Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks
Tasnim Ahmed, Alberto Marchisio, Muhammad Kashif +1 more·May 6, 2025
Hybrid Quantum Neural Networks (HQNNs) offer promising potential of quantum computing while retaining the flexibility of classical deep learning. However, the limitations of Noisy Intermediate-Scale Quantum (NISQ) devices introduce significant challe...
Packaged Quantum States for Gauge-Invariant Quantum Computation and Communication
Rongchao Ma·May 4, 2025
Packaged quantum states are gauge-invariant states in which all internal quantum numbers (IQNs) form an inseparable block. This feature gives rise to novel packaged entanglements that encompass all IQNs, which is important both for fundamental physic...
Distributed Quantum Circuit Cutting for Hybrid Quantum-Classical High-Performance Computing
Mar Tejedor, Berta Casas, Javier Conejero +2 more·May 2, 2025
Most quantum computers today are constrained by hardware limitations, particularly the number of available qubits, causing significant challenges for executing large-scale quantum algorithms. Circuit cutting has emerged as a key technique to overcome...
Divide-and-Conquer Simulation of Open Quantum Systems
Thiago Melo D. Azevedo, C. Almeida, Pedro Linck +2 more·May 2, 2025
One of the promises of quantum computing is to simulate physical systems efficiently. However, the simulation of open quantum systems - where interactions with the environment play a crucial role - remains challenging for quantum computing, as it is ...
Exploring the application of quantum technologies to industrial and real-world use cases
E. Osaba, Esther Villar-Rodriguez, I. Oregi·May 1, 2025
Recent advancements in quantum computing are leading to an era of practical utility, enabling the tackling of increasingly complex problems. The goal of this era is to leverage quantum computing to solve real-world problems in fields such as machine ...
Erasure Minesweeper: Exploring Hybrid-Erasure Surface Code Architectures for Efficient Quantum Error Correction
Jason Chadwick, Mariesa Teo, Joshua Viszlai +2 more·Apr 30, 2025
Dual-rail erasure qubits can substantially improve the efficiency of quantum error correction, allowing lower error rates to be achieved with fewer qubits, but each erasure qubit requires $3 \times$ more transmons to implement compared to standard qu...
Hybrid quantum recurrent neural network for remaining useful life prediction
Olga Tsurkan, Aleksandra Konstantinova, Aleksandr Sedykh +5 more·Apr 29, 2025
Predictive maintenance in aerospace heavily relies on accurate estimation of the remaining useful life of jet engines. In this paper, we introduce a Hybrid Quantum Recurrent Neural Network framework, combining Quantum Long Short-Term Memory layers wi...
Towards Non-Abelian Quantum Signal Processing: Efficient Control of Hybrid Continuous- and Discrete-Variable Architectures
Shraddha Singh, Baptiste Royer, Steven M. Girvin·Apr 28, 2025
Robust quantum control is crucial for achieving operations below the quantum error correction threshold. Quantum Signal Processing (QSP) transforms a unitary parameterized by $θ$ into one governed by a polynomial function $f(θ)$, a feature that under...
Efficient quantum state preparation through seniority driven operator selection.
Dipa Halder, D. Mondal, Rahul Maitra·Apr 28, 2025
Quantum algorithms require accurate representations of electronic states on a quantum device, yet the approximation of electronic wavefunctions for strongly correlated systems remains a profound theoretical challenge, with existing methods struggling...
Quantum Circuit Construction and Optimization through Hybrid Evolutionary Algorithms
Leo Sünkel, Philipp Altmann, Michael Kölle +3 more·Apr 24, 2025
We apply a hybrid evolutionary algorithm to minimize the depth of circuits in quantum computing. More specifically, we evaluate two different variants of the algorithm. In the first approach, we combine the evolutionary algorithm with an optimization...
Flexion: Adaptive In-Situ Encoding for On-Demand QEC in Ion Trap Systems
Keyi Yin, Xiang Fang, Zhuo Chen +10 more·Apr 22, 2025
Recent advances in quantum hardware and quantum error correction (QEC) have set the stage for early demonstrations of fault-tolerant quantum computing (FTQC). A key near-term goal is to build a system capable of executing millions of logical operatio...
Clifford and Non-Clifford Splitting in Quantum Circuits: Applications and ZX-Calculus Detection Procedure
Fernando Lima, Arcesio Castaneda Medina·Apr 22, 2025
Classical simulation of quantum circuits is a pivotal part of the quantum computing landscape, specially within the NISQ era, where the constraints imposed by available hardware are unavoidable. The Gottesman-Knill theorem further motivates this argu...
Quantum-Enhanced Weight Optimization for Neural Networks Using Grover's Algorithm
Stefan-Alexandru Jura, Mihai Udrescu·Apr 20, 2025
The main approach to hybrid quantum-classical neural networks (QNN) is employing quantum computing to build a neural network (NN) that has quantum features, which is then optimized classically. Here, we propose a different strategy: to use quantum co...
Quantum-Enhanced Reinforcement Learning for Power Grid Security Assessment
Benjamin M. Peter, M. Korkali·Apr 19, 2025
The increasingly challenging task of maintaining power grid security requires innovative solutions. Novel approaches using reinforcement learning (RL) agents have been proposed to help grid operators navigate the massive decision space and nonlinear ...
Practical Application of the Quantum Carleman Lattice Boltzmann Method in Industrial CFD Simulations
Francesco Turro, Alessandra Lignarolo, Daniele Dragoni·Apr 17, 2025
Computational Fluid Dynamics simulations are crucial in industrial applications but require extensive computational resources, particularly for extreme turbulent regimes. While classical digital approaches remain the standard, quantum computing promi...
Dead Gate Elimination
Yanbin Chen, C. Mendl, Helmut Seidl·Apr 17, 2025
Hybrid quantum algorithms combine the strengths of quantum and classical computing. Many quantum algorithms, such as the variational quantum eigensolver (VQE), leverage this synergy. However, quantum circuits are executed in full, even when only subs...
Predictive control of blast furnace temperature in steelmaking with hybrid depth-infused quantum neural networks
Nayoung Lee, Minsoo Shin, Asel Sagingalieva +5 more·Apr 16, 2025
Accurate prediction and stabilization of blast furnace temperatures are crucial for optimizing the efficiency and productivity of steel production. Traditional methods often struggle with the complex and non-linear nature of the temperature fluctuati...
Hardware Co-Designed Optimal Control for Programmable Atomic Quantum Processors via Reinforcement Learning
Qian Ding, Dirk Englund·Apr 16, 2025
Developing scalable, fault-tolerant atomic quantum processors requires precise control over large arrays of optical beams. This remains a major challenge due to inherent imperfections in classical control hardware, such as inter-channel crosstalk and...
Network-Integrated Decoding System for Real-Time Quantum Error Correction with Lattice Surgery
Namitha Liyanage, Yue Wu, Emmet Houghton +1 more·Apr 16, 2025
Existing real-time decoders for surface codes are limited to isolated logical qubits and do not support logical operations involving multiple logical qubits. We present Deconet, a first-of-its-kind decoding system that scales to thousands of logical ...
Constant-time hybrid compilation of Shor's algorithm with quantum just-in-time compilation
David Ittah, J. Fraser, Josh Izaac +1 more·Apr 16, 2025
Continuous improvements in quantum computing hardware are exposing the need for simultaneous advances in software. Large-scale implementation of quantum algorithms requires rapid and automated compilation routines such as circuit synthesis and optimi...