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Quantum Machine Intelligence

中文名称：量子机器智能

ISSN：2524-4906
出版周期：Semiannual

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1.Evaluation of parameterized quantum circuits: on the relation between classification accuracy, expressibility, and entangling capability

机译：评估参数化量子电路:对分类精度之间的关系,替代,相互纠缠的能力
- 作者：Thomas Hubregtsen;Josef Pichlmeier;Patrick StecherKoen Bertels
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
- quantum circuits;
- Hilbert space;
- quantum computinguseful areaCIRCUIT DESIGNparameterization;
2.Facial expression recognition on a quantum computer

机译：面部表情识别的量子电脑
- 作者：Riccardo Mengoni;Massimiliano Incudini;Alessandra Di Pierro
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
3.Variational quantum Boltzmann machines

机译：变分量子玻耳兹曼机
- 作者：Christa Zoufal;Aurelien Lucchi;Stefan Woerner
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
- Discrimination Learning;
- Boltzmann machines;
- LOSS FUNCTIONquantanumerical simulation;
4.Sparse quantum Gaussian processes to counter the curse of dimensionality

机译：稀疏的量子高斯过程应对诅咒的维度
- 作者：Gawel I. Kus;Sybrand van der Zwaag;Miguel A. Bessa
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
5.Layerwise learning for quantum neural networks

机译：Layerwise学习量子神经网络
- 作者：Andrea Skolik;Jarrod R. McClean;Masoud MohseniPatrick van der SmagtMartin Leib
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
- quantum circuits;
- Quantum devices;
- error curveLearningtest errorplateausgeneralization errorSteps;
6.Methods for accelerating geospatial data processing using quantum computers

机译：加速地理空间数据的方法处理使用量子计算机
- 作者：Max Henderson;Jarred Gallina;Michael Brett
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
7.Investigating the Chinese postman problem on a quantum annealer

机译：调查中国邮递员问题量子退火炉
- 作者：Ilaria Siloi;Virginia Carnevali;Bibek PokharelMarco FornariRosa Di Felice
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
8.A fuzzy approach using asymmetrical triangular distribution in a two-person zero-sum game for a multi-criteria decision-making problem

机译：使用不对称三角模糊的方法分布在二人零和博弈多准则决策问题
- 作者：Sarin Abraham;M. Punniyamoorthy
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
- fuzzy method;
- Membership functions;
- FuzzyTriangularinterval methoddecision criteria;
9.Learning adiabatic quantum algorithms over optimization problems

机译：学习绝热量子算法结束优化问题
- 作者：Davide Pastorello;Enrico Blanzieri;Valter Cavecchia
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
- tabu search;
- Adiabatic;
- HamiltonianalgorithmsQuantum computersquantum computing;
10.Quantum-assisted associative adversarial network: applying quantum annealing in deep learning

机译：Quantum-assisted联合对抗网络:应用量子退火在深入学习
- 作者：Max Wilson;Thomas Vandal;Tad HoggEleanor G. Rieffel
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
- Boltzmann machines;
- Machine Learning;
- quantaDatasetalgorithmsPROCESSORAssociative;
11.Binary classification with classical instances and quantum labels

机译：二进制与经典实例和分类量子标签
- 作者：Matthias C. Caro
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
- sample complexity;
- quanta;
- BinaryUpper bound;
12.Robust implementation of generative modeling with parametrized quantum circuits

机译：健壮的实现建模与生成参数化量子电路
- 作者：Vicente Leyton-Ortega;Alejandro Perdomo-Ortiz;Oscar Perdomo
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
- quantum circuits;
- Solvers;
- BENCHMARKSQuantum computersOptimization algorithmsaluminium;
13.A quantum search decoder for natural language processing

机译：一个量子搜索译码器自然语言处理
- 作者：Johannes Bausch;Sathyawageeswar Subramanian;Stephen Piddock
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
14.QDNN: deep neural networks with quantum layers

机译：QDNN:深与量子神经网络层
- 作者：Chen Zhao;Xiao-Shan Gao
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
15.Smooth input preparation for quantum and quantum-inspired machine learning

