Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Complementarity between success probability and coherence in Grover search algorithm
Minghua Pan, Haozhen Situ, Shenggen Zheng·May 19, 2022
Coherence plays a very important role in Grover search algorithm (GSA). In this paper, we define the normalization coherence , where C is a coherence measurement. By virtue of the constraint of large N and Shannon's maximum entropy principle, a surpr...
Evolution strategies: application in hybrid quantum-classical neural networks
Lucas Friedrich, J. Maziero·May 17, 2022
With the rapid development of quantum computers, several applications are being proposed for them. Quantum simulations, simulation of chemical reactions, solution of optimization problems and quantum neural networks (QNNs) are some examples. However,...
Learning Quantum Entanglement Distillation With Noisy Classical Communications
Hari Hara Suthan Chittoor, O. Simeone·May 17, 2022
An important primitive for quantum networking is entanglement distillation, whose goal is to enhance the fidelity of entangled qubits through local operations and classical communication (LOCC). Existing distillation protocols assume the availability...
Analysis of the Vehicle Routing Problem Solved via Hybrid Quantum Algorithms in the Presence of Noisy Channels
Nishikanta Mohanty, B. K. Behera, C. Ferrie·May 13, 2022
The vehicle routing problem (VRP) is an NP-hard optimization problem that has been an interest of research for decades in science and industry. The objective is to plan routes of vehicles to deliver goods to a fixed number of customers with optimal e...
Forward-backward stochastic simulations: Q-based model for measurement and Bell-nonlocality consistent with weak local realistic premises
M D Reid, P D Drummond·May 12, 2022
We show how measurement and nonlocality can be explained consistently with macroscopic realism and no-signaling, and causal relations for macroscopic quantities. Considering measurement of a field amplitude $\hat{x}$, we derive theorems that lead to ...
Efficient quantum state tracking in noisy environments
M. Rambach, Akram Youssry, M. Tomamichel +1 more·May 12, 2022
Quantum state tomography, which aims to find the best description of a quantum state—the density matrix, is an essential building block in quantum computation and communication. Standard techniques for state tomography are incapable of tracking chang...
Gravitational wave matched filtering by quantum Monte Carlo integration and quantum amplitude amplification
Koichi Miyamoto, G. Morrás, Takahiro Yamamoto +2 more·May 12, 2022
The speedup of heavy numerical tasks by quantum computing is now actively investigated in various fields including data analysis in physics and astronomy. In this paper, we propose a new quantum algorithm for matched filtering in gravitational wave (...
Gradient-Free optimization algorithm for single-qubit quantum classifier
Anqi Zhang, Xiaoyun He, Sheng-mei Zhao·May 10, 2022
In the paper, a gradient-free optimization algorithm for single-qubit quantum classifier is proposed to overcome the effects of barren plateau caused by quantum devices. A rotation gate RX({\phi}) is applied on a single-qubit binary quantum classifie...
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...
Co-Designed Architectures for Modular Superconducting Quantum Computers
Evan McKinney, M. Xia, Chao Zhou +3 more·May 9, 2022
Noisy, Intermediate Scale Quantum (NISQ) computers have reached the point where they can show the potential for quantum advantage over classical computing. Unfortunately, NISQ machines introduce sufficient noise that even for moderate size quantum ci...
Robust Quantum Control for the Manipulation of Solid-State Spins
Yi-fan Zhang, Hao Wu, Xiao-dong Yang +6 more·May 5, 2022
Robust and high-fidelity control of electron spins in solids is the cornerstone for facilitating applications of solid-state spins in quantum information processing and quantum sensing. However, precise control of spin systems is always challenging d...
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...
Accelerated Convergence of Contracted Quantum Eigensolvers through a Quasi-Second-Order, Locally Parameterized Optimization
Scott E. Smart, D. Mazziotti·May 3, 2022
A contracted quantum eigensolver (CQE) finds a solution to the many-electron Schrödinger equation by solving its integration (or contraction) to the two-electron space—a contracted Schrödinger equation (CSE)—on a quantum computer. When applied to the...
ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse
Jongmin Kim, Gwangho Lee, Sangpyo Kim +4 more·May 2, 2022
Homomorphic Encryption (HE) is one of the most promising post-quantum cryptographic schemes that enable privacy-preserving computation on servers. However, noise accumulates as we perform operations on HE-encrypted data, restricting the number of pos...
Quantum pattern recognition on real quantum processing units
Sreetama Das, Jingfu Zhang, Stefano Martina +2 more·May 1, 2022
One of the most promising applications of quantum computing is the processing of graphical data like images. Here, we investigate the possibility of realizing a quantum pattern recognition protocol based on swap test, and use the IBMQ noisy intermedi...
Foundations for learning from noisy quantum experiments
Hsin-Yuan Huang, S. Flammia, J. Preskill·Apr 28, 2022
Understanding what can be learned from experiments is central to scientific progress. In this work, we use a learning-theoretic perspective to study the task of learning physical operations in a quantum machine when all operations (state preparation,...
Quantum error mitigation by hidden inverses protocol in superconducting quantum devices
Vicente Leyton-Ortega, Swarnadeep Majumder, R. Pooser·Apr 26, 2022
We present a method to improve the convergence of variational algorithms based on hidden inverses (HIs) to mitigate coherent errors. In the context of error mitigation, this means replacing the hardware implementation of certain Hermitian gates with ...
Universal compilation for quantum state preparation and tomography
V. Hai, Le Bin Ho·Apr 25, 2022
Universal compilation is a training process that compiles a trainable unitary into a target unitary and it serves vast potential applications from quantum dynamic simulations to optimal circuits with deep-compressing, device benchmarking, quantum err...