December 7 - 9, 2021.
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December 7 - 9, 2021.
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October 2021
Analytical Ground- and Excited-State Gradients for Molecular Electronic Structure Theory from Hybrid Quantum/Classical Methods
Arxiv
arXiv
October 2021
Towards the Simulation of Large Scale Protein-Ligand Interactions on NISQ-era Quantum Computers
Arxiv
arXiv
September 2021
Low depth amplitude estimation on a trapped ion quantum computer
Arxiv
arXiv
September 2021
Short Quantum Circuits in Reinforcement Learning Policies for the Vehicle Routing Problem
Arxiv
arXiv
September 2021
Improving quantum linear system solvers via a gradient descent perspective
arXiv
arXiv
September 2021
Instance Independence of Single Layer Quantum Approximate Optimization Algorithm on Mixed-Spin Models at Infinite Size
Quantum
arXiv
September 2021
Medical image classification via quantum neural networks
Arxiv
arXiv
August 2021
Quantum Optimization Heuristics with an Application to Knapsack Problems
Arxiv
arXiv
August 2021
Nearest Centroid Classification on a Trapped Ion Quantum Computer
Nature
arXiv
June 2021
Classical and Quantum Algorithms for Orthogonal Neural Networks
arXiv
arXiv
April 2021
Quantum Filter Diagonalization with Double-Factorized Hamiltonians
Arxiv
arXiv
April 2021
Quantum Spectral Clustering
Physical Review A
arXiv
April 2021
Local Expressive Quantum-Number-Preserving VQE Ansatze for Fermionic Systems
Arxiv
arXiv
April 2021
Quantum algorithms for Second-Order Cone Programming and Support Vector Machines
Quantum
arXiv
February 2021
Experimental demonstration of quantum advantage for NP verification with limited information
Nature Communications
arXiv
December 2020
Expectation Values from the Single-Layer Quantum Approximate Optimization Algorithm on Ising Problems
Arxiv
arXiv
December 2020
Low depth algorithms for quantum amplitude estimation
Arxiv
arXiv
November 2020
Prospects and challenges of quantum finance
Arxiv
arXiv
July 2020
Quantum Expectation-Maximization for Gaussian Mixture Models
International Conference on Machine Learning [ICML]
arXiv
June 2020
Quantum classification of the MNIST dataset via Slow Feature Analysis
Physical Review A
arXiv
June 2020
Inhomogeneous driving in quantum annealers can result in orders-of-magnitude improvements in performance
Quantum Science and Technology
arXiv
April 2020
Quantum Algorithms for Deep Convolutional Neural Networks
International Conference on Learning Representations
arXiv
February 2020
Quantum gradient descent for linear systems and least squares
Physical Review A
arXiv
December 2019
q-means: A quantum algorithm for unsupervised machine learning
Neural Information Processing Systems
arXiv
October 2019
A Quantum Interior Point Method for LPs and SDPs
ACM Transactions on Quantum Computing
arXiv
October 2019
Quantum Algorithms for Portfolio Optimization
ACM Advances in Financial Technologies
arXiv
September 2019
Quantum Filter Diagonalization: Quantum Eigendecomposition without Full Quantum Phase Estimation
Arxiv
arXiv
July 2019
Readiness of quantum optimization machines for industrial applications
Physical Review Applied
arXiv
June 2019
Quantum Computation of Electronic Transitions Using a Variational Quantum Eigensolver
Physical Review Letters
arXiv
June 2019
Hybrid Quantum/Classical Derivative Theory: Analytical Gradients and Excited-State Dynamics for the Multistate Contracted Variational Quantum Eigensolver
Arxiv
arXiv
April 2019
Decoherence of up to 8-qubit entangled states in a 16-qubit superconducting quantum processor
Quantum Science and Technology
arXiv
April 2019
A Jacobi Diagonalization and Anderson Acceleration Algorithm For Variational Quantum Algorithm Parameter Optimization
Arxiv
arXiv
December 2018
Quantum algorithms for feedforward neural networks
ACM Transactions on Quantum Computing
arXiv
October 2018
On the complexity and verification of quantum random circuit sampling
Nature Physics
arXiv
September 2016