机译：输入准备量子和光滑量子激发机器学习所
- 作者：Zhikuan Zhao;Jack K. Fitzsimons;Patrick RebentrostVedran DunjkoJoseph F. Fitzsimons
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
- quanta;
- Artificial Intelligence;
- Machine Learninganalysis of algorithmalgorithmsFINDINGS;
16.Optimizing quantum heuristics with meta-learning

机译：优化量子启发式元学习
- 作者：Max Wilson;Rachel Stromswold;Filip WudarskiStuart HadfieldNorm M. TubmanEleanor G. Rieffel
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
- Heuristics;
- quanta;
- Environmentsquantum computing;
17.Semi-supervised time series classification method for quantum computing

机译：Semi-supervised时间序列分类方法量子计算
- 作者：Sheir Yarkoni;Andrii Kleshchonok;Yury DzerinFlorian NeukartMarc Hilbert
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
- quantum computing;
- Dataset;
- transport streamClassification Methods;
18.A projective simulation scheme for partially observable multi-agent systems

机译：部分的投影仿真方案多智能体系统可观测的
- 作者：Rasoul Kheiri
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
- Interest groups;
- Observability;
- simulating;
19.Optimizing the optimizer: decomposition techniques for quantum annealing

机译：优化优化器:分解技术量子退火
- 作者：Gideon Bass;Maxwell Henderson;Joshua HeathJoseph Dulny III
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
- quantum computing;
- quanta;
- Quantum computersalgorithmsBenchmark testingWorld problems;
20.Universal discriminative quantum neural networks

机译：量子神经网络普遍的歧视
- 作者：H. Chen;L. Wossnig;S. SeveriniH. NevenM. Mohseni
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
21.Hybrid quantum classical graph neural networks for particle track reconstruction

机译：神经网络的混合量子经典图粒子径迹重建
- 作者：Cenk Tuysuz;Carla Rieger;Kristiane NovotnyBilge DemirkozDaniel DobosKarolos PotamianosSofia VallecorsaJean-Roch VlimantRichard Forster
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第2期
22.An introduction to quantum machine learning: from quantum logic to quantum deep learning

机译：介绍量子机器学习:从量子逻辑量子深度学习
- 作者：Leonardo Alchieri;Davide Badalotti;Pietro BonardiSimone Bianco
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第2期
- quantum computing;
- quanta;
- Quantum computersLearningFormal logicalgorithms;
23.Charged particle tracking with quantum annealing optimization

机译：带电粒子跟踪与量子退火优化
- 作者：Alexander Zlokapa;Abhishek Anand;Jean-Roch VlimantJavier M. DuarteJoshua JobDaniel LidarMaria Spiropulu
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第2期
- Particle physics;
- Pattern recognition;
- quantaannealingSpeedingtracking;
24.Training Gaussian boson sampling by quantum machine learning

机译：培训由量子高斯玻色子抽样机器学习
- 作者：Claudio Conti
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第2期
25.Quantum circuit design search

机译：量子电路设计搜索
- 作者：Mohammad Pirhooshyaran;Tamas Terlaky
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第2期
26.Quantum semi-supervised kernel learning

机译：量子semi-supervised内核学习
- 作者：Seyran Saeedi;Aliakbar Panahi;Tom Arodz
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第2期
27.Quantum computing methods for supervised learning

机译：监督学习量子计算方法
- 作者：Viraj Kulkarni;Milind Kulkarni;Aniruddha Pant
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第2期
28.Quantum-accessible reinforcement learning beyond strictly epochal environments

机译：Quantum-accessible强化学习之外严格的划时代的环境
- 作者：A. Hamann;V. Dunjko;S. Wolk
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第2期
29.Analysis and synthesis of feature map for kernel-based quantum classifier

