, Probability and the Relevance of HistoryRelativistic theory and experiments teach us that causal influences are constrained by the speed of light. Deterministic theories incorporate this lesson in functional terms: whether an…Sebastian Horvat·Oct 30, 2026SaveLearn
Lifting the mixed to the pure: quantum phases of matter from canonical purificationPure-state quantum phases are defined through finite-depth local unitary connections. This concept of phases has recently been generalized to mixed states in terms of locally reversible channels. In…Xiaoyang Huang, Shengqi Sang, Chong Wang et al.·Oct 30, 2026SaveLearn
Control-Noise Trade-offs in Industrially Integrated 28Si/SiGe Spin-1/2 QubitsScaling silicon spin qubits to fault-tolerant processors requires semiconductor foundry integration, yet it remains unclear how industrial fabrication and dense device integration affect qubit…Leon C. Camenzind, Ik Kyeong Jin, Yi-Hsien Wu et al.·Oct 30, 2026SaveLearn
Hybrid Quantum Algorithms for Trade Surveillance AnalyticsAnti-money laundering (AML) and trade surveillance remain largely manual: rule-based monitoring raises alerts of which, by estimate, over 95% are false positives, each reviewed by a human analyst. We…Bimal Mehta, Daniel musgrove, Devanshu Shekhar et al.·Oct 30, 2026SaveLearn
Engineered Learning Problems on Noisy Quantum ProcessorsDespite quantum machine learning being an active topic of research, demonstrations of algorithms run on quantum hardware beating classical methods remain rare. In this work, we demonstrate a…Esteban Payares, Nadia Milazzo, Ghada Ben Slama et al.·Oct 30, 2026SaveLearn
Toward Quantum Monte Carlo for Sovereign Debt Risk: A proof of conceptWe present a proof-of-concept pipeline that applies quantum amplitude estimation to the probability that a sovereign debt-to-GDP ratio exceeds a critical threshold at a given horizon. The pipeline…Jean-Sébastien Dessureault, Alitiana Mijoro Barisoa·Oct 30, 2026SaveLearn
Overcoming the Representational Limitations of Amplitude Encoding for Quantum Neural NetworksQuantum Neural Networks (QNNs) offer a framework for learning functions from classical data, but their expressive power depends critically on how inputs are encoded into quantum states. Angle…Vincent Gurgul, David Prinz·Oct 30, 2026SaveLearn