Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Practical application-specific advantage through hybrid quantum computing
M. Perelshtein, A. Sagingalieva, Karan Pinto +7 more·May 10, 2022
Quantum computing promises to tackle technological and industrial problems insurmountable for classical computers. However, today's quantum computers still have limited demonstrable functionality, and it is expected that scaling up to millions of qub...
Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers
Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini +3 more·May 9, 2022
Feature selection is a common step in many ranking, classification, or prediction tasks and serves many purposes. By removing redundant or noisy features, the accuracy of ranking or classification can be improved and the computational cost of the sub...
On recovering block cipher secret keys in the cold boot attack setting
Gustavo Banegas, Ricardo Villanueva-Polanco·May 9, 2022
This paper presents a general strategy to recover a block cipher secret key in the cold boot attack setting. More precisely, we propose a key-recovery method that combines key enumeration algorithms and Grover’s quantum algorithm to recover a block c...
Supply chain logistics with quantum and classical annealing algorithms
Sean J. Weinberg, F. Sanches, T. Ide +2 more·May 9, 2022
Noisy intermediate-scale quantum (NISQ) hardware is almost universally incompatible with full-scale optimization problems of practical importance which can have many variables and unwieldy objective functions. As a consequence, there is a growing bod...
Analysis of Multiple Overlapping Paths algorithms for Secure Key Exchange in Large-Scale Quantum Networks
M. Stepniak, J. Mielczarek·May 6, 2022
Quantum networks open the way to an unprecedented level of communication security. However, due to physical limitations on the distances of quantum links, current implementations of quantum networks are unavoidably equipped with trusted nodes. As a c...
Quantum annealing for jet clustering with thrust
Andrea Delgado, J. Thaler·May 5, 2022
Quantum computing holds the promise of substantially speeding up computationally expensive tasks, such as solving optimization problems over a large number of elements. In high-energy collider physics, quantum-assisted algorithms might accelerate the...
Variational Quantum Optimization of Nonlocality in Noisy Quantum Networks
Brian Doolittle, T. Bromley, N. Killoran +1 more·May 5, 2022
The noise and complexity inherent to quantum communication networks leads to technical challenges in designing quantum network protocols using classical methods. We address this issue with a hybrid variational quantum optimization (VQO) framework tha...
Improved Algorithms of Quantum Imaginary Time Evolution for Ground and Excited States of Molecular Systems.
T. Tsuchimochi, Yoohee Ryo, S. Ten-no +1 more·May 4, 2022
Quantum imaginary time evolution (QITE) is a recently proposed quantum-classical hybrid algorithm that is guaranteed to reach the lowest state of systems. In this study, we present several improvements on QITE, mainly focusing on molecular applicatio...
qLEET: visualizing loss landscapes, expressibility, entangling power and training trajectories for parameterized quantum circuits
Utkarsh Azad, Animesh Sinha·May 4, 2022
We present qLEET, an open-source Python package for studying parameterized quantum circuits (PQCs), which are widely used in various variational quantum algorithms (VQAs) and quantum machine learning (QML) algorithms. qLEET enables computation of pro...
A Hybrid Classical-Quantum framework for solving Free Boundary Value Problems and Applications in Modeling Electric Contact Phenomena
Merey M.Sarsengeldin·May 4, 2022
In this paper we elaborate a hybrid classical-quantum framework which allows one to model and solve heat and mass transfer problems occurring in electric contacts. We utilize special functions and Harrow-Hassidim-Lloyd (HHL) quantum algorithm for fin...
Entanglement Forging with generative neural network models
Patrick Huembeli, Giuseppe Carleo, Antonio Mezzacapo·May 2, 2022
The optimal use of quantum and classical computational techniques together is important to address problems that cannot be easily solved by quantum computations alone. This is the case of the ground state problem for quantum many-body systems. We sho...
Quantum Robustness Verification: A Hybrid Quantum-Classical Neural Network Certification Algorithm
Nicola Franco, Tom Wollschlager, Nicholas Gao +2 more·May 2, 2022
In recent years, quantum computers and algorithms have made significant progress indicating the prospective importance of quantum computing (QC). Especially combinatorial optimization has gained a lot of attention as an application field for near-ter...
Hybrid quantum-classical reservoir computing of thermal convection flow
Philip R. Pfeffer, F. Heyder, J. Schumacher·Apr 29, 2022
We simulate the nonlinear chaotic dynamics of Lorenz-type models for a classical two-dimensional thermal convection flow with 3 and 8 degrees of freedom by a hybrid quantum--classical reservoir computing model. The high-dimensional quantum reservoir ...
Towards Quantum Ray Tracing
Luís Paulo Santos, Thomas Bashford-rogers, J. Barbosa +1 more·Apr 27, 2022
Rendering on conventional computers is capable of generating realistic imagery, but the computational complexity of these light transport algorithms is a limiting factor of image synthesis. Quantum computers have the potential to significantly improv...
Quantum-classical convolutional neural networks in radiological image classification
A. Matic, Maureen Monnet, J. Lorenz +2 more·Apr 26, 2022
Quantum machine learning is receiving significant attention currently, but its usefulness in comparison to classical machine learning techniques for practical applications remains unclear. However, there are indications that certain quantum machine l...
Hybrid controlled-sum gate with one superconducting qutrit and one cat-state qutrit and application in hybrid entangled state preparation
Qi-Ping Su, Yu Zhang, Liang Bin +1 more·Apr 25, 2022
Compared with a qubit, a qudit (i.e., d -level or d -state quantum system) provides a larger Hilbert space to store and process information. On the other hand, qudit-based hybrid quantum computing usually requires performing hybrid quantum gates with...
Accelerating Noisy VQE Optimization with Gaussian Processes
Juliane Mueller, W. Lavrijsen, Costin Iancu +1 more·Apr 15, 2022
Hybrid variational quantum algorithms, which combine a classical optimizer with evaluations on a quantum chip, are the most promising candidates to show quantum advantage on current noisy, intermediate-scale quantum (NISQ) devices. The classical opti...
Programming Quantum Hardware via Levenberg Marquardt Machine Learning
J. Steck, Nathan L. Thompson, E. Behrman·Apr 14, 2022
—We present an improved method for quantum machine learning, using a modified Levenberg-Marquardt (LM) method. The LM method is a powerful hybrid reinforcement learning technique ideally suited to quantum machine learning as it only requires knowledg...
NEQRX: Efficient Quantum Image Encryption with Reduced Circuit Complexity
Rakesh Saini, B. K. Behera, S. Al-kuwari +1 more·Apr 14, 2022
Cryptography plays an important role in ensuring data security and authentication within information processing systems. As the prevalence of digital imagery continues to grow, safeguarding this form of data becomes increasingly crucial. However, exi...
ADAPT-VQE is insensitive to rough parameter landscapes and barren plateaus
Harper R. Grimsley, George S. Barron, Edwin Barnes +2 more·Apr 14, 2022
Variational quantum eigensolvers (VQEs) represent a powerful class of hybrid quantum-classical algorithms for computing molecular energies. Various numerical issues exist for these methods, however, including barren plateaus and large numbers of loca...