Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum simulation using Trotterized disorder Hamiltonians in a single-mode optical cavity
Rahel Lea Baumgartner, Pietro Pelliconi, Soumik Bandyopadhyay +4 more·Dec 15, 2025
All-to-all interacting and disordered many-body systems are notoriously hard to simulate on quantum platforms, as interactions are commonly mediated by auxiliary degrees of freedom that lower the amount of disorder, introducing undesired correlations...
Matrix Product State Simulation of Reacting Shear Flows
Robert Pinkston, Nikita Gourianov, Hirad Alipanah +3 more·Dec 15, 2025
Direct numerical simulation (DNS) of turbulent reactive flows has been the subject of significant research interest for several decades. Accurate prediction of the effects of turbulence on the rate of reactant conversion, and the subsequent influence...
Towards Quantum Advantage in Chemistry
Scott N. Genin, Ohyun Kwon, Seyyed Mehdi Hosseini Jenab +7 more·Dec 15, 2025
Molecular simulations are widely regarded as leading candidates to demonstrate quantum advantage--defined as the point at which quantum methods surpass classical approaches in either accuracy or scale. Yet the qubit counts and error rates required to...
Optimised Fermion-Qubit Encodings for Quantum Simulation with Reduced Transpiled Circuit Depth
Michael Williams de la Bastida, Thomas M. Bickley, Peter V. Coveney·Dec 15, 2025
Simulation of fermionic Hamiltonians with gate-based quantum computers requires the selection of an encoding from fermionic operators to quantum gates, the most widely used being the Jordan-Wigner transform. Many alternative encodings exist, with qua...
Tensor Network Formulation of Dequantized Algorithms for Ground State Energy Estimation
Hidetaka Manabe, Takanori Sugimoto, Keisuke Fujii·Dec 15, 2025
Verifying quantum advantage for practical problems, particularly the ground state energy estimation (GSEE) problem, is one of the central challenges in quantum computing theory. For that purpose, dequantization algorithms play a central role in provi...
Quantum critical dynamics and emergent universality in decoherent digital quantum processors
Brendan Rhyno, Swarnadeep Majumder, Smitha Vishveshwara +1 more·Dec 15, 2025
Understanding how noise influences nonequilibrium quantum critical dynamics is essential for both fundamental physics and the development of practical quantum technologies. While the quantum Kibble-Zurek (QKZ) mechanism predicts universal scaling dur...
Intense-Laser Nondipole-Induced Symmetry Breaking in Solids
Asger Weeth, Lars Bojer Madsen·Dec 15, 2025
High-harmonic spectroscopy in solids gives insight into the inner workings of solids, such as reconstructing band structures or probing the topological phase of materials. High-harmonic generation (HHG) is a highly non-linear phenomena and simulation...
A Joint Quantum Computing, Neural Network and Embedding Theory Approach for the Derivation of the Universal Functional
Martin J. Uttendorfer, Daniel Barragan-Yani, Matthias Sperl +1 more·Dec 15, 2025
We introduce a novel approach that exploits the intersection of quantum computing, machine learning and reduced density matrix functional theory to leverage the potential of quantum computing to improve simulations of interacting quantum particles. O...
Quantum simulation of strong charge-parity violation and Peccei-Quinn mechanism
Le Bin Ho·Dec 15, 2025
Quantum Chromodynamics (QCD) admits a topological $\barθ$ term that violates charge-parity ($CP$) symmetry, yet experiments indicate that $\barθ$ is extremely small. To investigate this problem in a controlled setting, we derive a Hamiltonian formula...
Imaginary-time-enhanced feedback-based quantum algorithms for universal ground-state preparation
Thanh Nguyen Van Long, Lan Nguyen Tran, Le Bin Ho·Dec 15, 2025
Preparing ground states of strongly correlated quantum systems is a central goal in quantum simulation and optimization. The feedback-based quantum algorithm (FALQON) provides an attractive alternative to variational methods with a fully quantum feed...
