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 Computation of a Quasiparticle Band Structure with the Quantum-Selected Configuration Interaction
Takahiro Ohgoe, Hokuto Iwakiri, Kazuhide Ichikawa +2 more·Apr 1, 2025
Quasiparticle band structures are fundamental for understanding strongly correlated electron systems. While solving these structures accurately on classical computers is challenging, quantum computing offers a promising alternative. Specifically, the...
Improved quantum lattice Boltzmann method for advection-diffusion equations with a linear collision model.
Li Xu, Ming Li, Lei Zhang +2 more·Apr 1, 2025
Quantum computing has made tremendous progress in recent years, providing potentialities for breaking the bottleneck of computing power in the field of scientific computing, like computational fluid dynamics. To reduce computational costs and achieve...
Operating two exchange-only qubits in parallel
Mateusz T. Mkadzik, F. Luthi, G. Guerreschi +38 more·Apr 1, 2025
Semiconductors are among the most promising platforms to implement large-scale quantum computers, as advanced manufacturing techniques allow fabrication of large quantum dot arrays1. Various qubit encodings can be used to store and manipulate quantum...
Machine Learning assisted noise classification with Quantum Key Distribution protocols
Shreya Banerjee, A. Ashmi, P. Panigrahi·Apr 1, 2025
We propose a hybrid protocol to classify quantum noises using supervised classical machine learning models and simple quantum key distribution protocols. We consider the quantum bit error rates (QBERs) generated in QKD schemes under consideration of ...
Diversity Methods for Improving Convergence and Accuracy of Quantum Error Correction Decoders Through Hardware Emulation
Francisco Garcia-Herrero, Javier Valls, Llanos Vergara-Picazo +1 more·Apr 1, 2025
As quantum computing moves toward fault-tolerant architectures, quantum error correction (QEC) decoder performance is increasingly critical for scalability. Understanding the impact of transitioning from floating-point software to finite-precision ha...
Fault-tolerant correction-ready encoding of the [[7,1,3]] Steane code on a 2D grid
A. Rodríguez-Blanco, Ho Nam Nguyen, K. B. Whaley·Apr 1, 2025
Practical quantum computation heavily relies on the ability to perform quantum error correction in a fault-tolerant manner. Fault-tolerant encoding is a critical first step, and careful consideration of the error correction cycle that follows is esse...
LimTDD: A Compact Decision Diagram Integrating Tensor and Local Invertible Map Representations
Xin Hong, Aochu Dai, Dingchao Gao +3 more·Apr 1, 2025
Tensor networks serve as a powerful tool for efficiently representing and manipulating high-dimensional data in applications such as quantum physics, machine learning, and data compression. Tensor Decision Diagrams (TDDs) offer an efficient framework...
Quantum Resetting Protocols Based on Synchronizing Words
Jkedrzej Stempin, Jan W'ojcik, Andrzej Grudka +3 more·Apr 1, 2025
Resetting a system's state plays a fundamental role in physics, engineering, computer science, and many other fields. Here we focus on a method originally proposed in automata theory. The state of an automaton evolves according to a set of rules. The...
CNOT-Optimal Clifford Synthesis as SAT
Irfansha Shaik, J. V. D. Pol·Apr 1, 2025
Clifford circuit optimization is an important step in the quantum compilation pipeline. Major compilers employ heuristic approaches. While they are fast, their results are often suboptimal. Minimization of noisy gates, like 2-qubit CNOT gates, is cru...
Introduction to QUDO, Tensor QUDO and HOBO formulations: Qudits, Equivalences, Knapsack Problem, Traveling Salesman Problem and Combinatorial Games
Alejandro Mata Ali·Mar 31, 2025
In this paper, we present a brief review and introduction to Quadratic Unconstrained D-ary Optimization (QUDO), Tensor Quadratic Unconstrained D-ary Optimization (T-QUDO) and Higher-Order Unconstrained Binary Optimization (HOBO) formulations for comb...
Deterministic quantum trajectory via imaginary time evolution
Shivan Mittal, Bin Yan·Mar 31, 2025
Stochastic quantum trajectories, such as pure state evolutions under unitary dynamics and random measurements, offer a crucial ensemble description of many-body open system dynamics. Recent studies have highlighted that individual quantum trajectorie...
Quantum inputs in the prepare-and-measure scenario and stochastic teleportation
Elna Svegborn, Jef Pauwels, Armin Tavakoli·Mar 31, 2025
We investigate prepare-and-measure scenarios in which a sender and a receiver use entanglement to send quantum information over a channel with limited capacity. We formalise this framework, identify its basic properties and provide numerical tools fo...
Digital Quantum Simulation of the Lindblad Master Equation and Its Nonlinear Extensions via Quantum Trajectory Averaging
Yu-Guo Liu, Heng Fan, Shu Chen·Mar 31, 2025
Since precisely controlling dissipation in realistic environments is challenging, digital simulation of the Lindblad master equation (LME) is of great significance for understanding nonequilibrium dynamics in open quantum systems. However, achieving ...
Variational Perturbation Theory in Open Quantum Systems for Efficient Steady State Computation
André Melo, Gaspard Beugnot, Fabrizio Minganti·Mar 31, 2025
Determining the steady state of an open quantum system is crucial for characterizing quantum devices and studying various physical phenomena. Often, computing a single steady state is insufficient, and it is necessary to explore its dependence on mul...
Suppression and enhancement of bosonic stimulation by atomic interactions
Konstantinos Konstantinou, Yansheng Zhang, Paul H. C. Wong +7 more·Mar 31, 2025
The tendency of identical bosons to bunch, seen in the Hanbury Brown-Twiss effect and Bose-Einstein condensation, is a hallmark of quantum statistics. This bunching can enhance the rates of fundamental processes such as atom-atom and atom-light scatt...
The fundamental localization phases in quasiperiodic systems: A unified framework and exact results
Xin-Chi Zhou, Bing-Chen Yao, Yongjian Wang +4 more·Mar 31, 2025
The disordered quantum systems host three classes of quantum states, the extended, localized, and critical, which bring up seven distinct fundamental phases in nature: three pure phases and four coexisting ones with mobility edges, yet a unified theo...
Recursion method for out-of-equilibrium many-body dynamics: strengths and limitations
Ilya Shirokov, Viacheslav Khrushchev, Filipp Uskov +3 more·Mar 31, 2025
The recursion method, which solves coupled Heisenberg equations in a Lanczos operator basis, has recently emerged as a powerful nonperturbative tool for computing dynamical correlation functions in strongly correlated two- and three-dimensional quant...
Inductive Graph Representation Learning with Quantum Graph Neural Networks
Arthur M. Faria, Ignacio F. Graña, Savvas Varsamopoulos·Mar 31, 2025
Quantum Graph Neural Networks (QGNNs) offer a promising approach to combining quantum computing with graph-structured data processing. While classical Graph Neural Networks (GNNs) are scalable and robust, existing QGNNs often lack flexibility due to ...
Coherent manipulation of interacting electron qubitson solid neon
Xinhao Li, Yizhong Huang, Xu Han +3 more·Mar 31, 2025
Electrons trapped on solid neon surfaces serve as low-noise charge qubits with long coherence times and high operational fidelities. Such charge qubits offer full electrical control and compact device footprints, convenient for scaling up with quantu...
QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery
James Holliday, Darren Blount, Hoang-Quan Nguyen +2 more·Mar 31, 2025
Quantum computing holds transformative potential for optimizing large-scale drone fleet operations, yet its nearterm limitations necessitate hybrid approaches blending classical and quantum techniques. This work introduces Quantum Unmanned Aerial Del...