Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
28,250
This Month
22
Today
0
Research Volume
13,398 papers in 12 months (-22% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
QEDtool: A Python package for numerical quantum information in quantum electrodynamics
Jesse Smeets, Preslav Asenov, Alessio Serafini·Sep 15, 2025
This is the manual of the first version of QEDtool, an object-oriented Python package that performs numerical quantum electrodynamics calculations, with focus on full state reconstruction in the internal degrees of freedom, correlations and entanglem...
Loading and Imaging Atom Arrays via Electromagnetically Induced Transparency
Emily H. Qiu, Tamara Šumarac, Peiran Niu +9 more·Sep 15, 2025
Arrays of neutral atoms present a promising system for quantum computing, quantum sensors, and other applications, several of which would profit from the ability to load, cool, and image the atoms in a finite magnetic field. In this work, we develop ...
Spatial structure of multipartite entanglement at measurement induced phase transitions
James Allen, William Witczak-Krempa·Sep 15, 2025
We study multiparty entanglement near measurement induced phase transitions (MIPTs), which arise in ensembles of local quantum circuits built with unitaries and measurements. In contrast to equilibrium quantum critical transitions, where entanglement...
Collective resonance displacement in strongly driven cold atoms
Mateus A. F. Biscassi, Robin Kaiser, Mathilde Hugbart +1 more·Sep 15, 2025
Cold atoms are promising platforms for metrology and quantum computation, yet their many-body dynamics remains largely unexplored. We here investigate Rabi oscillations from optically-thick cold clouds, driven by high-intensity coherent light. A dyna...
HiPARS: Highly-Parallel Atom Rearrangement Sequencer
Jonas Winklmann, Martin Schulz·Sep 15, 2025
Neutral atom quantum computing's great scaling potential has resulted in it emerging as a popular modality in recent years. For state preparation, atoms are loaded stochastically and have to be detected and rearranged at runtime to create a predeterm...
Adiabatically driven dissipative many-body quantum spin systems
Paulo J. Paulino, Stefan Teufel, Federico Carollo +1 more·Sep 15, 2025
We explore the evolution of a strongly interacting dissipative quantum Ising spin chain that is driven by a slowly varying time-dependent transverse field. This system possesses an extensive number of instantaneous (adiabatic) stationary states which...
Learning kernels with quantum optical circuits
A. Mandilara, A. D. Papadopoulos, D. Syvridis·Sep 15, 2025
Support Vector Machines (SVMs) are a cornerstone of supervised learning, widely used for data classification. A central component of their success lies in kernel functions, which enable efficient computation of inner products in high-dimensional feat...
Quantum reservoir computing for predicting and characterizing chaotic maps
Qingyu Li, Chiranjib Mukhopadhyay, Ludovico Minati +1 more·Sep 15, 2025
Quantum reservoir computing has emerged as a promising paradigm for harnessing quantum systems to process temporal data efficiently by bypassing the costly training of gradient-based learning methods. Here, we demonstrate the capability of this appro...
Radio-frequency charge detection on graphene electron-hole double quantum dots
Katrin Hecker, Samuel Möller, Hubert Dulisch +10 more·Sep 15, 2025
High-fidelity detection of charge transitions in quantum dots (QDs) is a key ingredient in solid state quantum computation. We demonstrate high-bandwidth radio-frequency charge detection in bilayer graphene quantum dots (QDs) using a capacitively cou...
Spectral Small-Incremental-Entangling: Breaking Quasi-Polynomial Complexity Barriers in Long-Range Interacting Systems
Donghoon Kim, Yusuke Kimura, Hugo Mackay +6 more·Sep 15, 2025
How the detailed structure of quantum complexity emerges from quantum dynamics remains a fundamental challenge highlighted by advances in quantum simulators and information processing. The celebrated Small-Incremental-Entangling (SIE) theorem provide...
Evaluating Variational Quantum Circuit Architectures for Distributed Quantum Computing
Leo Sünkel, Jonas Stein, Jonas Nüßlein +2 more·Sep 15, 2025
Scaling quantum computers, i.e., quantum processing units (QPUs) to enable the execution of large quantum circuits is a major challenge, especially for applications that should provide a quantum advantage over classical algorithms. One approach to sc...
From Quantum Tsallis Entropy to Strange Metals
Xian-Hui Ge·Sep 15, 2025
We develop a unified framework connecting quantum Tsallis statistics to electronic transport in strongly interacting systems. Starting from Rényi and Tsallis entropies, we construct a quantum Tsallis distribution that reduces to the conventional Ferm...
Characterizing Scaling Trends of Post-Compilation Circuit Resources for NISQ-era QML Models
Rupayan Bhattacharjee, Pau Escofet, Santiago Rodrigo +3 more·Sep 15, 2025
This work investigates the scaling characteristics of post-compilation circuit resources for Quantum Machine Learning (QML) models on connectivity-constrained NISQ processors. We analyze Quantum Kernel Methods and Quantum Neural Networks across proce...
Approximating the operator norm of local Hamiltonians via few quantum states
Lars Becker, Joseph Slote, Alexander Volberg +1 more·Sep 15, 2025
Consider a Hermitian operator $A$ acting on a complex Hilbert space of dimension $2^n$. We show that when $A$ has small degree in the Pauli expansion, or in other words, $A$ is a local $n$-qubit Hamiltonian, its operator norm can be approximated inde...
Formation of oriented polar molecules with a single shaped pulse
Murilo D. Forlevesi, Edson Denis Leonel, Emanuel F. de Lima·Sep 15, 2025
We explore the possibility of forming a oriented polar molecule directly from a pair of colliding atoms. The process comprises the photoassociation and vibrational stabilization along with the molecular orientation. These processes are driven by a si...
Quantum Noise Tomography with Physics-Informed Neural Networks
Antonin Sulc·Sep 15, 2025
Characterizing the environmental interactions of quantum systems is a critical bottleneck in the development of robust quantum technologies. Traditional tomographic methods are often data-intensive and struggle with scalability. In this work, we intr...
Quantum Storage of Qubits in an Array of Independently Controllable Solid-State Quantum Memories
Markus Teller, Susana Plascencia, Samuele Grandi +1 more·Sep 15, 2025
Random-access quantum memories may offer computational advantages for quantum computers and networks. In this paper, we advance arrays of solid-state quantum memories towards their usage as random-access quantum memory. We perform quantum storage of ...
Towards a Global Scale Quantum Information Network: A Study Applied to Satellite-Enabled Distributed Quantum Computing
Laurent de Forges de Parny, Luca Paccard, Mathieu Bertrand +8 more·Sep 15, 2025
Recent developments have reported on the feasibility of interconnecting small quantum registers in a quantum information network of a few meter-scale for distributed quantum computing purposes. This multiple small-scale quantum processors communicati...
-Continuum limit of bipartite lattices -- The SSH model
Fotios K. Diakonos, P. Schmelcher·Sep 15, 2025
We present a continuous non-local model that faithfully replicates the rich topological and spectral features of the Su-Schrieffer-Heeger (SSH) model. Remarkably, our model shares the SSH models bulk energy spectrum, eigenstates, and Zak phase, hallm...
Quantum Algorithms in the Quantum Mechanics Curriculum
Anna Liv Paludan Bjerregaard, Kim Splittorff·Sep 15, 2025
We provide an example of a quantum system which solves a numerical problem more efficiently than a classical computer. The example uses the Aharonov-Bohm effect, and can be integrated into standard quantum mechanics courses. The aim is to help studen...