Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Hardness-dependent quantum adiabatic schedules for the maximum-independent-set problem
S'ebastien Perseguers·Oct 11, 2024
We propose a numerical approach to design highly efficient adiabatic schedules for analog quantum computing, focusing on the maximum-independent-set problem and neutral atom platforms. On the basis of a representative dataset of small graphs, we pres...
D-Wave’s Nonlinear-Program Hybrid Solver: Description and Performance Analysis
E. Osaba, Pablo Miranda-Rodríguez·Oct 10, 2024
The development of advanced quantum-classical algorithms is among the most prominent strategies in quantum computing. Numerous hybrid solvers have been introduced recently. Many of these methods are created ad hoc to address specific use cases. Howev...
Non-binary artificial neuron with phase variation implemented on a quantum computer
Jhordan Silveira de Borba, Jonas Maziero·Oct 10, 2024
The first artificial quantum neuron models followed a similar path to classic models and they work only with discrete values. Here we introduce an algorithm that generalizes the binary model manipulating the phase of complex numbers. We propose, test...
Modularity Maximization and Community Detection in Complex Networks Through Recursive and Hierarchical Annealing in the DWAVE Advantage Quantum Processing Units
Joan Falc'o-Roget, Kacper Jurek, Barbara Wojtarowicz +2 more·Oct 10, 2024
Quantum adiabatic optimization has long been expected to outperform classical methods in solving NP-type problems. While this has been proven in certain experiments, its main applications still reside in academic problems where the size of the system...
Toward hybrid quantum simulations with qubits and qumodes on trapped-ion platforms
Jack Y. Araz, Matt Grau, Jake Montgomery +1 more·Oct 9, 2024
We explore the feasibility of gate-based hybrid quantum computing using both discrete (qubit) and continuous (qumode) variables on trapped-ion platforms. Trapped-ion systems have demonstrated record one- and two-qubit gate fidelities and long qubit c...
A practical applicable quantum–classical hybrid ant colony algorithm for the NISQ era
Qian Qiu, Liang Zhang, Mohan Wu +4 more·Oct 8, 2024
Quantum ant colony optimization (QACO) has drew much attention since it combines the advantages of quantum computing and ant colony optimization (ACO) algorithm overcoming some limitations of the traditional ACO algorithm. However, due to the hardwar...
Optimised Hybrid Classical-Quantum Algorithm for Accelerated Solution of Sparse Linear Systems
H. Singh·Oct 3, 2024
Efficiently solving large-scale sparse linear systems poses a significant challenge in computational science, especially in fields such as physics, engineering, machine learning, and finance. Traditional classical algorithms face scalability issues a...
Variational quantum eigensolver approach to prime factorization on IBM's noisy intermediate scale quantum computer
Mona Sobhani, Yahui Chai, T. Hartung +1 more·Oct 2, 2024
This paper presents a hybrid quantum-classical approach to prime factorization. The proposed algorithm is based on the variational quantum eigensolver (VQE), which employs a classical optimizer to find the ground state of a given Hamiltonian. A numer...
Edge Intelligence in Satellite-Terrestrial Networks With Hybrid Quantum Computing
Siyue Huang, Lifeng Wang, Xin Wang +3 more·Sep 30, 2024
This letter exploits the potential of edge intelligence empowered satellite-terrestrial networks, where users’ computation tasks are offloaded to the satellites or terrestrial base stations. The computation task offloading in such networks involves t...
Creating Automated Quantum-Assisted Solutions for Optimization Problems
Benedikt Poggel, Xiomara Runge, Adelina Barligea +1 more·Sep 30, 2024
When trying to use quantum-enhanced methods for optimization problems, the sheer number of options inhibits its adoption by industrial end users. Expert knowledge is required for the formulation and encoding of the use case, the selection and adaptat...
Buried Dirac points in quantum spin Hall insulators: Implications for Majorana Kramers pair-based quantum computing
J. Cuozzo, Wenlong Yu, Xiaoyan Shi +5 more·Sep 27, 2024
For heterostructures formed by a quantum spin Hall insulator (QSHI) placed in proximity to a superconductor (SC), no external magnetic field is necessary to drive the system into a phase supporting topological superconductivity with Majorana zero ene...
Curve-Fitted QPE: Extending Quantum Phase Estimation Results for a Higher Precision using Classical Post-Processing
S. M. Lim, C. E. Susa, R. Cohen·Sep 24, 2024
Quantum Phase Estimation is a crucial component of several front-running quantum algorithms. Improving the efficiency and accuracy of QPE is currently a very active field of research. In this work, we present a hybrid quantum-classical approach that ...
A hybrid quantum neural network for split learning
Hevish Cowlessur, Chandra Thapa, Tansu Alpcan +1 more·Sep 24, 2024
Quantum machine learning (QML) is an emerging field of research with potential applications to distributed collaborative learning, such as split learning (SL). SL allows resource-constrained clients to collaboratively train ML models with a server, r...
QHyper: an integration library for hybrid quantum-classical optimization
Tomasz Lam.za, Justyna Zawalska, Kacper Jurek +2 more·Sep 24, 2024
We propose the QHyper library, which is aimed at researchers working on computational experiments with a variety of quantum combinatorial optimization solvers. The library offers a simple and extensible interface for formulating combinatorial optimiz...
A coherent approach to quantum-classical optimization
Andrés N. Cáliz, Jordi Riu, Josep Bosch +3 more·Sep 20, 2024
Hybrid quantum-classical optimization techniques, which incorporate the pre-optimization of Variational Quantum Algorithms using Tensor Networks, have been shown to allow for the reduction of quantum computational resources. In the particular case of...
Quantum-Assisted Joint Virtual Network Function Deployment and Maximum Flow Routing for Space Information Networks
Yu Zhang, Yanmin Gong, Lei Fan +3 more·Sep 20, 2024
Network function virtualization (NFV)-enabled space information network (SIN) has emerged as a promising method to facilitate global coverage and seamless service. This paper proposes a novel NFV-enabled SIN to provide end-to-end communication and co...
Ultracompact Programmable Silicon Photonics Using Layers of Low-Loss Phase-Change Material Sb2Se3 of Increasing Thickness
Sophie Blundell, Tom Radford, Idris A. Ajia +6 more·Sep 19, 2024
High-performance programmable silicon photonic circuits are considered to be a critical part of next-generation architectures for optical processing, photonic quantum circuits, and neural networks. Low-loss optical phase-change materials (PCMs) offer...
Early Detection of Coronary Heart Disease Using Hybrid Quantum Machine Learning Approach
Mehroush Banday, Sherin Zafar, Parul Agarwal +2 more·Sep 17, 2024
Coronary heart disease (CHD) is a severe cardiac disease, and hence, its early diagnosis is essential as it improves treatment results and saves money on medical care. The prevailing development of quantum computing and machine learning (ML) technolo...
Ion-mediated interaction and controlled-phase-gate operation between two atomic qubits
Subhra Mudli, S. Mal, Sinchan Snigdha Rej +2 more·Sep 16, 2024
We propose a toy model of ion-atom hybrid quantum system for quantum computing. We show that when two atomic qubits in two largely separated optical tweezers interact with a single trapped ion through Rydberg excitation of the atoms, there exists an ...
A Fiber-pigtailed Quantum Dot Device Generating Indistinguishable Photons at GHz Clock-rates
Lucas Rickert, Kinga Żołnacz, Daniel A. Vajner +11 more·Sep 13, 2024
Solid-state quantum light sources based on semiconductor quantum dots (QDs) are increasingly employed in photonic quantum information applications. Especially when moving towards real-world scenarios outside shielded lab environments, the efficient a...