机译：地图分析和合成的功能基于量子分类器
- 作者：Yudai Suzuki;Hiroshi Yano;Qi GaoShumpei UnoTomoki TanakaManato AkiyamaNaoki Yamamoto
- 期刊名称：《Quantum Machine Intelligence》 | 2020年第1期
- feature map;
- quantum computing;
- kernel methodSupport Vector NetworksynthesisClassifiers;
30.Quantum-classical reinforcement learning for decoding noisy classical parity information

机译：Quantum-classical强化学习的解码嘈杂的经典的奇偶校验信息
- 作者：Daniel K. Park;Jonghun Park;June-Koo Kevin Rhee
- 期刊名称：《Quantum Machine Intelligence》 | 2020年第1期
31.Implementation of a Hamming distance-like genomic quantum classifier using inner products on ibmqx2 and ibmq_16_melbourne

机译：实现汉明远远看去就像基因组量子ibmqx2分类器使用内部产品和ibmq_16_melbourne
- 作者：Kunal Kathuria;Aakrosh Ratan;Michael McConnellStefan Bekiranov
- 期刊名称：《Quantum Machine Intelligence》 | 2020年第1期
- Dot product;
- Classifiers;
- Hamming distancebinary stringBinary operationGenomics;
32.On quantum ensembles of quantum classifiers

机译：在量子量子分类器的集合体
- 作者：Amira Abbas;Maria Schuld;Francesco Petruccione
- 期刊名称：《Quantum Machine Intelligence》 | 2020年第1期
33.A reinforcement learning approach for quantum state engineering

机译：量子的强化学习方法国家工程
- 作者：Jelena Mackeprang;Durga B. Rao Dasari;Jorg Wrachtrup
- 期刊名称：《Quantum Machine Intelligence》 | 2020年第1期
- Fidelity;
- Engineers;
- state spaceEngineeringRewardLearninglearning (artificial intelligence)quanta;
34.Accuracy and minor embedding in subqubo decomposition with fully connected large problems: a case study about the number partitioning problem

机译：准确性和小嵌入subqubo分解与完全连接关于数量问题:一个案例研究分区的问题
- 作者：Luca Asproni;Davide Caputo;Blanca SilvaGiovanni FazziMarco Magagnini
- 期刊名称：《Quantum Machine Intelligence》 | 2020年第1期
- annealing cycle;
- Solution space;
- Annealer - metalannealing timeembeddingquantapartitions;
35.Decoding surface code with a distributed neural network-based decoder

机译：代码与分布式神经解码表面基于网络的解码器
- 作者：Savvas Varsamopoulos;Koen Bertels;Carmen G. Almudever
- 期刊名称：《Quantum Machine Intelligence》 | 2020年第1期
36.Quanvolutional neural networks: powering image recognition with quantum circuits

机译：Quanvolutional神经网络:为形象识别与量子电路
- 作者：Maxwell Henderson;Samriddhi Shakya;Shashindra PradhanTristan Cook
- 期刊名称：《Quantum Machine Intelligence》 | 2020年第1期
37.Quantum bandits

机译：量子强盗
- 作者：Balthazar Casale;Giuseppe Di Molfetta;Hachem KadriLiva Ralaivola
- 期刊名称：《Quantum Machine Intelligence》 | 2020年第1期
- algorithms;
- optimal solution;
- quanta;
38.Error-mitigated data-driven circuit learning on noisy quantum hardware

机译：学习Error-mitigated数据驱动电路嘈杂的量子硬件
- 作者：Kathleen E. Hamilton;Raphael C. Pooser
- 期刊名称：《Quantum Machine Intelligence》 | 2020年第1期
39.Quantum learning with noise and decoherence: a robust quantum neural network

机译：与噪音和退相干量子学习:a健壮的量子神经网络
- 作者：Nam H. Nguyen;Elizabeth C. Behrman;James E. Steck
- 期刊名称：《Quantum Machine Intelligence》 | 2020年第1期
- quantum computing;
- Entanglement;
- bootstrappingquantaNeural networkNoise robustness;
40.A note on implication operators of quantum logic

