Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
27,749
This Month
1,196
Today
0
Research Volume
13,047 papers in 12 months (-2% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Efficient Parameterised Compilation for Hybrid Quantum Programming
Anna M. Krol, Koen J. Mesman, A. Sarkar +1 more·Aug 16, 2022
Near term quantum devices have the potential to outperform classical computing through the use of hybrid classical-quantum algorithms such as Variational Quantum Eigensolvers. These iterative algorithms use a classical optimiser to update a parameter...
Towards the simulation of transition-metal oxides of the cathode battery materials using VQE methods
M. Farag, J. Ghosh·Aug 16, 2022
Variational quantum eigensolver (VQE) is a hybrid quantum-classical technique that leverages noisy intermediate scale quantum (NISQ) hardware to obtain the minimum eigenvalue of a model Hamiltonian. VQE has so far been used to simulate condensed matt...
Mixed Quantum–Classical Method for Fraud Detection With Quantum Feature Selection
M. Grossi, Noelle Ibrahim, V. Radescu +4 more·Aug 16, 2022
This article presents a first end-to-end application of a quantum support vector machine (QSVM) algorithm for a classification problem in the financial payment industry using the IBM Safer Payments and IBM Quantum Computers via the Qiskit software st...
Multidisk Clutch Optimization Using Quantum Annealing
J. Malcolm, Alexander Roth, Mladjan Radic +5 more·Aug 11, 2022
In this article, we apply a quantum optimization algorithm to solve a combinatorial problem with significant practical relevance occurring in clutch manufacturing. It is demonstrated how quantum optimization can play a role in real industrial applica...
An Example of Use of Variational Methods in Quantum Machine Learning
Marco Simonetti, Damiano Perri, O. Gervasi·Aug 7, 2022
This paper introduces a deep learning system based on a quantum neural network for the binary classification of points of a specific geometric pattern (Two-Moons Classification problem) on a plane. We believe that the use of hybrid deep learning syst...
Hybrid Gate-Based and Annealing Quantum Computing for Large-Size Ising Problems
Chen-Yu Liu, H. Goan·Aug 5, 2022
One of the major problems of most quantum computing applications is that the required number of qubits to solve a practical problem is much larger than that of today’s quantum hardware. Therefore, finding a way to make the best of today’s quantum hard...
Active learning on a programmable photonic quantum processor
Chen Ding, Xiao-Yue Xu, Yun-Fei Niu +3 more·Aug 3, 2022
Training a quantum machine learning model generally requires a large labeled dataset, which incurs high labeling and computational costs. To reduce such costs, a selective training strategy, called active learning (AL), chooses only a subset of the o...
Application of a variational hybrid quantum-classical algorithm to heat conduction equation and analysis of time complexity
Yangyang Liu, Zhen Chen, Chi-Wang Shu +2 more·Jul 29, 2022
The prosperous development of both hardware and algorithms for quantum computing (QC) potentially prompts a paradigm shift in scientific computing in various fields. As an increasingly active topic in QC, the variational quantum algorithm (VQA) leads...
Experimental Simulation of Larger Quantum Circuits with Fewer Superconducting Qubits.
C. Ying, Bin Cheng, You-Wei Zhao +14 more·Jul 28, 2022
Although near-term quantum computing devices are still limited by the quantity and quality of qubits in the so-called NISQ era, quantum computational advantage has been experimentally demonstrated. Moreover, hybrid architectures of quantum and classi...
A Copositive Framework for Analysis of Hybrid Ising-Classical Algorithms
Robin Brown, D. E. B. Neira, D. Venturelli +1 more·Jul 27, 2022
Recent years have seen significant advances in quantum/quantum-inspired technologies capable of approximately searching for the ground state of Ising spin Hamiltonians. The promise of leveraging such technologies to accelerate the solution of difficu...
Digital-Analog Co-Design of the Harrow-Hassidim-Lloyd Algorithm
Ana Martin, Rubén Ibarrondo, M. Sanz·Jul 27, 2022
The Harrow-Hassidim-Lloyd quantum algorithm was proposed to solve linear systems of equations $A\vec{x} = \vec{b}$ and it is the core of various applications. However, there is not an explicit quantum circuit for the subroutine which maps the inverse...
Well-conditioned multi-product formulas for hardware-friendly Hamiltonian simulation
Almudena Carrera Vazquez, D. Egger, David Ochsner +1 more·Jul 22, 2022
Simulating the time-evolution of a Hamiltonian is one of the most promising applications of quantum computers. Multi-Product Formulas (MPFs) are well suited to replace standard product formulas since they scale better with respect to time and approxi...
Reminiscence of Classical Chaos in Driven Transmons
Joachim Cohen, A. Petrescu, R. Shillito +1 more·Jul 19, 2022
Transmon qubits are ubiquitously used in superconducting quantum information processor architectures. Strong drives are required to realize fast, high-fidelity, gates and measurements, including parametrically activated processes. Here, we show that ...
Levy-Lieb embedding of density-functional theory and its quantum kernel: Illustration for the Hubbard dimer using near-term quantum algorithms
C. D. Pemmaraju, Amol Deshmukh·Jul 19, 2022
The constrained-search formulation of Levy and Lieb provides a concrete mapping from N representable densities to the space of N -particle wavefunctions and explicitly defines the universal functional of density functional theory. We numerically imple...
Comparative Benchmark of a Quantum Algorithm for the Bin Packing Problem
Mikel Garcia de Andoin, I. Oregi, Esther Villar-Rodriguez +2 more·Jul 15, 2022
The Bin Packing Problem (BPP) stands out as a paradigmatic combinatorial optimization problem in logistics. Quantum and hybrid quantum-classical algorithms are expected to show an advantage over their classical counterparts in obtaining approximate s...
Distributed Shor's algorithm
Li Xiao, Daowen Qiu, Leon Luo +1 more·Jul 13, 2022
Shor's algorithm is one of the most important quantum algorithm proposed by Peter Shor [Proceedings of the 35th Annual Symposium on Foundations of Computer Science, 1994, pp. 124--134]. Shor's algorithm can factor a large integer with certain probabi...
Quantum Data Reduction with Application to Video Classification
Kostas Blekos, D. Kosmopoulos·Jul 13, 2022
We investigate a quantum data reduction technique with application to video classification. A hybrid quantum-classical step performs data reduction on the video dataset generating “representative” distributions for each video class. These distributio...
Multi-Objective Evolutionary Architecture Search for Parameterized Quantum Circuits
Lidong Ding, L. Spector·Jul 9, 2022
Recent advancements in quantum computing have shown promising computational advantages in many problem areas. As one of those areas with increasing attention, hybrid quantum-classical machine learning systems have demonstrated the capability to solve...
Hybrid quantum-classical algorithms in the noisy intermediate-scale quantum era and beyond
A. Callison, N. Chancellor·Jul 8, 2022
Hybrid quantum-classical algorithms are central to much of the current research in quantum computing, particularly when considering the noisy intermediate-scale quantum (NISQ) era, with a number of experimental demonstrations having already been perf...
Unitary partitioning and the contextual subspace variational quantum eigensolver
Alexis Ralli, Tim Weaving, A. Tranter +3 more·Jul 7, 2022
The contextual subspace variational quantum eigensolver (CS-VQE) is a hybrid quantum-classical algorithm that approximates the ground-state energy of a given qubit Hamiltonian. It achieves this by separating the Hamiltonian into contextual and noncon...