Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Variational quantum algorithm for anion exchange across electrolyzer membrane
Timur Gubaev, Philipp Pfeffer, Christian Dreßler +1 more·Nov 30, 2025
We present a variational quantum algorithm that solves the one-dimensional diffusion problem with a space-dependent diffusion constant $D(x)$. This problem is relevant for the exchange of hydroxide ions across a multi-layer membrane in an alkaline el...
Unsupervised Machine Learning for Experimental Detection of Quantum-Many-Body Phase Transitions
Ron Ziv, David Wei, Antonio Rubio-Abadal +7 more·Nov 30, 2025
Quantum many-body (QMB) systems are generally computationally hard: the computing resources necessary to simulate them exactly can often exceed the existing computation resources by orders of magnitude. For this reason, Richard Feynman proposed the c...
From Promise to Practice: Benchmarking Quantum Chemistry on Quantum Hardware
Osama M. Raisuddin, Haimeng Zhang, Mario Motta +1 more·Nov 30, 2025
We provide a systematic evaluation of the sample-based quantum diagonalization (SQD) method for electronic structure based on the W4-11 thermochemistry dataset, comprising 124 total atomization, 83 bond dissociation, 20 isomerization, 505 heavy-atom ...
Exact quantum dynamics of Fermi--Hubbard systems using the Gaussian phase-space representation with diffusion gauges
F Rousse, M Fasi, A Dmytryshyn +3 more·Nov 30, 2025
We use the Gaussian Phase-Space Representation to solve the real-time dynamic of interacting fermions in 1D, 2D, and 3D systems. The method is exact up to a spiking point, which represents a limit on the practical simulation time. The spiking can be ...
Efficient Self-Consistent Quantum Comb Tomography on the Product Stiefel Manifold
Xinlin He, Zetong Li, Congcong Zheng +3 more·Nov 30, 2025
Characterizing non-Markovian quantum dynamics is currently hindered by the self-inconsistency and high computational complexity of existing quantum comb tomography (QCT) methods. In this work, we propose a self-consistent framework that unifies the q...
Multiqubit Rydberg Gates for Quantum Error Correction
David F. Locher, Josias Old, Katharina Brechtelsbauer +4 more·Nov 30, 2025
Multiqubit gates that involve three or more qubits are usually thought to be of little significance for fault-tolerant quantum error correction because single gate faults can lead to high-weight correlated errors. However, recent works have shown tha...
Boosting Gaussian Boson Sampling using Optical Parametric Amplification Networks
Yukuan Zhao, Xiao-Ye Xu, Chuan-Feng Li +1 more·Nov 30, 2025
Gaussian Boson Sampling (GBS) provides a route toward demonstrating quantum computational advantage. However, optical loss, which reduces the entanglement in the system, can render GBS results classically simulable. We propose a nonlinear photonic ar...
Weighted Projective Line ZX Calculus: Quantized Orbifold Geometry for Quantum Compilation
Gunhee Cho, Jason Cheng, Evelyn Li·Nov 30, 2025
We develop a unified geometric framework for quantum circuit compilation based on quantized orbifold phases and their diagrammatic semantics. Physical qubit platforms impose heterogeneous phase resolutions, anisotropic Bloch-ball contractions, and ha...
Quantum Machine Learning for Secondary Frequency Control
Younes Ghazagh Jahed, Alireza Khatiri·Nov 29, 2025
Frequency control in power systems is critical to maintaining stability and preventing blackouts. Traditional methods like meta-heuristic algorithms and machine learning face limitations in real-time applicability and scalability. This paper introduc...
UNIQ: Communication-Efficient Distributed Quantum Computing via Unified Nonlinear Integer Programming
Hui Zhong, Jiachen Shen, Lei Fan +4 more·Nov 29, 2025
Distributed quantum computing (DQC) is widely regarded as a promising approach to overcome quantum hardware limitations. A major challenge in DQC lies in reducing the communication cost introduced by remote CNOT gates, which are significantly slower ...
