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Machine Learning
Optimization
Chemistry Simulation
Other
Machine Learning
A quantum spectral method for simulating stochastic processes, with applications to Monte Carlo
March 12, 2023
arXiv
Hear from the authors
Chemistry Simulation
Drug design on quantum computers
January 10, 2023
arXiv
arXiv
Hear from the authors
Machine Learning
Quantum Methods for Neural Networks and Application to Medical Image Classification
December 22, 2022
Quantum
arXiv
Hear from the authors
Chemistry Simulation
A stochastic quantum Krylov protocol with double factorized Hamiltonians
November 15, 2022
arXiv
arXiv
Hear from the authors
Optimization
Expectation Values from the Single-Layer Quantum Approximate Optimization Algorithm on Ising Problems
September 26, 2022
Quantum Science and Technology
arXiv
Hear from the authors
Machine Learning
Quantum Vision Transformers
September 16, 2022
arXiv
arXiv
Hear from the authors
Chemistry Simulation
Efficient Quantum Analytic Nuclear Gradients with Double Factorization
July 26, 2022
arXiv
arXiv
Hear from the authors
Chemistry Simulation
Interaction Energies on Noisy Intermediate-Scale Quantum Computers
July 1, 2022
arXiv
arXiv
Hear from the authors
Machine Learning
Low depth algorithms for quantum amplitude estimation
June 27, 2022
Quantum
arXiv
Hear from the authors
Optimization
Supply Chain Logistics with Quantum and Classical Annealing Algorithms
May 9, 2022
arXiv
arXiv
Hear from the authors
Machine Learning
Quantum Reinforcement Learning via Policy Iteration
March 3, 2022
arXiv
arXiv
Hear from the authors
Machine Learning
Quantum machine learning with subspace states
January 31, 2022
arXiv
arXiv
Hear from the authors
Chemistry Simulation
Towards the Simulation of Large Scale Protein-Ligand Interactions on NISQ-era Quantum Computers
January 17, 2022
Chemical Science
arXiv
Hear from the authors
Chemistry Simulation
Quantum Filter Diagonalization with Compressed Double-Factorized Hamiltonians
December 15, 2021
PRX Quantum
arXiv
Hear from the authors
Chemistry Simulation
Local Expressive Quantum-Number-Preserving VQE Ansatze for Fermionic Systems
November 12, 2021
New Journal of Physics
arXiv
Hear from the authors
Chemistry Simulation
Analytical Ground- and Excited-State Gradients for Molecular Electronic Structure Theory from Hybrid Quantum/Classical Methods
October 11, 2021
Arxiv
arXiv
Hear from the authors
Other
Low depth amplitude estimation on a trapped ion quantum computer
September 20, 2021
Arxiv
arXiv
Hear from the authors
Machine Learning
Short Quantum Circuits in Reinforcement Learning Policies for the Vehicle Routing Problem
September 15, 2021
Arxiv
arXiv
Hear from the authors
Machine Learning
Improving quantum linear system solvers via a gradient descent perspective
September 9, 2021
arXiv
arXiv
Hear from the authors
Optimization
Instance Independence of Single Layer Quantum Approximate Optimization Algorithm on Mixed-Spin Models at Infinite Size
September 7, 2021
Quantum
arXiv
Hear from the authors
Machine Learning
Medical image classification via quantum neural networks
September 4, 2021
Arxiv
arXiv
Hear from the authors
Optimization
Quantum Optimization Heuristics with an Application to Knapsack Problems
August 19, 2021
Arxiv
arXiv
Hear from the authors
Machine Learning
Nearest Centroid Classification on a Trapped Ion Quantum Computer
August 5, 2021
Nature
arXiv
Hear from the authors
Machine Learning
Classical and Quantum Algorithms for Orthogonal Neural Networks
June 14, 2021
arXiv
arXiv
Hear from the authors
Machine Learning
Quantum Spectral Clustering
April 15, 2021
Physical Review A
arXiv
Hear from the authors
Machine Learning
Quantum algorithms for Second-Order Cone Programming and Support Vector Machines
April 8, 2021
Quantum
arXiv
Hear from the authors
Machine Learning
Experimental demonstration of quantum advantage for NP verification with limited information
February 8, 2021
Nature Communications
arXiv
Hear from the authors
Machine Learning
Prospects and challenges of quantum finance
November 12, 2020
Arxiv
arXiv
Hear from the authors
Machine Learning
Quantum Expectation-Maximization for Gaussian Mixture Models
July 12, 2020
International Conference on Machine Learning [ICML]
