Quantum Information and Cryptography

Latest papers

• Quantum Computing for Network Security Classification: Near-Term Classification and Long-Term Memory Efficiency

  Yuqing Li, Poonam Bala Nehru, Yunpeng Zhang, Danindu Gammanpilage, Xin Jin, Zeguan Wu, Junyu Liu · 30 September 2026

  Quantum computing has already been explored in several network-security applications. However, how quantum computing may contribute to network-security classification in both the near term and the longer term has not been systematically discussed. This paper studies this question through two complem…

• Repairability of Inexact Solvers in Recursive State Estimation with Machine Learning

  Yanjun Ji, Dennis Willsch, Orkun \c{S}ensebat, Priyanka Arkalgud Ganeshamurthy, Zhi Pei, M. Sahnawaz Alam, Ivelina Stoyanova, Frank K. Wilhelm, Bo Zhao, Chao Wang, Kristel Michielsen · 24 September 2026

  Recursive state estimation often executes approximate numerical solutions inside a feedback loop, where highly accurate local steps do not guarantee better overall results. For a fixed linear Kalman model, we characterize when a correction within a prescribed subspace and norm budget can meet a loca…

• Neutral-Atom-based Quantum Optimization for Resource Allocation in NOMA Networks

  Patatchona Keyela, Remon Polus, Soumaya Cherkaoui, Ola Ahmad · 23 September 2026

  In wireless communication networks, many resource optimization problems are nondeterministic polynomial-time hard (NP-hard) due to their combinatorial nature and high computational complexity. Recently, neutral-atom-based quantum computing has emerged as a promising platform for efficiently solving …

• Guiding Agents of Quantum Games to Equilibrium using Matrix Exponential Fixed-Point Iteration

  Alireza Habibi, Luis F. Abanto Leon, Setareh Maghsudi · 21 September 2026

  In recent years, quantum game theory has gained significant attention as a framework for studying decision-making in multi-agent systems using quantum principles. However, computing equilibrium strategies is challenging because the dimension of the joint Hilbert space grows as the product of the pla…

• A Global Readiness and Sovereignty Capability Model for Post-Quantum Cryptography Migration

  Mohamed Aly Bouke · 17 September 2026

  Cryptographic dependence predates the quantum era, but the migration to post-quantum cryptography (PQC) opens a rare window to reshape it, because the algorithms, implementations, hardware, and standards adopted now can lock in dependence or sovereignty for decades. This paper introduces the Readine…

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

  Liou Tang, James Joshi, Ashish Kundu · 10 September 2026

  Quantum Machine Learning (QML) has shown rapid advances by utilizing quantum computing for machine learning tasks. Meanwhile, the privacy risks accompanying QML is also starting to be studied, which inherit privacy leakage channels from "classical" ML and also quantum-unique risks. Existing work on …

• Optimal Low-Rank Quantum State Tomography with Bounded-Sample Joint Measurements

  Ashwin Nayak, Xingyu Zhou · 10 September 2026

  We determine the optimal sample complexity of low-rank quantum state tomography when each measurement may act jointly on at most $t$ samples. For sufficiently small $\varepsilon$, estimating an unknown state on $\mathbb{C}^d$ of rank at most $r$ to trace norm error $\varepsilon$ with constant succes…

• Riemannian Optimization for Multi-Player Quantum Games on Product Unitary Manifolds

  Alireza Habibi, Setareh Maghsudi · 9 September 2026

  Quantum game theory is an extension of classical game theory that uses quantum principles in game theory. The Eisert-Wilkens-Lewenstein (EWL) quantum game is an early example of the two-player classical Prisoner's Dilemma transformed into a quantum Prisoner's Dilemma. In the EWL game, the players ch…

• When Similarity Is Interaction-Driven: Quantum Kernels for Regime-Sensitive Learning

  Hanqiu Peng, Jianlong Lu, Ying Chen · 26 August 2026

  Similarity in many decision systems is governed not by distance alone but by interactions among variables. In fraud and anomaly detection, small local perturbations can cross interaction-sensitive decision boundaries while leaving ambient distance almost unchanged. Motivated by this setting, we intr…

• A Theory of Finite-Noise Optima and Generalization in Quantum Machine Learning

  Ziyu Zhang, Zikang Jia, Xiaosong Li, Yulong Dong · 26 August 2026

  Quantum noise is expected to degrade quantum machine learning by driving circuits away from their noiseless implementations. Yet recent studies show moderate noise can reduce testing error, a behavior unexplained by weak-noise perturbative error accumulation or strong-noise trainability collapse. He…

• Quantum Gaussian processes for prediction of channel observations

  Jonas J\"ager, Yaroslav Khmelnitskiy, Paolo Braccia, Artur Miroszewski, Diego Garc\'ia-Mart\'in, M. Cerezo, Piotr Czarnik · 21 August 2026

  Given a set of input states, we consider the task of predicting the expectation value of a Pauli observable at the output of an unknown quantum evolution, using only a limited number of measurements. Recently, quantum Gaussian process (QGP) regression was introduced for this task across various clas…

• VQC-ZTI: Variational Quantum Control for Zero Trust Protection of the Tactile Internet

  Mubassir Serneabat Sudipto (Iowa State University), Shakil Ahmed (Grand Valley State University), Ashfaq Khokhar (Kansas State University) · 21 August 2026

  Tactile Internet services couple cyber events directly to physical actuation, so security decisions must improve risk discrimination without perturbing the control path. This paper presents VQC-ZTI, a split-plane Variational Quantum Classifier framework for zero-trust protection of Tactile Internet …

