Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Efficient Approximation of the Wigner Kernel in Phase-Space Quantum Mechanics
Mehran Attar, Bassant Selim, Jean Michel Sellier·Jun 26, 2026
The Signed Particle Formulation provides a particle-based interpretation of quantum mechanics in phase space, where quantum dynamics are represented through the creation and evolution of signed particles. A central computational challenge in this fra...
Efficient targeting of arbitrary excited states with quantum inverse power iteration through filtering polynomials
Srushti Patil, Nina Glaser·Jun 26, 2026
In this work, we introduce a quantum inverse power iteration (QIPI) algorithm based on the quantum singular value transformation (QSVT) to target arbitrary excited states. Given an energy shift $ω$, QIPI prepares the target excited state by iterative...
Parameter-Efficient Continuous-Variable Photonic Quantum Neural Networks for Edge Quantum AI: Demonstration in Oral Cancer Detection
Akshay Bhagwan Sonawane, Sophie Choe, Lakshman Tamil·Jun 26, 2026
Early detection of oral cancer markedly improves clinical outcomes, yet specialized diagnostic tools remain scarce in low-resource settings. Smartphone-based screening is a scalable alternative but needs lightweight models that run within edge-hardwa...
Qudit extension of parameterized IQP circuits: A generative quantum machine learning approach to integer data
Robert J. Banks, Arianna Crippa, Matthias Traube +3 more·Jun 26, 2026
Parameterized Instantaneous Quantum Polynomial (IQP) circuits have proven useful in quantum generative learning models, particularly for binary distributions. However, when applied to non-binary datasets, they exhibit notable limitations: mapping int...
Noise-Directed Adaptive Remapping for Integer Optimization: from qubits to (encoded) qudits
Stuart Hadfield, Filip B. Maciejewski, Davide Venturelli·Jun 26, 2026
We extend Noise-Directed Adaptive Remapping (NDAR), a recently proposed heuristic meta-algorithm that leverages device noise as a computational resource, to optimization problems over discrete (integer) domains. While originally introduced for uncons...
Hybrid Quantum-Classical Neural Networks for Recognizing Quantum Phases
Colin Scarato, Johannes Knörzer, Markus K. Hoffmann +11 more·Jun 26, 2026
Identifying quantum phases of matter is key to understanding strongly correlated materials, but remains a challenging task for both conventional computers and current quantum processors. Here, we introduce and implement a hybrid quantum-classical neu...
Hybrid quantum-classical neural network for sample-efficient recognition of topological phases
Markus K. Hoffmann, Leon C. Sander, Colin Scarato +4 more·Jun 26, 2026
With increasing maturity of quantum computers, standard methods for characterizing global properties of their output quantum states via direct measurements and classical post-processing are becoming increasingly impractical due to large measurement c...
Role of the Casimir force in the capacitive radio-frequency microelectromechanical switches
G. L. Klimchitskaya, A. S. Korotkov, V. V. Loboda +1 more·Jun 26, 2026
We determine the role of the fluctuation-induced Casimir force acting between a membrane of cylindrical shape and a bottom electrode in microelectromechanical capacitive switches. For this purpose, the Casimir force is computed taking into account th...
Vacuum Fluctuation-Induced State Switching in Degenerate Optical Parametric Oscillators
Yihao Huang, Seou Choi, Rom Simovitch +5 more·Jun 26, 2026
Bistable driven-dissipative systems near bifurcations can exhibit noise-activated switching between steady states. Here, we investigate how quantum vacuum fluctuations induce such switching in a biased optical parametric oscillator (OPO), a nonlinear...
Time Evolution on Hybrid Tensor Networks -- A Novel and Parallelizable Algorithm
Tobias V. Bauer, Richard M. Milbradt, Christian B. Mendl·Jun 26, 2026
We develop a novel time-evolution algorithm for matrix product states based on the recently introduced hybrid tensor network (hTN) framework. We retain the tensors close to the boundary on the classical computer and offload the highly entangled inner...