机译：注意影响运营商的量子逻辑
- 作者：Songsong Dai
- 期刊名称：《Quantum Machine Intelligence》 | 2020年第2期
- Formal logic;
- Boolean algebra;
- AutomataquantaAUTOMATA THEORY;
41.On the convergence of projective-simulation-based reinforcement learning in Markov decision processes

机译：projective-simulation-based收敛的强化学习在马尔科夫决策流程
- 作者：W. L. Boyajian;J. Clausen;L. M. TrenkwalderV. DunjkoH. J. Briegel
- 期刊名称：《Quantum Machine Intelligence》 | 2020年第2期
- Converge;
- Markov chain;
- Learninglearning (artificial intelligence)Unsupervised learning;
42.Mapping graph coloring to quantum annealing

机译：映射图着色量子退火
- 作者：Carla Silva;Ana Aguiar;Priscila M. V. LimaInes Dutra
- 期刊名称：《Quantum Machine Intelligence》 | 2020年第2期
- colored graph;
- quanta;
- Quality assurancequantum computingannealingConstraintPolynomialpenalty;
43.Pseudo-dimension of quantum circuits

机译：Pseudo-dimension量子电路
- 作者：Matthias C. Caro;Ishaun Datta
- 期刊名称：《Quantum Machine Intelligence》 | 2020年第2期
- quantum computing;
- gates;
- Probability distributionPolynomialquantum circuitsComplexity theory;
44.K-spin Hamiltonian for quantum-resolvable Markov decision processes

机译：K-spin哈密顿quantum-resolvable马尔可夫决策过程
- 作者：Eric B. Jones;Peter Graf;Eliot KapitWesley Jones
- 期刊名称：《Quantum Machine Intelligence》 | 2020年第2期
45.Continuous-variable optimization with neural network quantum states

机译：Continuous-variable optimization with neural network quantum states
- 作者：Zhang Yabin;Gorsich David;Jayakumar ParamsothyVeerapaneni Shravan
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第1期
- Neural quantum states;
- Quantum information;
- Graph theory;
- Quantum rotors;
46.Learning the noise fingerprint of quantum devices

机译：Learning the noise fingerprint of quantum devices
- 作者：Martina Stefano;Buffoni Lorenzo;Gherardini StefanoCaruso Filippo
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第1期
- Noise fingerprint;
- Noise quantum sensing;
- Support vector machines;
- NISQ;
- Machine learning;
47.Quantum information distance based on classical descriptions

机译：基于经典描述的量子信息距离
- 作者：Dai Songsong
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第1期
48.A continuous variable Born machine

机译：连续变量 Born 机器
- 作者：Cepaite Ieva;Coyle Brian;Kashefi Elham
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第1期
- Continuous variable;
- Quantum information;
- Born machine;
- Generative modelling;
- Continuous probability distributions;
49.Quantum transfer learning for breast cancer detection

机译：用于乳腺癌检测的量子迁移学习
- 作者：Azevedo Vanda;Silva Carla;Dutra Ines
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第1期
- Quantum machine learning;
- Transfer learning;
- Quantum neural networks;
- Applications;
- Breast cancer;
- CLASSIFICATION;
50.Bipolar fuzzy attribute implications

机译：双极性模糊属性含义
- 作者：Singh Prem Kumar
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第1期
51.Quantum convolutional neural network for classical data classification

机译：用于经典数据分类的量子卷积神经网络
- 作者：Hur Tak;Kim Leeseok;Park Daniel K.
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第1期
52.Exploring quantum perceptron and quantum neural network structures with a teacher-student scheme

机译：基于师生方案的量子感知器和量子神经网络结构探索
- 作者：Gratsea Aikaterini;Huembeli Patrick
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第1期
- Quantum perceptrons;
- Quantum neural networks;
- Machine learning;
- Variational quantum circuits;
53.Quantum reinforcement learning: the maze problem

机译：量子强化学习：迷宫问题
- 作者：Dalla Pozza Nicola;Buffoni Lorenzo;Martina StefanoCaruso Filippo
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第1期
- Quantum walks;
- Reinforcement learning;
- Quantum machine learning;
- Maze;
54.Mode connectivity in the loss landscape of parameterized quantum circuits