Quantum Recommendation Systems
arXiv
arXiv
September 2021
Short Quantum Circuits in Reinforcement Learning Policies for the Vehicle Routing Problem
Arxiv
arXiv
September 2021
Improving quantum linear system solvers via a gradient descent perspective
arXiv
arXiv
September 2021
Medical image classification via quantum neural networks
Arxiv
arXiv
August 2021
Nearest Centroid Classification on a Trapped Ion Quantum Computer
Nature
arXiv
June 2021
Classical and Quantum Algorithms for Orthogonal Neural Networks
arXiv
arXiv
April 2021
Quantum Spectral Clustering
Physical Review A
arXiv
April 2021
Quantum algorithms for Second-Order Cone Programming and Support Vector Machines
Quantum
arXiv
February 2021
Experimental demonstration of quantum advantage for NP verification with limited information
Nature Communications
arXiv
November 2020
Prospects and challenges of quantum finance
Arxiv
arXiv
July 2020
Quantum Expectation-Maximization for Gaussian Mixture Models
International Conference on Machine Learning [ICML]
arXiv
June 2020
Quantum classification of the MNIST dataset via Slow Feature Analysis
Physical Review A
arXiv
April 2020
Quantum Algorithms for Deep Convolutional Neural Networks
International Conference on Learning Representations
arXiv
February 2020
Quantum gradient descent for linear systems and least squares
Physical Review A
arXiv
December 2019
q-means: A quantum algorithm for unsupervised machine learning
Neural Information Processing Systems
arXiv
December 2018
Quantum algorithms for feedforward neural networks
ACM Transactions on Quantum Computing
arXiv
September 2016
Quantum Recommendation Systems
arXiv
arXiv
September 2021
Instance Independence of Single Layer Quantum Approximate Optimization Algorithm on Mixed-Spin Models at Infinite Size
Quantum
arXiv
August 2021
Quantum Optimization Heuristics with an Application to Knapsack Problems
Arxiv
arXiv
December 2020
Expectation Values from the Single-Layer Quantum Approximate Optimization Algorithm on Ising Problems
Arxiv
arXiv
November 2020
Prospects and challenges of quantum finance
Arxiv
arXiv
June 2020
Inhomogeneous driving in quantum annealers can result in orders-of-magnitude improvements in performance
Quantum Science and Technology
arXiv
October 2019
A Quantum Interior Point Method for LPs and SDPs
ACM Transactions on Quantum Computing
arXiv
October 2019
Quantum Algorithms for Portfolio Optimization
ACM Advances in Financial Technologies
arXiv
October 2021
Analytical Ground- and Excited-State Gradients for Molecular Electronic Structure Theory from Hybrid Quantum/Classical Methods
Arxiv
arXiv
October 2021
Towards the Simulation of Large Scale Protein-Ligand Interactions on NISQ-era Quantum Computers
Arxiv
arXiv
April 2021
Quantum Filter Diagonalization with Double-Factorized Hamiltonians
Arxiv
arXiv
April 2021
Local Expressive Quantum-Number-Preserving VQE Ansatze for Fermionic Systems
Arxiv
arXiv
September 2019
Quantum Filter Diagonalization: Quantum Eigendecomposition without Full Quantum Phase Estimation
Arxiv
arXiv
June 2019
Quantum Computation of Electronic Transitions Using a Variational Quantum Eigensolver
Physical Review Letters
arXiv
June 2019
Hybrid Quantum/Classical Derivative Theory: Analytical Gradients and Excited-State Dynamics for the Multistate Contracted Variational Quantum Eigensolver
Arxiv
arXiv
April 2019
A Jacobi Diagonalization and Anderson Acceleration Algorithm For Variational Quantum Algorithm Parameter Optimization
Arxiv
arXiv
September 2021
Low depth amplitude estimation on a trapped ion quantum computer
Arxiv
arXiv
December 2020
Low depth algorithms for quantum amplitude estimation
Arxiv
arXiv
July 2019
Readiness of quantum optimization machines for industrial applications
Physical Review Applied
arXiv
April 2019
Decoherence of up to 8-qubit entangled states in a 16-qubit superconducting quantum processor
Quantum Science and Technology
arXiv
October 2018
On the complexity and verification of quantum random circuit sampling
Nature Physics
arXiv