Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
A Grover Search-Based Algorithm for the List Coloring Problem
S. Mukherjee·Aug 20, 2021
Graph coloring is a computationally difficult problem, and currently the best known classical algorithm for <inline-formula><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-coloring of graphs on <inline-formula><tex-math notation="LaTeX">$n...
Comparing concepts of quantum and classical neural network models for image classification task
R. Potempa, Sebastian Porębski·Aug 18, 2021
While quantum architectures are still under development, when available, they will only be able to process quantum data when machine learning algorithms can only process numerical data. Therefore, in the issues of classification or regression, it is ...
A comparative study of universal quantum computing models: towards a physical unification
Dong-Sheng Wang·Aug 17, 2021
Quantum computing has been a fascinating research field in quantum physics. Recent progresses motivate us to study in depth the universal quantum computing models (UQCM), which lie at the foundation of quantum computing and have tight connections wit...
Parameters Fixing Strategy for Quantum Approximate Optimization Algorithm
Xinwei Lee, Yoshiyuki Saito, DongSheng Cai +1 more·Aug 11, 2021
The quantum approximate optimization algorithm (QAOA) has numerous promising applications in solving the combinatorial optimization problems on near-term Noisy Intermediate Scalable Quantum (NISQ) devices. QAOA has a quantum-classical hybrid structur...
Quantum reinforcement learning: the maze problem
Nicola Dalla Pozza, L. Buffoni, Stefano Martina +1 more·Aug 10, 2021
Quantum machine learning (QML) is a young but rapidly growing field where quantum information meets machine learning. Here, we will introduce a new QML model generalising the classical concept of reinforcement learning to the quantum domain, i.e. qua...
Decodable hybrid dynamics of open quantum systems with <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi mathvariant="double-struck">Z</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math> symmetry
Yaodong Li, Matthew Fisher·Aug 9, 2021
We explore a class of"open"quantum circuit models with local decoherence ("noise") and local projective measurements, each respecting a global Z_2 symmetry. The model supports a spin glass phase where the Z_2 symmetry is spontaneously broken (not pos...
Shuttle-Exploiting Attacks and Their Defenses in Trapped-Ion Quantum Computers
A. Saki, R. Topaloglu, Swaroop Ghosh·Aug 2, 2021
Trapped-ion (TI) quantum bits are a front-runner technology for quantum computing. TI systems with multiple interconnected traps can overcome the hardware connectivity issue inherent in superconducting qubits and can solve practical problems at scale...
Hybrid Quantum-Classical Neural Network for Incident Detection
Zadid Khan, S. Khan, J. Tine +7 more·Aug 2, 2021
The effectiveness and dependability of real-time incident detection models directly impact the safety and operational conditions of the affected traffic routes. Recent advancements in cloud-based quantum computing infrastructure and developments in n...
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack
Reek Majumder, S. Khan, Fahim Ahmed +6 more·Aug 2, 2021
Image classification must work for autonomous vehicles (AV) operating on public roads, and actions performed based on image misclassification can have serious consequences. Traffic sign images can be misclassified by an adversarial attack on machine ...
Performance analysis of a hybrid agent for quantum-accessible reinforcement learning
A. Hamann, S. Wölk·Jul 29, 2021
In the last decade quantum machine learning has provided fascinating and fundamental improvements to supervised, unsupervised and reinforcement learning (RL). In RL, a so-called agent is challenged to solve a task given by some environment. The agent...
Feature Selection for Recommender Systems with Quantum Computing
Riccardo Nembrini, Maurizio Ferrari Dacrema, P. Cremonesi·Jul 28, 2021
The promise of quantum computing to open new unexplored possibilities in several scientific fields has been long discussed, but until recently the lack of a functional quantum computer has confined this discussion mostly to theoretical algorithmic pa...
Strong Coupling Optomechanics Mediated by a Qubit in the Dispersive Regime
Ahmad Shafiei Aporvari, D. Vitali·Jul 27, 2021
Cavity optomechanics represents a flexible platform for the implementation of quantum technologies, useful in particular for the realization of quantum interfaces, quantum sensors and quantum information processing. However, the dispersive, radiation...
Clustering and enhanced classification using a hybrid quantum autoencoder
Maiyuren Srikumar, C. Hill, L. Hollenberg·Jul 26, 2021
Quantum machine learning (QML) is a rapidly growing area of research at the intersection of classical machine learning and quantum information theory. One area of considerable interest is the use of QML to learn information contained within quantum s...
RGB image classification with quantum convolutional ansatz
Yu Jing, Yang Yang, Chonghang Wu +4 more·Jul 23, 2021
With the rapid growth of qubit numbers and coherence times in quantum hardware technology, implementing shallow neural networks on the so-called Noisy Intermediate-Scale Quantum (NISQ) devices has attracted a lot of interest. Many quantum (convolutio...
Multiple Query Optimization using a Hybrid Approach of Classical and Quantum Computing
Tobias Fankhauser, M. Soler, R. M. Fuchslin +1 more·Jul 22, 2021
Quantum computing promises to solve difficult optimization problems in chemistry, physics and mathematics more efficiently than classical computers, but requires fault-tolerant quantum computers with millions of qubits. To overcome errors introduced ...
Variational quantum linear solver with a dynamic ansatz
Hrushikesh Pramod Patil, Yulun Wang, P. Krstic·Jul 19, 2021
Variational quantum algorithms have found success in the NISQ era owing to their hybrid quantum-classical approach which mitigate the problems of noise in quantum computers. In our study we introduce the dynamic ansatz in the Variational Quantum Line...
Quantum Noise Sensing by Generating Fake Noise
Paolo Braccia, L. Banchi, F. Caruso·Jul 19, 2021
Noisy-Intermediate-Scale-Quantum (NISQ) devices are nowadays starting to become available to the final user, hence potentially allowing to show the quantum speedups predicted by the quantum information theory. However, before implementing any quantum...
Best Subset Selection: Statistical Computing Meets Quantum Computing.
Wenxuan Zhong, Y. Ke, Ye Wang +3 more·Jul 18, 2021
With the rapid development of quantum computers, quantum algorithms have been studied extensively. However, quantum algorithms tackling statistical problems are still lacking. In this paper, we propose a novel non-oracular quantum adaptive search (QA...
Nonnormal Hamiltonian dynamics in quantum systems and its realization on quantum computers
N. Okuma, Yuya O. Nakagawa·Jul 18, 2021
The eigenspectrum of a non-normal matrix, which does not commute with its Hermitian conjugate, is a central issue of non-Hermitian physics that has been extensively studied in the past few years. There is, however, another characteristic of a non-nor...
Advancing hybrid quantum-classical algorithms via mean operators
Donggyu Kim, Pureum Noh, Hyun-yong Lee +1 more·Jul 15, 2021
Entanglement in quantum many-body systems is the key concept for future technology and science, opening up a possibility to explore uncharted realms in an enormously large Hilbert space. The hybrid quantum-classical algorithms have been suggested to ...