机译：参数化量子电路损耗图中的模式连通性
- 作者：Hamilton Kathleen E.;Lynn Emily;Pooser Raphael C.
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第1期
- Quantum machine learning;
- Gradient-based optimization;
- Visualization;
- Circuit design;
- Mode connectivity;
55.The physics of energy-based models

机译：基于能量的模型的物理场
- 作者：Huembeli Patrick;Arrazola Juan Miguel;Killoran NathanMohseni MasoudWittek Peter
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第1期
56.Overfitting in quantum machine learning and entangling dropout

机译：量子机器学习中的过拟合和纠缠丢失
- 作者：Kobayashi Masahiro;Nakaji Kouhei;Yamamoto Naoki
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第2期
- Quantum machine learning;
- Parametrized quantum circuit;
- Overfitting;
- Dropout regularization;
57.Correction to: Mixer‑phaser ansätze for quantum optimization with hard constraints

机译：更正为：Mixer-phaser ansätze 用于具有硬约束的量子优化
- 作者：LaRose Ryan;Riefel Eleanor;Venturelli Davide
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第2期
58.A quantum generative adversarial network for distributions

机译：用于分布的量子生成对抗网络
- 作者：Assouel Amine;Jacquier Antoine;Kondratyev Alexei
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第2期
- Quantum computing;
- GAN;
- Quantum phase estimation;
- SVI;
- Volatility;
59.Computational complexity in high-dimensional quantum computing

机译：高维量子计算中的计算复杂性
- 作者：Nagata Koji;Diep Do Ngoc;Nakamura Tadao
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第2期
- Quantum algorithms;
- Quantum computation;
- Formalism;
60.Quantum algorithms for structured prediction

机译：用于结构化预测的量子算法
- 作者：Sepehry Behrooz;Iranmanesh Ehsan;Friedlander Michael P.Ronagh Pooya
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第2期
61.Computing graph edit distance on quantum devices

机译：在量子设备上计算图编辑距离
- 作者：Incudini Massimiliano;Tarocco Fabio;Mengoni RiccardoDi Pierro AlessandraMandarino Antonio
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第2期
- Graph edit distance;
- Quantum annealing;
- Variational quantum algorithms;
62.Learning with density matrices and random features

机译：使用密度矩阵和随机特征进行学习
- 作者：González Fabio A.;Gallego Alejandro;Toledo-Cortés SantiagoVargas-Calderón Vladimir
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第2期
63.Pairwise classification using quantum support vector machine with Kronecker kernel

机译：使用具有 Kronecker 核的量子支持向量机进行成对分类
- 作者：Nohara Taisei;Oyama Satoshi;Noda Itsuki
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第2期
- Quantum support vector machine;
- Kernel method;
- Pairwise classification;
- Quantum machine learning;
64.Deep tensor networks with matrix product operators

机译：Deep tensor networks with matrix product operators
- 作者：Žunkovič Bojan
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第2期
- Matrix product operators;
- Time-dependent variational principle;
- Deep tensor networks;
- Linear dot-attention;
65.Quantum algorithms for SVD-based data representation and analysis

机译：用于基于 SVD 的数据表示和分析的量子算法
- 作者：Bellante Armando;Luongo Alessandro;Zanero Stefano
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第2期
66.Simplified quantum algorithm for the oracle identification problem

机译：预言机识别问题的简化量子算法
- 作者：Taghavi Leila
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第2期
- Quantum algorithms;
- Query complexity;
- Span program;
- Decision tree;
67.Using Shor’s algorithm on near term Quantum computers: a reduced version

机译：在近期量子计算机上使用 Shor 算法：简化版本
- 作者：Rossi Martina;Asproni Luca;Caputo DavideRossi StefanoCusinato AliceMarini RemoAgosti AndreaMagagnini Marco
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第2期
- Shor’s algorithm;
- Integer factorization;
- NISQ;
- RSA;
68.Hybrid classical-quantum autoencoder for anomaly detection