Tailoring Bell inequalities to the qudit toric code and self testing
Eloïc Vallée, Owidiusz Makuta, Patrick Emonts +2 more·Nov 28, 2025
Bell nonlocality provides a robust scalable route to the efficient certification of quantum states. Here, we introduce a general framework for constructing Bell inequalities tailored to the $\mathbb{Z}_d$ toric code for odd prime local dimensions. Se...
A Heuristic for Matrix Product State Simulation of Out-of-Equilibrium Dynamics of Two-Dimensional Transverse-Field Ising Models
Salvatore Mandrà, Nikita Astrakhantsev, Sergei Isakov +4 more·Nov 28, 2025
Out-of-equilibrium dynamics of non-integrable Hamiltonian many-body quantum systems are characterized by highly entangled wave functions. Near-maximal entanglement arises in systems exhibiting thermalization or pre-thermalization, where the system co...
Bounded-Error Quantum Simulation via Hamiltonian and Lindbladian Learning
Tristan Kraft, Manoj K. Joshi, William Lam +11 more·Nov 28, 2025
Analog Quantum Simulators offer a route to exploring strongly correlated many-body dynamics beyond classical computation, but their predictive power remains limited by the absence of quantitative error estimation. Establishing rigorous uncertainty bo...
Quantum Cubature Codes
Yaoling Yang, Andrew Tanggara, Tobias Haug +1 more·Nov 28, 2025
Bosonic codes utilize the infinite-dimensional Hilbert space of harmonic oscillators to encode quantum information, offering a hardware-efficient approach to quantum error correction. Designing these codes requires precise geometric arrangements of q...
Exchange interaction in gate-defined quantum dots beyond the Hubbard model
Alexander Willmes, Patrick Bethke, M. Mohamed El Kordy Shehata +10 more·Nov 28, 2025
A quantitative description of the exchange interaction in quantum dots is relevant for modeling gate operations of spin qubits. By measuring the amplitude and frequency of exchange-driven qubit state oscillations, we measure the detuning dependence o...
Nonstabilizerness Estimation using Graph Neural Networks
Vincenzo Lipardi, Domenica Dibenedetto, Georgios Stamoulis +2 more·Nov 28, 2025
This article proposes a Graph Neural Network (GNN) approach to estimate nonstabilizerness in quantum circuits, measured by the stabilizer Rényi entropy (SRE). Nonstabilizerness is a fundamental resource for quantum advantage, and efficient SRE estima...
Refinements of the Eigenstate Thermalization Hypothesis under Local Rotational Invariance via Free Probability
Elisa Vallini, Laura Foini, Silvia Pappalardi·Nov 28, 2025
The Eigenstate Thermalization Hypothesis (ETH) was developed as a framework for understanding how the principles of statistical mechanics emerge in the long-time limit of isolated quantum many-body systems. Since then, ETH has shifted the attention t...
Efficient Identification of Permutation Symmetries in Many-Body Hamiltonians via Graph Theory
Saumya Shah, Patrick Rebentrost·Nov 28, 2025
The computational cost of simulating quantum many-body systems can often be reduced by taking advantage of physical symmetries. While methods exist for specific symmetry classes, a general algorithm to find the full permutation symmetry group of an a...
Algorithmic Quantum Simulations of Quantum Thermodynamics
Yangsen Ye, Jue Nan, Dong Chen +27 more·Nov 28, 2025
Characterizing quantum phases-of-matter at finite-temperature is essential for understanding complex materials and large-scale thermodynamic phenomena. Here, we develop algorithmic protocols for simulating quantum thermodynamics on quantum hardware t...
Escaping Barren Plateaus in Variational Quantum Algorithms Using Negative Learning Rate in Quantum Internet of Things
Ratun Rahman, Dinh C. Nguyen·Nov 28, 2025
Variational Quantum Algorithms (VQAs) are becoming the primary computational primitive for next-generation quantum computers, particularly those embedded as resource-constrained accelerators in the emerging Quantum Internet of Things (QIoT). However,...