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QUBO Formulations for Training Machine Learning Models

QUBO Formulations for Training Machine Learning Models

5 August 2020
Prasanna Date
Davis Arthur
Lauren Pusey-Nazzaro
ArXivPDFHTML

Papers citing "QUBO Formulations for Training Machine Learning Models"

29 / 29 papers shown
Title
Probabilistic Quantum SVM Training on Ising Machine
Probabilistic Quantum SVM Training on Ising Machine
Haoqi He
Yan Xiao
55
0
0
20 Mar 2025
Solving the Traveling Salesman Problem via Different Quantum Computing Architectures
Solving the Traveling Salesman Problem via Different Quantum Computing Architectures
Venkat Padmasola
Zhaotong Li
Rupak Chatterjee
Wesley Dyk
56
0
0
24 Feb 2025
Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection Systems
Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection Systems
Armando Bellante
Tommaso Fioravanti
Michele Carminati
S. Zanero
Alessandro Luongo
46
0
0
16 Feb 2025
Performance-Driven QUBO for Recommender Systems on Quantum Annealers
Performance-Driven QUBO for Recommender Systems on Quantum Annealers
Jiayang Niu
Jie Li
Ke Deng
Mark Sanderson
Yongli Ren
25
0
0
20 Oct 2024
Privacy-Preserving Quantum Annealing for Quadratic Unconstrained Binary
  Optimization (QUBO) Problems
Privacy-Preserving Quantum Annealing for Quadratic Unconstrained Binary Optimization (QUBO) Problems
Moyang Xie
Yuan Zhang
Sheng Zhong
Qun Li
18
2
0
27 Sep 2024
Developing a Framework for Sonifying Variational Quantum Algorithms:
  Implications for Music Composition
Developing a Framework for Sonifying Variational Quantum Algorithms: Implications for Music Composition
Paulo Vitor Itaboraí
Peter Thomas
Arianna Crippa
Karl Jansen
Tim Schwägerl
María Aguado Yáñez
13
1
0
11 Sep 2024
Distributed Quantum Approximate Optimization Algorithm on Integrated
  High-Performance Computing and Quantum Computing Systems for Large-Scale
  Optimization
Distributed Quantum Approximate Optimization Algorithm on Integrated High-Performance Computing and Quantum Computing Systems for Large-Scale Optimization
Seongmin Kim
Tengfei Luo
Eungkyu Lee
In-Saeng Suh
21
0
0
29 Jul 2024
Hybrid Heuristic Algorithms for Adiabatic Quantum Machine Learning Models
Hybrid Heuristic Algorithms for Adiabatic Quantum Machine Learning Models
B. Alidaee
Haibo Wang
L. Sua
Wade Liu
19
0
0
26 Jul 2024
Sparks of Quantum Advantage and Rapid Retraining in Machine Learning
Sparks of Quantum Advantage and Rapid Retraining in Machine Learning
William Troy
AI4CE
18
5
0
22 Jul 2024
Adiabatic Quantum Support Vector Machines
Adiabatic Quantum Support Vector Machines
Prasanna Date
Dong Jun Woun
Kathleen E. Hamilton
Eduardo Antonio Coello Pérez
Mayanka Chandra Shekar
Francisco Rios
John P. Gounley
In-Saeng Suh
Travis Humble
Georgia D. Tourassi
14
0
0
23 Jan 2024
A Simple Quantum Blockmodeling with Qubits and Permutations
A Simple Quantum Blockmodeling with Qubits and Permutations
Ammar Daskin
16
0
0
13 Nov 2023
Training Multi-layer Neural Networks on Ising Machine
Training Multi-layer Neural Networks on Ising Machine
Xujie Song
Tong Liu
Shengbo Eben Li
Jingliang Duan
Wenxuan Wang
Keqiang Li
26
0
0
06 Nov 2023
A general learning scheme for classical and quantum Ising machines
A general learning scheme for classical and quantum Ising machines
Ludwig Schmid
Enrico Zardini
D. Pastorello
AI4CE
24
1
0
27 Oct 2023