机译：用于异常检测的混合经典量子自动编码器
- 作者：Sakhnenko Alona;O’Meara Corey;Ghosh Kumar J. B.Mendl Christian B.Cortiana GiorgioBernabé-Moreno Juan
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第2期
- Hybrid classical-quantum algorithm;
- Machine learning;
- Deep learning;
- Quantum neural network;
- Anomaly detection;
69.Mixer-phaser Ansätze for quantum optimization with hard constraints

机译：Mixer-phaser Ansätze 用于具有硬约束的量子优化
- 作者：LaRose Ryan;Rieffel Eleanor;Venturelli Davide
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第2期
70.Optimisation-free density estimation and classification with quantum circuits

机译：使用量子电路进行免优化的密度估计和分类
- 作者：Vargas-Calderón Vladimir;González Fabio A.;Vinck-Posada Herbert
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第2期
- Machine learning;
- Optimisation-free;
- Quantum circuit;
- Quantum feature map;
71.A hybrid quantum image edge detector for the NISQ era

机译：NISQ时代的混合量子图像边缘探测器
- 作者：Geng Alexander;Moghiseh Ali;Redenbach ClaudiaSchladitz Katja
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第2期
- Quantum image processing;
- Quantum edge detection;
- Quantum artificial neurons;
- IBM quantum experience;
- Real backend;
72.Learning classical readout quantum PUFs based on single-qubit gates

机译：Learning classical readout quantum PUFs based on single-qubit gates
- 作者：Pirnay Niklas;Pappa Anna;Seifert Jean-Pierre
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第2期
73.Implementable hybrid quantum ant colony optimization algorithm

机译：可实现的混合量子蚁群优化算法
- 作者：de Andoin M. Garcia;Echanobe J.
- 期刊名称：《Quantum Machine Intelligence》 | 2022年第2期
74.Charged particle tracking with quantum annealing optimization

机译：Charged particle tracking with quantum annealing optimization
- 作者：Zlokapa Alexander;Anand Abhishek;Vlimant Jean-RochDuarte Javier M.Job JoshuaLidar DanielSpiropulu Maria
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第2期
- Quantum annealing;
- High energy physics;
- Optimization;
- Pattern recognition;
- Adiabatic quantum computing;
- MACHINE;
75.Quantum semi-supervised kernel learning

机译：Quantum semi-supervised kernel learning
- 作者：Saeedi Seyran;Panahi Aliakbar;Arodz Tom
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第2期
- Quantum machine learning;
- Semi-supervised learning;
- Support vector machines;
- Quantum computing;
- Machine learning;
76.Training Gaussian boson sampling by quantum machine learning

机译：Training Gaussian boson sampling by quantum machine learning
- 作者：Conti Claudio
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第2期
- Machine learning;
- Gaussian Boson sampling;
77.Quantum computing methods for supervised learning

机译：Quantum computing methods for supervised learning
- 作者：Kulkarni Viraj;Kulkarni Milind;Pant Aniruddha
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第2期
- Quantum machine learning;
- Quantum computing;
- Machine learning;
- Artificial intelligence;
- OPTIMIZATION;
- MECHANICS;
- TIME;
78.Quantum-accessible reinforcement learning beyond strictly epochal environments

机译：Quantum-accessible reinforcement learning beyond strictly epochal environments
- 作者：Hamann A.;Dunjko V.;Woelk S.
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第2期
- Reinforcement learning;
- Quantum-classical hybrid agent;
- Amplitude amplification;
- BOUNDS;
79.A quantum search decoder for natural language processing

机译：A quantum search decoder for natural language processing
- 作者：Bausch Johannes;Subramanian Sathyawageeswar;Piddock Stephen
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
- Recurrent neural networks;
- Quantum algorithms;
- Quantum search;
- Parsing;
- Natural language processing;
- Quantum speedups;
- UNIFORM RANDOM GENERATION;
- CONTEXT-FREE LANGUAGES;
- WORDS;
- TIME;
- ALGORITHM;
- FREQUENCIES;
- LAW;
80.Layerwise learning for quantum neural networks