• Exponential quantum advantage for learning signals with a single qubit

  Ishaan Kannan, Sridhar Prabhu, Saeed A. Khan, Mandar M. Sohoni, Xingrui Song, Saswata Roy, Alen Senanian, Valla Fatemi, Peter L. McMahon, Jordan Cotler · 14 August 2026

  Quantum technology has the potential to transform scientific discovery, but quantum advantages often require processing capabilities well beyond the reach of experimental platforms. We show that coupling a single controllable qubit to an otherwise conventional sensor can exponentially reduce the num…

• Readout-Rank Laws for Isotropic Quantum Tangents

  Marwan Ait Haddou · 11 August 2026

  Deep parameterized quantum circuits may remain sensitive to a parameter change while the observables retained by a learning model barely respond. We study this separation for a fixed computational-basis measurement. For a pure-state tangent, we compare the quantum Fisher information $F_Q$, the Fishe…

• Provably Efficient Self-Calibrating Quantum Fault Tolerance

  Weiyuan Gong, Hong-Ye Hu · 7 August 2026

  Quantum error correction protects logical information only when every physical operation remains below the fault-tolerance threshold, a condition that must be maintained continuously rather than only at the initial calibration. In practice, however, analog control parameters inevitably drift because…

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

  Isha, Deepak Singh, Devesh Kumar, S. K Pal, Praful Hambarde, Amit Shukla · 6 August 2026

  Conventional BB84 Quantum Key Distribution (QKD) systems rely on a fixed 11% Quantum Bit Error Rate (QBER) threshold to detect eavesdropping. However, stealthy attacks can remain below this threshold while still compromising channel security. This paper proposes a temporal QBER based machine learnin…

• Adaptive Reconstruction of Bosonic Quantum States

  Vasilisa Usova, Phila Rembold, Ian Yang, Marco Rossignolo, Simone Montangero, Samuele Tosatto, Gerhard Kirchmair · 4 August 2026

  Bosonic quantum systems provide a hardware-efficient platform for quantum information processing but remain challenging to characterise due to their large Hilbert space and the high measurement cost of state tomography. Existing approaches estimate the fidelity with respect to a single target state,…

• Intelligence-Guided Adaptive Purification for DDoS-Resilient Quantum Networks: A CUDA-Q based Study

  Santanu Ganguly · 21 July 2026

  Quantum-repeater networks require adaptive control policies that balance entanglement generation rate, end-to-end fidelity, purification overhead, and memory-induced latency. This tradeoff becomes more complex when the classical control plane is degraded by cyber anomalies or denial-of-service traff…

• RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation

  Abdallah Aaraba, Alexis Vieloszynski, Remon Polus, Ola Ahmad, Soumaya Cherkaoui · 16 July 2026

  The broadcast nature of wireless channels exposes radio-frequency (RF) networks to anomalous and malicious transmissions, making anomaly detection a fundamental requirement for secure spectrum management. Quantum Kitchen Sinks (QKS) offer a lightweight hybrid quantum feature map suitable for near-te…

• Neural-Network Inverse Design of SRF Cavities and Transmons for Bosonic Quantum Computation

  Joseph Yaker, Jovan Markovic, Alessandro Reineri, Doga Murat Kurkcuoglu, Silvia Zorzetti · 7 July 2026

  Three-dimensional superconducting radio-frequency (SRF) cavities provide exceptionally long-lived electromagnetic modes and, when coupled to nonlinear elements such as transmon qubits, become promising architectures for bosonic quantum information processing. The inverse design of such systems, i.e.…

• Spectral Geometry and Bosonic-Bloch Probes: Explorations in Quantum Learning

  Santanu Ganguly, Xing Liang, Dimitrios Makris · 2 July 2026

  This paper studies how spectral geometry emerges in quantum learning models and how it can be diagnosed with physically grounded probes. In graph-regularized quantum networks, training reorganizes the output similarity graph, increases the effective spectral dimension Delta S = +0.23, and reshapes t…

• Quantum ring all-reduce: communication and privacy advantages for distributed learning

  Mar\'ia Gragera Garc\'es, Lirand\"e Pira · 19 June 2026

  Machine learning models have scaled to unprecedented sizes, making training across distributed devices the de facto standard in the field. In this work, we explore how quantum communications can make distributed training both more communication-efficient and information-theoretically private, for bo…

• QMaxCal: Path-Space Regularization for Open Quantum Control via Girsanov's Theorem

  Merijn Moody, Zier Mensch, Miranda C. N. Cheng, Peter G. Bolhuis, Max Welling · 19 June 2026

  Reliable quantum control in the presence of decoherence requires policies that combat the effect of environmental noise on the controlled dynamics. Open quantum systems under continuous monitoring generate classical measurement records whose drift depends on the noise experienced by the system; the …

• Deployed trusted-node quantum key distribution over 300 km with a multi-core fiber access link

  Martin Clason, Joakim Argillander, Didrik Bergstr\"om, Daniel Spegel-Lexne, Giulio Foletto, Ashraf El Hassan, Mohamed Bourennane, Onur G\"unl\"u, Katia Gallo, Rui Lin, Guilherme B. Xavier · 8 June 2026

  Quantum key distribution (QKD) is increasingly considered for deployment in realistic communication networks, where long distances, heterogeneous fiber infrastructure, and coexistence with classical traffic present substantial challenges. Here, we demonstrate trusted-node QKD between Link\"oping Uni…

• Mirror Mean-Field Langevin Dynamics

  Anming Gu, Juno Kim · 19 May 2026

  The mean-field Langevin dynamics (MFLD) minimizes an entropy-regularized nonlinear convex functional on the Wasserstein space over $\mathbb{R}^d$, and has gained attention recently as a model for the gradient descent dynamics of interacting particle systems such as infinite-width two-layer neural ne…