Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Universal first-passage time statistics for quantum diffusion
Guido Ladenburger, Finn Schmolke, Eric Lutz·Nov 5, 2025
First-passage phenomena play a fundamental role in classical stochastic processes. We here exactly solve a quantum first-passage time problem for quantum diffusion driven by measurement noise, a generalization of classical Brownian motion. Such conti...
Influence of Data Dimensionality Reduction Methods on the Effectiveness of Quantum Machine Learning Models
Aakash Ravindra Shinde, Jukka K. Nurminen·Nov 5, 2025
Data dimensionality reduction techniques are often utilized in the implementation of Quantum Machine Learning models to address two significant issues: the constraints of NISQ quantum devices, which are characterized by noise and a limited number of ...
Quantum properties of superpositions of oppositely squeezed states
Hiroo Azuma, William J. Munro, Kae Nemoto·Nov 5, 2025
We investigate the quantum properties of superpositions of oppositely squeezed states, which can be regarded as Schrodinger cat states. Compared with conventional coherent-state cat states, these states exhibit distinct photon-number structures and e...
Quantum Sensing of Copper-Phthalocyanine Electron Spins via NV Relaxometry
Boning Li, Xufan Li, Yifan Quan +2 more·Nov 5, 2025
Molecular spin systems are promising candidates for quantum information processing and nanoscale sensing, yet their characterization at room temperature remains challenging due to fast spin decoherence. In this work, we use $T_1$ relaxometry of shall...
Heralded Induced-Coherence Interferometry in a Noisy Environment
L. Theerthagiri, Balakrishnan Viswanathan, C. M. Chandrashekar·Nov 5, 2025
Induced-coherence interferometry, first introduced in the Zou-Wang-Mandel (ZWM) setup, enables retrieval of object information from the interference pattern of light that never interacted with the object. This scheme relies on two identically correla...
Revisiting Nishimori multicriticality through the lens of information measures
Zhou-Quan Wan, Xu-Dong Dai, Guo-Yi Zhu·Nov 4, 2025
The quantum error correction threshold is closely related to the Nishimori physics of random statistical models. We extend quantum information measures such as coherent information beyond the Nishimori line and establish them as sharp indicators of p...
Classical shadows for sample-efficient measurements of gauge-invariant observables
Jacob Bringewatt, Henry Froland, Andreas Elben +1 more·Nov 4, 2025
Classical shadows provide a versatile framework for estimating many properties of quantum states from repeated, randomly chosen measurements without requiring full quantum state tomography. When prior information is available, such as knowledge of sy...
Enhancing Federated Learning Privacy with QUBO
Andras Ferenczi, Sutapa Samanta, Dagen Wang +1 more·Nov 4, 2025
Federated learning (FL) is a widely used method for training machine learning (ML) models in a scalable way while preserving privacy (i.e., without centralizing raw data). Prior research shows that the risk of exposing sensitive data increases cumula...
Adaptive Quantum Matter: Variational Organization through Ising Agents
Lakshya Nagpal, Syed. R. Hassan·Nov 4, 2025
The study introduces the Adaptive Quantum Ising Agents (AQIA) framework, a Hamiltonian-based methodology that extends programmable quantum matter into an adaptive domain. Each agent operates as a finite transverse-field Ising subsystem, maintaining i...
Trustworthy Quantum Machine Learning: A Roadmap for Reliability, Robustness, and Security in the NISQ Era
Ferhat Ozgur Catak, Jungwon Seo, Umit Cali·Nov 4, 2025
Quantum machine learning (QML) is a promising paradigm for tackling computational problems that challenge classical AI. Yet, the inherent probabilistic behavior of quantum mechanics, device noise in NISQ hardware, and hybrid quantum-classical executi...
Improving shadow estimation with locally-optimal dual frames
Keijo Korhonen, Stefano Mangini, Joonas Malmi +2 more·Nov 4, 2025
Accurate estimation of observables in quantum systems is a central challenge in quantum information science, yet practical implementations are fundamentally constrained by the limited number of measurement shots. In this work we explore a variation o...
Photonic implementation of quantum hidden subgroup database compression
Qianyi Wang, Feiyang Liu, Teng Hu +6 more·Nov 4, 2025
We experimentally demonstrate quantum data compression exploiting hidden subgroup symmetries using a photonic quantum processor. Classical databases containing generalized periodicities-symmetries that are in the worst cases inefficient for known cla...
Secure PAC Learning: Sample-Budget Laws and Quantum Data-Path Admissibility
Jeongho Bang·Nov 4, 2025
Security in machine learning is fragile when data are exfiltrated or perturbed, yet existing frameworks rarely connect the definition and analysis of the security to learnability. In this work, we develop a theory of secure learning grounded in the p...
Decay of transmon qubit in a broadband one-dimensional cavity
Ya. S. Greenberg, A. A. Shtygashev, O. V. Kibis·Nov 4, 2025
We investigate the decay dynamics of a three-level artificial atom, a superconducting transmon qubit, weakly coupled to a continuum of modes in a broadband, one-dimensional cavity. Using the resolvent formalism, we derive analytical expressions for t...
Localized to delocalized spatial quantum correlation evolution in structured bright twin beams
Jerin A Thachil, Chirang R Patel, U. Ashwin +1 more·Nov 4, 2025
Quantum correlations in the spatial domain hold great promise for applications in quantum imaging, quantum cryptography and quantum information processing, owing to the infinite dimensionality of the associated Hilbert space. Here, we present a theor...
Information recycling in coherent state discrimination
L. F. Melo, János A. Bergou, Alexandre B. Tacla·Nov 4, 2025
The discrimination of coherent states is a crucial component in quantum communication with continuous variables, especially in quantum key distribution protocols (CV-QKD), which rely on the ability to distinguish among different coherent states to es...
Entropy-based random quantum states
Harry J. D. Miller·Nov 3, 2025
In quantum information geometry, the curvature of von-Neumann entropy and relative entropy induce a natural metric on the space of mixed quantum states. Here we use this information metric to construct a random matrix ensemble for states and investig...
Generation and read-out of many-body Bell correlations with a probe qubit
Marcin Płodzień, Jan Chwedeńczuk·Nov 3, 2025
As demand for quantum technologies increases, so does the need to generate and classify non-classical correlations in complex many-body systems. We introduce a simple and versatile method for creating and certifying entanglement and many-body Bell co...
Measurement Strategies and Estimation Precision in Quantum Network Tomography
Athira Kalavampara Raghunadhan, Matheus Guedes De Andrade, Don Towsley +3 more·Nov 3, 2025
This work investigates measurement strategies for link parameter estimation in Quantum Network Tomography (QNT), where network links are modeled as depolarizing quantum channels distributing Werner states. Three distinct measurement schemes are analy...
Operator-aware shadow importance sampling for accurate fidelity estimation
Hyunho Cha, Sangwoo Hong, Jungwoo Lee·Nov 3, 2025
Estimating the fidelity between an unknown quantum state and a fixed target is a fundamental task in quantum information science. Direct fidelity estimation (DFE) enables this without full tomography by sampling observables according to a target-depe...