机译：Layerwise learning for quantum neural networks
- 作者：Skolik Andrea;McClean Jarrod R.;Mohseni Masoudvan der Smagt PatrickLeib Martin
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
- Quantum neural network;
- Parametrized quantum circuit;
- Quantum machine learning;
- Gate model quantum computing;
- OPTIMIZATION;
- ALGORITHM;
- SUPREMACY;
81.Stationary states of a dissipative two-qubit quantum channel and their applications for quantum machine learning

机译：Stationary states of a dissipative two-qubit quantum channel and their applications for quantum machine learning
- 作者：Ghasemian E.
- 期刊名称：《Quantum Machine Intelligence》 | 2023年第1期
- Dissipative two-qubit channel;
- Quantum machine learning;
- Stationary entangled states;
- Squeezed reservoir;
- INSEPARABILITY;
- CRITERION;
82.Optimizing quantum heuristics with meta-learning

机译：Optimizing quantum heuristics with meta-learning
- 作者：Wilson Max;Stromswold Rachel;Wudarski FilipHadfield StuartTubman Norm M.Rieffel Eleanor G.
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
83.Binary classification with classical instances and quantum labels

机译：Binary classification with classical instances and quantum labels
- 作者：Caro Matthias C.
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
- Quantum learning theory;
- Sample complexity;
- Binary classification;
- VC-dimension;
- LEARNABILITY;
84.Policy gradients using variational quantum circuits

机译：Policy gradients using variational quantum circuits
- 作者：Sequeira Andre;Santos Luis Paulo;Barbosa Luis Soares
- 期刊名称：《Quantum Machine Intelligence》 | 2023年第1期
- Quantum machine learning;
- Reinforcement learning;
- Policy gradients;
- Quantum control;
- REINFORCEMENT;
- GO;
85.Non-IID quantum federated learning with one-shot communication complexity

机译：Non-IID quantum federated learning with one-shot communication complexity
- 作者：Zhao Haimeng
- 期刊名称：《Quantum Machine Intelligence》 | 2023年第1期
- Quantum machine learning;
- Federated learning;
- Machine learning;
- Decentralized computation;
- MIXTURES;
- EXPERTS;
86.Quantum pattern recognition on real quantum processing units

机译：Quantum pattern recognition on real quantum processing units
- 作者：Das Sreetama;Zhang Jingfu;Martina StefanoSuter DieterCaruso Filippo
- 期刊名称：《Quantum Machine Intelligence》 | 2023年第1期
87.Semi-supervised time series classification method for quantum computing

机译：Semi-supervised time series classification method for quantum computing
- 作者：Yarkoni Sheir;Kleshchonok Andrii;Dzerin YuryNeukart FlorianHilbert Marc
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
- Quantum computing;
- Quantum annealing;
- Quantum machine learning;
- Classification;
- OPTIMIZATION;
- ALGORITHM;
88.Continuous-variable neural network quantum states and the quantum rotor model

机译：Continuous-variable neural network quantum states and the quantum rotor model
- 作者：Stokes James;De Saibal;Veerapaneni ShravanCarleo Giuseppe
- 期刊名称：《Quantum Machine Intelligence》 | 2023年第1期
- Neural network quantum states;
- Quantum rotor model;
- Restricted Boltzmann machine;
- GROUND-STATE;
- ALGORITHMS;
89.If AI machine cannot think, can QI machine think?-from negative numbers to quantum intelligence for mind-light-matter unity

机译：If AI machine cannot think, can QI machine think?-from negative numbers to quantum intelligence for mind-light-matter unity
- 作者：Zhang Wen-Ran
- 期刊名称：《Quantum Machine Intelligence》 | 2023年第1期
90.Stationary states of a dissipative two-qubit quantum channel and their applications for quantum machine learning