Single-step Quantum Simulation of Two Nucleons
Bhoomika Maheshwari, Paul Stevenson, P. Van Isacker·Dec 14, 2025
Quantum computing offers a scalable approach to solving the nuclear shell model, a highly complex and exponentially scaled many-body problem. This work presents a numerical simulation of the subspace search variational quantum eigensolver (SSVQE) com...
Probing the Crossover between Dynamical Phases with Local Correlations in a Rydberg Atom Array
Xiaofeng Wu, Xin Wang, Sixun Jia +1 more·Dec 14, 2025
The experimental detection of non-equilibrium quantum criticality remains a challenge, as traditional signatures like dynamical quantum phase transitions rely on hard-to-measure global properties. Here, we demonstrate that local connected correlation...
FiD-QAE: A Fidelity-Driven Quantum Autoencoder for Credit Card Fraud Detection
Mansour El Alami, Adam Innan, Nouhaila Innan +2 more·Dec 14, 2025
Credit card fraud detection is a critical task in financial security, as fraudulent transactions are rare, highly imbalanced, and often resemble legitimate ones. A wide range of classical machine learning methods, as well as more recent quantum machi...
Extended dissipaton theory for higher-order bath couplings and application to non-Condon spectroscopy with anharmonicity
Zi-Fan Zhu, Yu Su, Yao Wang +2 more·Dec 14, 2025
In this work, we develop an extended dissipaton theory that generalizes the environmental couplings beyond the conventional linear and quadratic forms, enabling the treatment of arbitrary order of bath couplings. Applying this theoretical framework t...
Scalable Quantum Error Mitigation with Neighbor-Informed Learning
Zhenyu Chen, Bin Cheng, Minbo Gao +4 more·Dec 14, 2025
Noise in quantum hardware is the primary obstacle to realizing the transformative potential of quantum computing. Quantum error mitigation (QEM) offers a promising pathway to enhance computational accuracy on near-term devices, yet existing methods f...
Robustness analysis in static and dynamic quantum state tomography
Alan Chen, Shuixin Xiao, Hailan Ma +1 more·Dec 14, 2025
Quantum state tomography is a core task in quantum system identification. Real experimental conditions often deviate from nominal designs, introducing errors in both the measurement devices and the Hamiltonian governing the system's dynamics. In this...
A Comparative Study of Encoding Strategies for Quantum Convolutional Neural Networks
Xingyun Feng·Dec 14, 2025
Quantum convolutional neural networks (QCNNs) offer a promising architecture for near-term quantum machine learning by combining hierarchical feature extraction with modest parameter growth. However, any QCNN operating on classical data must rely on ...
Imaging Walk-Off Driven Distortions in EPR Photon Pair Correlations
Christian Howard, Roohollah Ghobadi, Nazanin Dehghan +2 more·Dec 13, 2025
Spontaneous parametric down-conversion is the primary source of position-correlated and momentum-anticorrelated photon pairs that form the canonical Einstein-Podolsky-Rosen (EPR) state. Their transverse spatial correlations are usually analyzed withi...
Experimental benchmark of the quantum-classical crossover in a spin ladder
Hironori Yamaguchi, Itsuki Shimamura, Akira Matsuo +4 more·Dec 13, 2025
We report a spin-(1/2, 5/2) three-leg ladder realized in a radical-Mn polymer, exhibiting an antiferromagnetic transition and magnetization curves accurately described by classical mean-field theory. Although the underlying spin model intrinsically s...
Symmetry Dilemmas in Quantum Computing for Chemistry: A Comprehensive Analysis
Ilias Magoulas, Muhan Zhang, Francesco A. Evangelista·Dec 13, 2025
Symmetry adaptation, universality, and gate efficiency are central but often competing requirements in quantum algorithms for electronic structure and many-body physics. For example, fully symmetry-adapted universal operator pools typically generate ...