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Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Towards quantum machine learning for assessing the resilience of post-quantum cryptography
Jarosław A. Miszczak·Jul 15, 2026
The potential capabilities of quantum computers motivated the development of cryptographic protocols suitable for securing communication against adversaries with access to large fault-tolerant quantum computers. However, even though current quantum c...
Machine learning development for quantum computing and neutrino physics
Annalisa De Lorenzis·Jul 15, 2026
This thesis investigates the application of machine-learning methods in the context of quantum computing and neutrino physics, with particular emphasis on the construction of effective representations for complex, high-dimensional data. The first par...
Direct observation of photon-induced vortices in superconducting films
Takeshi Jodoi, Fuminori Hirayama, Tetsuya Tsuruta +2 more·Jul 15, 2026
Nucleation of vortex-antivortex pairs (VAPs) is believed to play a central role in the photon detection mechanism of superconducting detectors; however, their direct dynamic observation has remained challenging. Here, we report the direct observation...
Effects of coherent and incoherent measurement imperfections on multipartite quantum nonlocality and quantum key distribution
Qiong Wang, Wen-Long Qiao, Qing Chen +1 more·Jul 15, 2026
Multipartite Bell nonlocality is a central resource for device-independent quantum information protocols, but its practical certification is inevitably affected by imperfect measurements. We analyze how coherent angular misalignment and incoherent ou...
Evaluating Encoding Strategies for Closed-Loop Classification in Biological Neural Networks
Martin Schottlender, Veronika Volkova, Pengjie Zhou +3 more·Jul 15, 2026
Interfacing with Biological Neural Networks (BNNs) requires encoding information into stimulation patterns that can be effectively processed and that enable the underlying system to adapt. Nevertheless, the role of stimulation encoding remains poorly...
The potential of quantum computers for Particle Image Velocimetry
Philipp Pfeffer, Theo Käufer, Julia Ingelmann +2 more·Jul 15, 2026
Particle Image Velocimetry (PIV) is the prime image-processing technique to measure and visualize velocity fields of laminar and turbulent flows. The velocity field vectors are obtained with sub-pixelaccuracy by analyzing cross-correlations, empowere...
Separating Geometry From Interference in Constrained Quantum Optimization
Chinonso Onah, Stuart Hadfield, Kristel Michielsen·Jul 15, 2026
We study the separation of geometric effects from quantum interference in quantum optimization algorithms. Constrained optimization problems such as routing, assignment, and scheduling are often encoded as product spaces of local variables, together ...
Filon Methods for Highly Oscillatory Controlled Quantum Systems
Spencer Lee, Daniel Appelö·Jul 15, 2026
Fast and accurate classical simulation of quantum systems is a central challenge in the design and control of quantum computers, but the highly oscillatory dynamics of these systems severely limit the efficiency of standard numerical methods. To addr...
Tensor Network decoding under inter-qubit correlated errors
Yue Yan, SiYing Wang, ZhiXin Xia +3 more·Jul 15, 2026
The maximum likelihood decoder based on tensor networks has proven highly successful for the 2D surface code, achieving the optimal decoding success rate. However, existing tensor network decoders are typically designed for independent single-qubit e...
Ripple: An Open, AI-Formalized Lean 4 Framework for Computing with CRNs
Ho-Lin Chen, Xiang Huang·Jul 15, 2026
We present Ripple, an open, AI-formalized Lean 4 framework for the mathematics of computing with chemical reaction networks (CRNs) -- one extensible, machine-checked development that gathers several strands of the field into a single setting, and is ...
Security Evaluation of Laser-Phase-Noise Quantum Random Number Generators with Intrinsic Correlations
Y. Gao, J. H Li, J. L. Liu +8 more·Jul 15, 2026
Quantum random number generators are essential for achieving information-theoretical security in modern cryptographic systems. Among various implementations, laser phase noise schemes are widely favored for their simple architecture and high integrat...
Basis-Independent Coherence Dynamics of Tripartite States under Pure Dephasing
Sovik Roy, Abhijit Mandal·Jul 15, 2026
Quantum coherence is a fundamental quantum resource whose preservation under environmental interactions is essential for quantum information processing. While most studies have focused on basis-dependent coherence measures, the dynamics of intrinsic ...
Quantum memory advantage for quantum process tomography
Carlos Bravo-Prieto, Weiyuan Gong, Antonio Anna Mele·Jul 15, 2026
Quantum process tomography, the task of learning an unknown quantum channel from black-box access, is a central problem in quantum information. In this setting, protocols with quantum memory can coherently store and jointly process quantum informatio...
PQFA: Parallel Quantum Feature Augmentation of Fused Representations for Multimodal Classification
Mingzhu Wang, Yun Shang·Jul 15, 2026
Most multimodal learning methods improve how heterogeneous representations are aligned and fused, while post-fusion enhancement remains less explored. We propose Parallel Quantum Feature Augmentation (PQFA), a hybrid quantum-classical framework that ...
Security evaluation of quantum distance-bounding protocols via semidefinite programming
Kevin Bogner, Aysajan Abidin, Dave Singelee +1 more·Jul 15, 2026
Quantum distance-bounding (QDB) protocols let a verifier check that a prover is both genuine and physically nearby. During a timed fast phase of quantum communication, the verifier measures round-trip times to obtain an upper bound on the prover's di...
Deterministic single-electron trapping on solid neon using engineered dielectric surface geometry
Kundan Surse, Eric Helgemo, Andrew Palmer +5 more·Jul 15, 2026
Levitating electron qubit on the surface of solid neon has recently emerged as a promising and intrinsically noise-resilient platform for quantum information processing. Their ultra-clean, inert environment suppresses conventional decoherence pathway...
Suppressing Detuning-Induced Bias in Ramsey Magnetometry with Composite Pulses
Shingo Kukita, Kento Nawata, Yuichiro Matsuzaki·Jul 15, 2026
Quantum sensing estimates a physical parameter encoded in the state of a probe; with independent spin probes the precision follows the standard quantum limit. Studies of sensing precision often assume that the parameters entering the model, such as t...
Deterministic Quantum Phase Estimation with Linear Circuit Complexity in a Photonic System
M. Midhuna, Ajay Jayachandran, Kanad Sengupta +2 more·Jul 15, 2026
Quantum algorithms solve certain computational problems faster than the best known classical algorithms. Many algorithms, including Shor's for factoring, Grover's for unstructured search, and the HHL for solving linear systems, rely on quantum phase ...
A Physics-Grounded QUBO Encoding of Irrigation Scheduling for QAOA
Alisher Ortikov, Alisher Ilhamov·Jul 15, 2026
Rotational irrigation scheduling in water-scarce Central Asia is a densely coupled combinatorial problem: soil-moisture memory links each irrigation decision to all later days within a zone, field adjacency couples zones on overlapping window days, a...
Quantum annealing in SU(3) multiplet space with nonlocal drivers
Yang Wei Koh·Jul 15, 2026
A theoretical framework for quantum annealing based on $\mathfrak{su}(3)$ algebra is proposed, and applied to the problem of overcoming first-order transitions in rugged energy landscapes. Conservation of the Casimir invariant means that one can work...