Projected Stochastic Gradient Descent with Quantum Annealed Binary
  Gradients
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients
Maximilian Krahn
Michele Sasdelli
Fengyi Yang
Vladislav Golyanik
Juho Kannala
Tat-Jun Chin
Tolga Birdal
MQ
79
2
0
23 Oct 2023
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum
  Computing
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
Jan-Nico Zaech
Martin Danelljan
Tolga Birdal
Luc Van Gool
19
1
0
18 Oct 2023
Variational Quantum Harmonizer: Generating Chord Progressions and Other
  Sonification Methods with the VQE Algorithm
Variational Quantum Harmonizer: Generating Chord Progressions and Other Sonification Methods with the VQE Algorithm
Paulo Vitor Itaboraí
Tim Schwägerl
María Aguado Yáñez
Arianna Crippa
Karl Jansen
Eduardo Reck Miranda
Peter Thomas
11
2
0
21 Sep 2023
QUBO-inspired Molecular Fingerprint for Chemical Property Prediction
QUBO-inspired Molecular Fingerprint for Chemical Property Prediction
K. Yawata
Yoshihiro Osakabe
Takuya Okuyama
A. Asahara
24
0
0
17 Mar 2023
QUBO Decision Tree: Annealing Machine Extends Decision Tree Splitting
QUBO Decision Tree: Annealing Machine Extends Decision Tree Splitting
K. Yawata
Yoshihiro Osakabe
Takuya Okuyama
A. Asahara
14
4
0
17 Mar 2023
Implementation of Trained Factorization Machine Recommendation System on
  Quantum Annealer
Implementation of Trained Factorization Machine Recommendation System on Quantum Annealer
Chen-Yu Liu
Hsin-Yu Wang
Pei-Yen Liao
Ching-Jui Lai
Min-hsiu Hsieh
LRM
21
14
0
24 Oct 2022
Accelerating the training of single-layer binary neural networks using
  the HHL quantum algorithm
Accelerating the training of single-layer binary neural networks using the HHL quantum algorithm
S. L. Alarcón
Cory E. Merkel
Martin Hoffnagle
Sabrina Ly
Alejandro Pozas-Kerstjens
16
5
0
23 Oct 2022
Quantum Sparse Coding
Quantum Sparse Coding
Yaniv Romano
H. Primack
Talya Vaknin
Idan Meirzada
Ilan Karpas
Dov Furman
Chene Tradonsky
Ruti Ben-shlomi
6
2
0
08 Sep 2022
Feature Selection on Quantum Computers
Feature Selection on Quantum Computers
Sascha Mucke
R. Heese
Sabine Muller
Moritz Wolter
Nico Piatkowski
15
32
0
24 Mar 2022
Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary
  Optimization
Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization
A. Yurtsever
Tolga Birdal
Vladislav Golyanik
13
12
0
23 Mar 2022
QUBOs for Sorting Lists and Building Trees
QUBOs for Sorting Lists and Building Trees
Christian Bauckhage
Thore Gerlach
Nico Piatkowski
17
0
0
15 Mar 2022
Discriminating Quantum States with Quantum Machine Learning
Discriminating Quantum States with Quantum Machine Learning
David Quiroga
Prasanna Date
R. Pooser
11
9
0
01 Dec 2021
Adiabatic Quantum Feature Selection for Sparse Linear Regression
Adiabatic Quantum Feature Selection for Sparse Linear Regression
Surya Sai Teja Desu
P. K. Srijith
M. Rao
Naveen Sivadasan
11
4
0
04 Jun 2021
Adiabatic Quantum Optimization Fails to Solve the Knapsack Problem
Adiabatic Quantum Optimization Fails to Solve the Knapsack Problem
Lauren Pusey-Nazzaro
Prasanna Date
14
20
0
17 Aug 2020
Balanced k-Means Clustering on an Adiabatic Quantum Computer
Balanced k-Means Clustering on an Adiabatic Quantum Computer
Davis Arthur
Prasanna Date
14
56
0
10 Aug 2020
Adiabatic Quantum Linear Regression
Adiabatic Quantum Linear Regression
Prasanna Date
T. Potok
6
70
0
05 Aug 2020
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