机译：Stationary states of a dissipative two-qubit quantum channel and their applications for quantum machine learning
- 作者：Ghasemian E.
- 期刊名称：《Quantum Machine Intelligence》 | 2023年第1期
- Dissipative two-qubit channel;
- Quantum machine learning;
- Stationary entangled states;
- Squeezed reservoir;
- INSEPARABILITY;
- CRITERION;
91.Methods for accelerating geospatial data processing using quantum computers

机译：Methods for accelerating geospatial data processing using quantum computers
- 作者：Henderson Max;Gallina Jarred;Brett Michael
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
- Quantum computing;
- Machine learning;
- Satellite imagery;
92.Subtleties in the trainability of quantum machine learning models

机译：Subtleties in the trainability of quantum machine learning models
- 作者：Thanasilp Supanut;Wang Samson;Nghiem Nhat AnhColes PatrickCerezo Marco
- 期刊名称：《Quantum Machine Intelligence》 | 2023年第1期
- Quantum machine learning;
- Trainability;
- Variantional quantum algorithms;
- Barren plateaus;
93.Facial expression recognition on a quantum computer

机译：Facial expression recognition on a quantum computer
- 作者：Mengoni Riccardo;Incudini Massimiliano;Di Pierro Alessandra
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
- Quantum machine learning;
- Quantum computing;
- Graph theory;
- Facial expression recognition;
94.Quantum pattern recognition on real quantum processing units

机译：Quantum pattern recognition on real quantum processing units
- 作者：Das Sreetama;Zhang Jingfu;Martina StefanoSuter DieterCaruso Filippo
- 期刊名称：《Quantum Machine Intelligence》 | 2023年第1期
95.Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning

机译：Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning
- 作者：Di Marcantonio Francesco;Incudini Massimiliano;Tezza DavideGrossi Michele
- 期刊名称：《Quantum Machine Intelligence》 | 2023年第1期
- Software for quantum machine learning;
- Software;
- Quantum kernels;
- Quantum machine learning;
- Quantum computing;
96.Equivariant quantum graph circuits: constructions for universal approximation over graphs

机译：Equivariant quantum graph circuits: constructions for universal approximation over graphs
- 作者：Mernyei Peter;Meichanetzidis Konstantinos;Ceylan Ismail Ilkan
- 期刊名称：《Quantum Machine Intelligence》 | 2023年第1期
- Quantum machine learning;
- Graph representation learning;
- Machine learning theory;
- Model expressivity;
- NETWORKS;
97.A fuzzy approach using asymmetrical triangular distribution in a two-person zero-sum game for a multi-criteria decision-making problem

机译：A fuzzy approach using asymmetrical triangular distribution in a two-person zero-sum game for a multi-criteria decision-making problem
- 作者：Abraham Sarin;Punniyamoorthy M.
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第1期
- Multi-criteria evaluation;
- Two-person zero-sum game;
- Asymmetrical triangular fuzzy matrices;
- MATRIX GAMES;
98.Feature selection on quantum computers

机译：Feature selection on quantum computers
- 作者：Muecke Sascha;Heese Raoul;Mueller SabineWolter MoritzPiatkowski Nico
- 期刊名称：《Quantum Machine Intelligence》 | 2023年第1期
- Feature selection;
- VQE;
- Quantum annealer;
- QUBO;
- CLASSIFICATION;
99.Quantum density peak clustering

机译：Quantum density peak clustering
- 作者：Magano Duarte;Buffoni Lorenzo;Omar Yasser
- 期刊名称：《Quantum Machine Intelligence》 | 2023年第1期
- Quantum algorithms;
- Quantum machine learning;
- Clustering;
100.Hybrid quantum classical graph neural networks for particle track reconstruction

机译：Hybrid quantum classical graph neural networks for particle track reconstruction
- 作者：Tuysuz Cenk;Rieger Carla;Novotny KristianeDemirkoz BilgeDobos DanielPotamianos KarolosVallecorsa SofiaVlimant Jean-RochForster Richard
- 期刊名称：《Quantum Machine Intelligence》 | 2021年第2期
- Quantum graph neural networks;
- Quantum machine learning;
- Particle track reconstruction;

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