Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Demonstration of hardware efficient photonic variational quantum algorithm
Iris Agresti, K. Paul, P. Schiansky +10 more·Aug 19, 2024
Quantum computing has changed the paradigm of computer science, where quantum technologies have promised to outperform classical ones. Such an advantage was only demonstrated for tasks with no application or out of reach for the state-of-the-art quan...
SoK Paper: Security Concerns in Quantum Machine Learning as a Service
Satwik Kundu, Swaroop Ghosh·Aug 18, 2024
Quantum machine learning (QML) is a category of algorithms that uses variational quantum circuits (VQCs) to solve machine learning tasks. Recent works have shown that QML models can effectively generalize from limited training data samples. This capa...
A Comprehensive Review of Quantum Circuit Optimization: Current Trends and Future Directions
Krishnageetha Karuppasamy, Varun Puram, Stevens Johnson +1 more·Aug 16, 2024
Optimizing quantum circuits is critical for enhancing computational speed and mitigating errors caused by quantum noise. Effective optimization must be achieved without compromising the correctness of the computations. This survey explores recent adv...
Accelerating Spectral Clustering on Quantum and Analog Platforms
Xingzi Xu, T. Sahai·Aug 16, 2024
We introduce a novel hybrid quantum–analog algorithm to perform a graph clustering that exploits connections between the evolution of dynamical systems on graphs and the underlying graph spectra. This approach constitutes a new class of algorithms th...
Quantum random power method for ground state computation
Taehee Ko, Hyowon Park, Sangkook Choi·Aug 16, 2024
We present a quantum-classical hybrid random power method that approximates a ground state of a Hamiltonian. The quantum part of our method computes a fixed number of elements of a Hamiltonian-matrix polynomial via quantum polynomial filtering techni...
Quantum-Classical Hybrid Algorithm for Solving the Learning-With-Errors Problem on NISQ Devices
Muxi Zheng, Jinfeng Zeng, Wentao Yang +7 more·Aug 15, 2024
The Learning-With-Errors (LWE) problem is a fundamental computational challenge with implications for post-quantum cryptography and computational learning theory. Here we propose a quantum-classical hybrid algorithm with Ising model to address LWE, t...
A Multilevel Approach for Solving Large-Scale QUBO Problems with Noisy Hybrid Quantum Approximate Optimization
Filip B. Maciejewski, Bao Gia Bach, Maxime Dupont +5 more·Aug 14, 2024
Quantum approximate optimization is one of the promising candidates for useful quantum computation, particularly in the context of finding approximate solutions to Quadratic Unconstrained Binary Optimization (QUBO) problems. However, the existing qua...
Hybrid entanglement and error correction in a scalable quantum network node
Xiu-Ying Chang, Pan-Yu Hou, Wen-Gang Zhang +7 more·Aug 14, 2024
Recent breakthroughs have ushered the quantum network into a new era, where quantum information can be stored, transferred, and processed across multiple nodes on a metropolitan scale. A key challenge in this new era is enhancing the capabilities of ...
A Quantum-Inspired Analysis of Human Disambiguation Processes
Daphne Wang·Aug 14, 2024
Formal languages are essential for computer programming and are constructed to be easily processed by computers. In contrast, natural languages are much more challenging and instigated the field of Natural Language Processing (NLP). One major obstacl...
Multi-Layered Security System: Integrating Quantum Key Distribution with Classical Cryptography to Enhance Steganographic Security
Arman Sykot, Md Shawmoon Azad, Wahida Rahman Tanha +3 more·Aug 13, 2024
In this paper, we present a novel cryptographic system that integrates Quantum Key Distribution (QKD) with classical encryption techniques to secure steganographic images. Our approach leverages the E91 QKD protocol to generate a shared secret key be...
Contextual Subspace Auxiliary-Field Quantum Monte Carlo: Improved Bias with Reduced Quantum Resources.
Matthew Kiser, Matthias Beuerle, F. Šimkovic·Aug 12, 2024
Using trial wave functions prepared on quantum devices to reduce the bias of auxiliary-field quantum Monte Carlo (QC-AFQMC) has established itself as a promising hybrid approach to the simulation of strongly correlated many body systems. Here, we fur...
Moderate exponential-time quantum dynamic programming across the subsets for scheduling problems
Camille Grange, Michael Poss, E. Bourreau +2 more·Aug 11, 2024
Grover Search is currently one of the main quantum algorithms leading to hybrid quantum-classical methods that reduce the worst-case time complexity for some combinatorial optimization problems. Specifically, the combination of Quantum Minimum Findin...
Hybrid Scheme of Post-Quantum Cryptography and Elliptic-Curve Cryptography for Certificates ─ A Case Study of Security Credential Management System in Vehicle-to-Everything Communications
Abel C. H. Chen, Bon-Yeh Lin·Aug 8, 2024
Due to the use of elliptic curve cryptography (ECC) for the current Security Credential Management System (SCMS) in the IEEE 1609.2.1 standard, the SCMS is vulnerable to attacks from quantum computing, as ECC could be cracked by quantum algorithms. H...
Explicit quantum surrogates for quantum kernel models
Akimoto Nakayama, Hayata Morisaki, Kosuke Mitarai +2 more·Aug 6, 2024
Quantum machine learning (QML) leverages quantum states for data encoding, with key approaches being explicit models that use parameterized quantum circuits and implicit models that use quantum kernels. Implicit models often have lower training error...
QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction
Siddhant Dutta, Nouhaila Innan, Alberto Marchisio +2 more·Aug 6, 2024
Financial market prediction and optimal trading strategy development remain challenging due to market complexity and volatility. Our research in quantum finance and reinforcement learning for decision-making demonstrates the approach of quantum-class...
High Purcell-enhancement in quantum-dot hybrid circular Bragg grating cavities for GHz-clockrate generation of indistinguishable photons
Lucas Rickert, Daniel A. Vajner, Martin von Helversen +8 more·Aug 5, 2024
We present Purcell-enhanced ($F_\mathrm{P}>25$) semiconductor InAs quantum dot decay times of $T_1<30\,$ps, enabled by deterministic hybrid circular Bragg gratings (hCBGs). We investigate the benefits of these short $T_1$ times on the two-photon indi...
Realizing a mechanical dynamical Casimir effect with a low-frequency oscillator
Tian Jiang, Jun Jing·Aug 5, 2024
We propose to realize a mechanical dynamical Casimir effect (MDCE) in a hybrid optomechanical system consisting of a cavity mode, a low-frequency mechanical oscillator, and a two-level atomic system. Described by the effective Hamiltonian, the mechan...
Quantum Transfer Learning for MNIST Classification Using a Hybrid Quantum-Classical Approach
Soumyadip Sarkar·Aug 5, 2024
We implement a hybrid quantum-classical model for image classification that compresses MNIST digit images into a low-dimensional feature space and then maps these features onto a 5-qubit quantum state. First, an autoencoder compresses each $28\times2...
Validation of an Analysability Model in Hybrid Quantum Software
Ana Díaz-Muñoz, J. A. Cruz-Lemus, Moisés Rodríguez +2 more·Aug 2, 2024
In the context of quantum-classical hybrid computing, evaluating analysability, which is the ease of understanding and modifying software, presents significant challenges due to the complexity and novelty of quantum algorithms. Although advances have...
Universal Euler-Cartan Circuits for Quantum Field Theories
Ananda Roy, Robert M. Konik, David Rogerson·Jul 31, 2024
Quantum computers can efficiently solve problems which are widely believed to lie beyond the reach of classical computers. In the near-term, hybrid quantum-classical algorithms, which efficiently embed quantum hardware in classical frameworks, are cr...