arXiv
Hear from the authors
Machine Learning
Quantum classification of the MNIST dataset via Slow Feature Analysis
June 22, 2020
Physical Review A
arXiv
Hear from the authors
Optimization
Inhomogeneous driving in quantum annealers can result in orders-of-magnitude improvements in performance
June 2, 2020
Quantum Science and Technology
arXiv
Hear from the authors
Machine Learning
Quantum Algorithms for Deep Convolutional Neural Networks
April 27, 2020
International Conference on Learning Representations
arXiv
Hear from the authors
Machine Learning
Quantum gradient descent for linear systems and least squares
February 14, 2020
Physical Review A
arXiv
Hear from the authors
Machine Learning
q-means: A quantum algorithm for unsupervised machine learning
December 8, 2019
Neural Information Processing Systems
arXiv
Hear from the authors
Optimization
A Quantum Interior Point Method for LPs and SDPs
October 21, 2019
ACM Transactions on Quantum Computing
arXiv
Hear from the authors
Optimization
Quantum Algorithms for Portfolio Optimization
October 1, 2019
ACM Advances in Financial Technologies
arXiv
Hear from the authors
Chemistry Simulation
Quantum Filter Diagonalization: Quantum Eigendecomposition without Full Quantum Phase Estimation
September 19, 2019
Arxiv
arXiv
Hear from the authors
Other
Readiness of quantum optimization machines for industrial applications
July 2, 2019
Physical Review Applied
arXiv
Hear from the authors
Chemistry Simulation
Quantum Computation of Electronic Transitions Using a Variational Quantum Eigensolver
June 12, 2019
Physical Review Letters
arXiv
Hear from the authors
Chemistry Simulation
Hybrid Quantum/Classical Derivative Theory: Analytical Gradients and Excited-State Dynamics for the Multistate Contracted Variational Quantum Eigensolver
June 1, 2019
Arxiv
arXiv
Hear from the authors
Other
Decoherence of up to 8-qubit entangled states in a 16-qubit superconducting quantum processor
April 17, 2019
Quantum Science and Technology
arXiv
Hear from the authors
Chemistry Simulation
A Jacobi Diagonalization and Anderson Acceleration Algorithm For Variational Quantum Algorithm Parameter Optimization
April 1, 2019
Arxiv
arXiv
Hear from the authors
Machine Learning
Quantum algorithms for feedforward neural networks
December 7, 2018
ACM Transactions on Quantum Computing
arXiv
Hear from the authors
Other
On the complexity and verification of quantum random circuit sampling
October 29, 2018
Nature Physics
arXiv
Hear from the authors
Machine Learning
Quantum Recommendation Systems
September 22, 2016
arXiv
arXiv
Hear from the authors
Machine Learning
A quantum spectral method for simulating stochastic processes, with applications to Monte Carlo
March 12, 2023
arXiv
Machine Learning
Quantum Methods for Neural Networks and Application to Medical Image Classification
December 22, 2022
Quantum
arXiv
Machine Learning
Quantum Vision Transformers
September 16, 2022
arXiv
arXiv
Machine Learning
Low depth algorithms for quantum amplitude estimation
June 27, 2022
Quantum
arXiv
Machine Learning
Quantum Reinforcement Learning via Policy Iteration
March 3, 2022
arXiv
arXiv
Machine Learning
Quantum machine learning with subspace states
January 31, 2022
arXiv
arXiv
Machine Learning
Short Quantum Circuits in Reinforcement Learning Policies for the Vehicle Routing Problem
September 15, 2021
Arxiv
arXiv
Machine Learning
Improving quantum linear system solvers via a gradient descent perspective
September 9, 2021
arXiv
arXiv
Machine Learning
Medical image classification via quantum neural networks
September 4, 2021
Arxiv
arXiv
Machine Learning
Nearest Centroid Classification on a Trapped Ion Quantum Computer
August 5, 2021
Nature
arXiv
Machine Learning
Classical and Quantum Algorithms for Orthogonal Neural Networks
June 14, 2021
arXiv
arXiv
Machine Learning
Quantum Spectral Clustering
April 15, 2021
Physical Review A
arXiv
Machine Learning
Quantum algorithms for Second-Order Cone Programming and Support Vector Machines
April 8, 2021
Quantum
arXiv
Machine Learning
Experimental demonstration of quantum advantage for NP verification with limited information
February 8, 2021
Nature Communications
arXiv
Machine Learning
Prospects and challenges of quantum finance
