Papers
Live trends in quantum computing research, updated daily from arXiv.
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Diagnosing Quantum Circuits: Noise Robustness, Trainability, and Expressibility
Yuguo Shao, Zhenyu Chen, Zhaohui Wei +1 more·Sep 14, 2025
Achieving practical quantum advantage on near-term noisy hardware is a central goal of quantum computation. However, without efficient pre-execution diagnostics, circuit design and scheme selection often rely on costly hardware-in-the-loop trial-and-...
Hidden correlations in quantum jumps: A theory of individual trials
Hiroshi Ishikawa·Sep 14, 2025
Quantum trajectory theories have not fully reconciled discrete quantum jumps with continuous unitary evolution. We address this challenge by developing a hidden variable formulation that reveals hidden correlations in individual trials. We represent ...
Multi-Partitioned Meshfree Quantum Finite Particle Method: A Hybrid Quantum Framework for Fluid Flow
Yudong Li, Wenkui Shi, Yan Li +5 more·Sep 14, 2025
This study established a quantum-classical hybrid framework that integrates quantum computing paradigm with meshfree finite particle method. By harnessing quantum superposition and entanglement, it hybridized the critical computational kernels (terme...
The Emergence of Objective Classicality: A Computational First-Principles Study of Observer-Induced Decoherence in Unitary Quantum Mechanics
Eyad I. B Hamid·Sep 14, 2025
The quantum measurement problem, the unresolved conflict between the unitary evolution of the wave function and the postulate of wave function collapse, remains the most profound conceptual challenge in quantum foundations. While environment-induced ...
On the Monotonicity of relative entropy: A Comparative Study of Petz's and Uhlmann's Approaches
Santiago Matheus, Francesco Bottacin, Edoardo Provenzi·Sep 14, 2025
We revisit the monotonicity of relative entropy under the action of quantum channels, a foundational result in quantum information theory. Among the several available proofs, we focus on those by Petz and Uhlmann, which we reformulate within a unifie...
Frustration-Enhanced Quantum Annealing Correction Models with Additional Inter-replica Interactions
Tomohiro Hattori, Shu Tanaka·Sep 14, 2025
Quantum annealing correction (QAC) models provide a promising approach for mitigating errors in quantum annealers. Previous studies have established that QAC models are crucial for ensuring the robustness of the ground state of the Ising model on har...
Gradients, parallelism, and variance of quantum estimates
Francesco Preti, Michael Schilling, József Zsolt Bernád +3 more·Sep 14, 2025
Computation of observables and their gradients on near-term quantum hardware is a central aspect of any quantum algorithm. In this work, we first review standard approaches to the estimation of observables with and without quantum amplitude estimatio...
Quantum Architecture Search for Solving Quantum Machine Learning Tasks
Michael Kölle, Simon Salfer, Tobias Rohe +2 more·Sep 14, 2025
Quantum computing leverages quantum mechanics to address computational problems in ways that differ fundamentally from classical approaches. While current quantum hardware remains error-prone and limited in scale, Variational Quantum Circuits offer a...
Quantum Hierarchical Fokker-Planck Equations with U(1) Gauge Fields (U(1)-QHFPE): A Computational Framework for Aharonov-Bohm Effects
Shoki Koyanagi, Hyeonseok Yang, Yoshitaka Tanimura·Sep 14, 2025
We introduce U(1)-QHFPE, a non-Markovian and non-perturbative open quantum dynamics software package for solving quantum Fokker-Planck equations incorporating gauge fields within the Hierarchical Equations of Motion (HEOM) formalism. The framework ri...
Investigating the Lottery Ticket Hypothesis for Variational Quantum Circuits
Michael Kölle, Leonhard Klingert, Julian Schönberger +3 more·Sep 14, 2025
Quantum computing is an emerging field in computer science that has seen considerable progress in recent years, especially in machine learning. By harnessing the principles of quantum physics, it can surpass the limitations of classical algorithms. H...
Spectrum measurement of quantum channels and application to Hamiltonian parameter estimation
Yuan-De Jin, Wen-Long Ma·Sep 14, 2025
Quantum channels describe the most general dynamics of open quantum systems. A quantum channel, as a linear map on vectorized quantum states, can be represented by a single matrix, whose spectrum is called the channel spectrum. Here we propose a gene...
Hybrid Quantum Branch-and-Bound Method for Quadratic Unconstrained Binary Optimization
Zedong Peng, Daniel de Roux, David E. Bernal Neira·Sep 14, 2025
Quantum algorithms have shown promise in solving Quadratic Unconstrained Binary Optimization (QUBO) problems, benefiting from their connection to the transverse field Ising model. Various Ising solvers, both classical and quantum, have emerged to tac...
Partition function of the Kitaev quantum double model
Anna Ritz-Zwilling, Benoît Douçot, Steven H. Simon +2 more·Sep 13, 2025
We compute the degeneracy of energy levels in the Kitaev quantum double model for any discrete group $G$ on any planar graph forming the skeleton of a closed orientable surface of arbitrary genus. The derivation is based on the fusion rules of the pr...
Measuring pulse heating in Si quantum dots with individual two-level fluctuators
Feiyang Ye, Lokendra S. Dhami, John M. Nichol·Sep 13, 2025
To encode quantum information in semiconductor spin qubits, voltage pulses are necessary for initialization, gate operation, and readout. However, these pulses dissipate heat, shifting spin-qubit frequencies and reducing gate fidelities. The cause of...
A structure theorem for complex-valued quasiprobability representations of physical theories
Rafael Wagner, Roberto D. Baldijão, Matthias Salzger +3 more·Sep 13, 2025
Quasiprobability representations are well-established tools in quantum information science, with applications ranging from the classical simulability of quantum computation to quantum process tomography, quantum error correction, and quantum sensing....
Practical Routing and Criticality in Large-Scale Quantum Communication Networks
Cillian Harney, S. Pirandola·Sep 13, 2025
The efficacy of a communication network hinges upon both its physical architecture and the protocols that are employed within it. In the context of quantum communications, there exists a fundamental rate-loss tradeoff for point-to-point quantum chann...
Erasing Classical Memory with Quantum Fluctuations: Shannon Information Entropy of Reverse Quantum Annealing
Elijah Pelofske, C. Nisoli·Sep 13, 2025
Quantum annealers can provide non-local optimization by tunneling between states in a process that ideally eliminates memory of the initial configuration. We study the crossover between memory loss and retention due to quantum fluctuations, in a tran...
Quantum parameter estimation with uncertainty quantification from continuous measurement data using neural network ensembles
Amanuel Anteneh·Sep 12, 2025
We show that ensembles of deep neural networks, called deep ensembles, can be used to perform quantum parameter estimation while also providing a means for quantifying uncertainty in parameter estimates, which is a key advantage of using Bayesian inf...
Design and Optimization of Spin Dynamics in Ge Quantum Dots: g-Factor Modulation, Geometry-Induced Dephasing Sweet Spots, and Phonon-Induced Relaxation
Ngoc Duong, Daryoosh Vashaee·Sep 12, 2025
Gate geometry and bias asymmetry can be used to engineer spin dynamics in gate-defined Ge hole quantum dots by reshaping the confinement potential and driving transitions between distinct confinement regimes. In this work, we show that these transiti...
Vibe Coding in Product Teams: Reconfiguring AI-Assisted Workflows, Prototyping, and Collaboration
Jie Li, Youyang Hou, Laura Lin +3 more·Sep 12, 2025
Generative AI is reshaping product design practices through "vibe coding," where product team members express intent in natural language and AI translates it into functional prototypes and code. Despite rapid adoption, little research has examined ho...