Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Magic State Injection with Erasure Qubits
Shoham Jacoby, Yotam Vaknin, A. Retzker +1 more·Apr 3, 2025
Erasure qubits constitute a promising approach for tackling the daunting resources required for fault-tolerant quantum computing. By heralding erasure errors, both the error-correction threshold and the sub-threshold scaling of the logical error rate...
Simulation of Atomic Layer Deposition with a Quantum Computer
Evgeny Plekhanov, Georgia Prokopiou, Michal Krompiec +4 more·Apr 3, 2025
In this work, we present the study of an atomic layer deposition (ALD) of zirconium by means of a quantum computation on an emulator representing the features of an architecture based on qubits implemented on carbon nanotubes. ALD process control is ...
An Overview of Josephson Junctions Based QPUs
Omid Mohebi, Alireza Mohseni·Apr 3, 2025
Quantum processing units (QPUs) based on superconducting Josephson junctions promise significant advances in quantum computing. However, they face critical challenges. Decoherence, scalability limitations, and error correction overhead hinder practic...
Fermionic Averaged Circuit Eigenvalue Sampling
Adrian Chapman, Steven T. Flammia·Apr 2, 2025
Fermionic averaged circuit eigenvalue sampling (FACES) is a protocol to simultaneously learn the averaged error rates of many fermionic linear optical (FLO) gates simultaneously and self-consistently from a suitable collection of FLO circuits. It is ...
Sub-second spin and lifetime-limited optical coherences in 171Yb3+:CaWO4.
A. Tiranov, E. Green, Sophie Hermans +8 more·Apr 2, 2025
Optically addressable solid-state spins have been extensively studied for quantum technologies, offering unique advantages for quantum computing, communication, and sensing. Advancing these applications is generally limited by finding materials that ...
Bubble Clustering Decoder for Quantum Topological Codes
Diego Forlivesi, L. Valentini, M. Chiani·Apr 2, 2025
Quantum computers are highly vulnerable to noise, necessitating the use of error-correcting codes to protect stored data. Errors must be continuously corrected over time to counteract decoherence using appropriate decoders. Therefore, fast decoding s...
Output Prediction of Quantum Circuits based on Graph Neural Networks
Yuxiang Liu, Fanxu Meng, Lu Wang +3 more·Apr 1, 2025
The output prediction of quantum circuits is a formidably challenging task imperative in developing quantum devices. Motivated by the natural graph representation of quantum circuits, this paper proposes a Graph Neural Networks (GNNs)-based framework...
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...
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 ...
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...
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...
Performance Evaluation of Variational Quantum Eigensolver and Quantum Dynamics Algorithms on the Advection-Diffusion Equation
A. Ozguler·Mar 31, 2025
We investigate the potential of near-term quantum algorithms for solving partial differential equations (PDEs), focusing on a linear one-dimensional advection-diffusion equation as a test case. This study benchmarks a ground-state algorithm, Variatio...
Impact of amplitude and phase damping noise on quantum reinforcement learning: challenges and opportunities
M. L. Olivera-Atencio, Lucas Lamata, J. Casado-Pascual·Mar 31, 2025
Quantum machine learning (QML) is an emerging field with significant potential, yet it remains highly susceptible to noise, which poses a major challenge to its practical implementation. While various noise mitigation strategies have been proposed ...
On Speedups for Convex Optimization via Quantum Dynamics
Shouvanik Chakrabarti, Dylan Herman, Jacob Watkins +4 more·Mar 31, 2025
We explore the potential for quantum speedups in convex optimization using discrete simulations of the Quantum Hamiltonian Descent (QHD) framework, as proposed by Leng et al., and establish the first rigorous query complexity bounds. We develop enhan...
Quantum algorithms for cooling: A simple case study
Daniel Molpeceres, Sirui Lu, J. I. Cirac +1 more·Mar 31, 2025
Preparation of low-energy quantum many-body states has a wide range of applications in quantum information processing and condensed matter physics. Quantum cooling algorithms offer a promising alternative to other methods based, for instance, on vari...
Enhanced Variational Quantum Kolmogorov-Arnold Network
Hikaru Wakaura, Rahmat Mulyawan, Andriyan B. Suksmono·Mar 28, 2025
The Kolmogorov-Arnold Network (KAN) is a novel multi-layer network model recognized for its efficiency in neuromorphic computing, where synapses between neurons are trained linearly. Computations in KAN are performed by generating a polynomial vector...
Avoiding Convergence Stagnation in a Quantum Circuit Evolutionary Framework Through an Adaptive Cost Function
B. Fernandez, R. Bloot, Marcelo A. Moret·Mar 28, 2025
Binary optimization problems are emerging as potential candidates for useful applications of quantum computing. Among quantum algorithms, the quantum approximate optimization algorithm (QAOA) is currently considered the most promising method to obtai...
Order-of-magnitude extension of qubit lifetimes with a decoherence-free subspace quantum error correction code
S. Dasu, B. Criger, C. Foltz +9 more·Mar 28, 2025
Constructing an efficient and robust quantum memory is central to the challenge of engineering feasible quantum computer architectures. Quantum error correction codes can solve this problem in theory, but without careful design it can introduce daunt...
Enhancing Accuracy of Quantum-Selected Configuration Interaction Calculations Using Multireference Perturbation Theory: Application to Aromatic Molecules
Soichi Shirai, Shih-Yen Tseng, Hokuto Iwakiri +3 more·Mar 28, 2025
Quantum-selected configuration interaction (QSCI) is a novel quantum-classical hybrid algorithm for quantum chemistry calculations. This method identifies electron configurations having large weights for the target state using quantum devices and all...
Quantum Doeblin Coefficients: Interpretations and Applications
Ian George, Christoph Hirche, Theshani Nuradha +1 more·Mar 28, 2025
In classical information theory, the Doeblin coefficient of a classical channel provides an efficiently computable upper bound on the total-variation contraction coefficient of the channel, leading to what is known as a strong data-processing inequal...