November 12, 2020
Arxiv
arXiv
Machine Learning
Quantum Expectation-Maximization for Gaussian Mixture Models
July 12, 2020
International Conference on Machine Learning [ICML]
arXiv
Machine Learning
Quantum classification of the MNIST dataset via Slow Feature Analysis
June 22, 2020
Physical Review A
arXiv
Machine Learning
Quantum Algorithms for Deep Convolutional Neural Networks
April 27, 2020
International Conference on Learning Representations
arXiv
Machine Learning
Quantum gradient descent for linear systems and least squares
February 14, 2020
Physical Review A
arXiv
Machine Learning
q-means: A quantum algorithm for unsupervised machine learning
December 8, 2019
Neural Information Processing Systems
arXiv
Machine Learning
Quantum algorithms for feedforward neural networks
December 7, 2018
ACM Transactions on Quantum Computing
arXiv
Machine Learning
Quantum Recommendation Systems
September 22, 2016
arXiv
arXiv
Optimization
Expectation Values from the Single-Layer Quantum Approximate Optimization Algorithm on Ising Problems
September 26, 2022
Quantum Science and Technology
arXiv
Optimization
Supply Chain Logistics with Quantum and Classical Annealing Algorithms
May 9, 2022
arXiv
arXiv
Optimization
Instance Independence of Single Layer Quantum Approximate Optimization Algorithm on Mixed-Spin Models at Infinite Size
September 7, 2021
Quantum
arXiv
Optimization
Quantum Optimization Heuristics with an Application to Knapsack Problems
August 19, 2021
Arxiv
arXiv
Machine Learning
Prospects and challenges of quantum finance
November 12, 2020
Arxiv
arXiv
Optimization
Inhomogeneous driving in quantum annealers can result in orders-of-magnitude improvements in performance
June 2, 2020
Quantum Science and Technology
arXiv
Optimization
A Quantum Interior Point Method for LPs and SDPs
October 21, 2019
ACM Transactions on Quantum Computing
arXiv
Optimization
Quantum Algorithms for Portfolio Optimization
October 1, 2019
ACM Advances in Financial Technologies
arXiv
Chemistry Simulation
Drug design on quantum computers
January 10, 2023
arXiv
arXiv
Chemistry Simulation
A stochastic quantum Krylov protocol with double factorized Hamiltonians
November 15, 2022
arXiv
arXiv
Chemistry Simulation
Efficient Quantum Analytic Nuclear Gradients with Double Factorization
July 26, 2022
arXiv
arXiv
Chemistry Simulation
Interaction Energies on Noisy Intermediate-Scale Quantum Computers
July 1, 2022
arXiv
arXiv
Chemistry Simulation
Towards the Simulation of Large Scale Protein-Ligand Interactions on NISQ-era Quantum Computers
January 17, 2022
Chemical Science
arXiv
Chemistry Simulation
Quantum Filter Diagonalization with Compressed Double-Factorized Hamiltonians
December 15, 2021
PRX Quantum
arXiv
Chemistry Simulation
Local Expressive Quantum-Number-Preserving VQE Ansatze for Fermionic Systems
November 12, 2021
New Journal of Physics
arXiv
Chemistry Simulation
Analytical Ground- and Excited-State Gradients for Molecular Electronic Structure Theory from Hybrid Quantum/Classical Methods
October 11, 2021
Arxiv
arXiv
Chemistry Simulation
Quantum Filter Diagonalization: Quantum Eigendecomposition without Full Quantum Phase Estimation
September 19, 2019
Arxiv
arXiv
Chemistry Simulation
Quantum Computation of Electronic Transitions Using a Variational Quantum Eigensolver
June 12, 2019
Physical Review Letters
arXiv
Chemistry Simulation
Hybrid Quantum/Classical Derivative Theory: Analytical Gradients and Excited-State Dynamics for the Multistate Contracted Variational Quantum Eigensolver
June 1, 2019
Arxiv
arXiv
Chemistry Simulation
A Jacobi Diagonalization and Anderson Acceleration Algorithm For Variational Quantum Algorithm Parameter Optimization
April 1, 2019
Arxiv
arXiv
Other
Low depth amplitude estimation on a trapped ion quantum computer
September 20, 2021
Arxiv
arXiv
Other
Readiness of quantum optimization machines for industrial applications
July 2, 2019
Physical Review Applied
arXiv
Other
Decoherence of up to 8-qubit entangled states in a 16-qubit superconducting quantum processor
April 17, 2019
Quantum Science and Technology
arXiv
Other
On the complexity and verification of quantum random circuit sampling
October 29, 2018
Nature Physics
arXiv
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