Optimizing Resource Costs: A Practical Guide to Achieving Target Security in Verifiable Blind Quantum Computing
Janice van Dam, Michał van Hooft, Stephanie D. C. Wehner·Jun 26, 2026
Verifiable blind quantum computing (VBQC) enables a resource-limited client to securely delegate computations to an untrusted quantum server while maintaining privacy and detecting deviations from the prescribed computation. The noise-robust VBQC pro...
A Reproducible Pipeline for Symmetry-Respecting Excited States on Near-Term Quantum Computers: The H2O/STO-3G Case
Huajing Song·Jun 26, 2026
Variational excited-state quantum algorithms fail for reasons usually studied in isolation: barren plateaus, symmetry contamination, finite-sampling instability, and hardware cost. Using one small but complete system -- H$_2$O in the STO-3G basis (12...
AI-Driven Synthesis for High-Tech System Design: Automating Innovation
Luuk Oerlemans, Steven Westerhof, Theo Hofman·Jun 26, 2026
This article addresses the combinatorial complexity inherent in modern high-tech system design by presenting automation-in-design (AiD) as a transformative paradigm. We propose computational design synthesis (CDS), a framework utilising deep learning...
Population-Dominated Ergotropy in a Capacitively Coupled Double-Quantum-Dot Battery under 1/f Charge Noise
Khalil Loukhssami, Khadija El Hawary, Sanaa Abaach +1 more·Jun 26, 2026
We investigate extractable work storage in a capacitively coupled double quantum dot (DQD) quantum battery (QB) subjected to experimentally motivated detuning charge noise. The battery is modeled as two interacting charge qubits with an Ising-type ca...
Single Electrons in a Dual-Plane Printed-Circuit-Board Penning Trap
Zirui Fang, Benedict A. D. Sukra, Xing Fan·Jun 26, 2026
We demonstrate single-electron trapping and detection in a two-dimensionally scalable dual-plane printed-circuit-board Penning trap. We characterize deterministic electron loading, axial damping, axial temperature, and collision-induced magnetron-rad...
Static features from mixing in short- and long-range Lindbladians: Markov property and correlations
Paul Rosa-Ruiz, Matteo Scandi, Ángela Capel +1 more·Jun 26, 2026
The classification of mixed-state phases requires criteria beyond two-point correlation functions, such as the decay of the mutual information (MI) and the conditional mutual information (CMI), with the latter encapsulated in the notion of Markov len...
Quantum Correlations in the Decay of $B^0$ meson and Entanglement Entropy
Divya Sharma, Vaibhav Rawoot, Sudip Kumar Haldar·Jun 26, 2026
We present a phenomenological study of quantum correlations in the decay of $B^0$ mesons into a system of two vector mesons. The decay of the $B^0$ meson into two vector mesons constitutes a bipartite system of two qutrits. The entanglement entropy i...
Squeezing enhanced homodyne weak force sensing in cavity optomechanics
Madan Mohan Mahana, Sanket Das, Tarak Nath Dey·Jun 26, 2026
Cavity optomechanical systems have emerged as a promising platform for quantum sensing. Quantum mechanics imposes a standard quantum limit (SQL) on the force-sensitivity for the standard homodyne phase quadrature measurement of the cavity's output fi...
Hard-core Bosons in Action: Applications to Quantum Circuits
David Emmanuel-Costa, Michael Epping·Jun 26, 2026
The use of algebraic frameworks based on complex Clifford algebras for the representation and simulation of quantum circuits has been discussed in the literature. Recently, an alternative algebraic approach employing hard-core bosons has been propose...
Quantum Multi-Party Threshold Private Set Intersection with Explicit Cardinality Testing
Zixian Gong, Kun Tian, Yi Zhang +1 more·Jun 26, 2026
Threshold private set intersection (TPSI) allows parties to reveal their intersection only when its cardinality reaches a prescribed threshold. Existing quantum TPSI protocols typically rely on a third party (TP) to interpret the final results, which...