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07/26/2023
Dense outputs from quantum simulations
The quantum dense output problem is the process of evaluating time-accum...
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07/24/2023
Robust iterative method for symmetric quantum signal processing in all parameter regimes
This paper addresses the problem of solving nonlinear systems in the con...
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04/06/2023
Origin of inverse volume scaling in periodic coupled cluster calculations towards thermodynamic limit
Coupled cluster theory is considered to be the “gold standard” ansatz of...
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03/22/2023
Anti-symmetric Barron functions and their approximation with sums of determinants
A fundamental problem in quantum physics is to encode functions that are...
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03/21/2023
Convergence of stochastic gradient descent on parameterized sphere with applications to variational Monte Carlo simulation
We analyze stochastic gradient descent (SGD) type algorithms on a high-d...
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03/02/2023
Linear combination of Hamiltonian simulation for non-unitary dynamics with optimal state preparation cost
We propose a simple method for simulating a general class of non-unitary...
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02/24/2023
Personalized Pricing with Invalid Instrumental Variables: Identification, Estimation, and Policy Learning
Pricing based on individual customer characteristics is widely used to m...
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02/13/2023
Finite-size effects in periodic coupled cluster calculations
We provide the first rigorous study of the finite-size error in the simp...
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10/06/2022
Probabilistic Model Incorporating Auxiliary Covariates to Control FDR
Controlling False Discovery Rate (FDR) while leveraging the side informa...
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09/21/2022
Infinite quantum signal processing
Quantum signal processing (QSP) represents a real scalar polynomial of d...
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08/14/2022
Time-marching based quantum solvers for time-dependent linear differential equations
The time-marching strategy, which propagates the solution from one time ...
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05/24/2022
Taming the sign problem of explicitly antisymmetrized neural networks via rough activation functions
Explicit antisymmetrization of a two-layer neural network is a potential...
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04/12/2022
Ground state preparation and energy estimation on early fault-tolerant quantum computers via quantum eigenvalue transformation of unitary matrices
Under suitable assumptions, the algorithms in [Lin, Tong, Quantum 2020] ...
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03/30/2022
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits
Variational quantum algorithms stand at the forefront of simulations on ...
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03/19/2022
Explicit Quantum Circuits for Block Encodings of Certain Sparse Matrices
Many standard linear algebra problems can be solved on a quantum compute...
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02/15/2022
Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based Model
Depression is a global mental health problem, the worst case of which ca...
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01/20/2022
Lecture Notes on Quantum Algorithms for Scientific Computation
This is a set of lecture notes used in a graduate topic class in applied...
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12/07/2021
Explicitly antisymmetrized neural network layers for variational Monte Carlo simulation
The combination of neural networks and quantum Monte Carlo methods has a...
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11/04/2021
Time-dependent Hamiltonian Simulation of Highly Oscillatory Dynamics
We propose a simple quantum algorithm for simulating highly oscillatory ...
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10/25/2021
Integrative Clustering of Multi-View Data by Nonnegative Matrix Factorization
Learning multi-view data is an emerging problem in machine learning rese...
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10/14/2021
A Theory of Quantum Subspace Diagonalization
Quantum subspace diagonalization methods are an exciting new class of al...
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10/11/2021
On the energy landscape of symmetric quantum signal processing
Symmetric quantum signal processing provides a parameterized representat...
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09/25/2021
Staggered mesh method for correlation energy calculations of solids: Random phase approximation in direct ring coupled cluster doubles and adiabatic connection formalisms
We propose a staggered mesh method for correlation energy calculations o...
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08/05/2021
Mixture of Linear Models Co-supervised by Deep Neural Networks
Deep neural network (DNN) models have achieved phenomenal success for ap...
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07/31/2021
Unified analysis of finite-size error for periodic Hartree-Fock and second order Møller-Plesset perturbation theory
Despite decades of practice, finite-size errors in many widely used elec...
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05/31/2021
Parallel transport dynamics for mixed quantum states with applications to time-dependent density functional theory
Direct simulation of the von Neumann dynamics for a general (pure or mix...
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02/18/2021
Staggered mesh method for correlation energy calculations of solids: Second order Møller-Plesset perturbation theory
The calculation of the MP2 correlation energy for extended systems can b...
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01/24/2021
NeurT-FDR: Controlling FDR by Incorporating Feature Hierarchy
Controlling false discovery rate (FDR) while leveraging the side informa...
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12/24/2020
Time-dependent unbounded Hamiltonian simulation with vector norm scaling
The accuracy of quantum dynamics simulation is usually measured by the e...
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12/12/2020
Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks
Variational quantum eigensolvers have recently received increased attent...
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10/15/2020
Towards sharp error analysis of extended Lagrangian molecular dynamics
The extended Lagrangian molecular dynamics (XLMD) method provides a usef...
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10/11/2020
Efficient Long-Range Convolutions for Point Clouds
The efficient treatment of long-range interactions for point clouds is a...
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10/07/2020
Reinforcement Learning for Many-Body Ground State Preparation based on Counter-Diabatic Driving
The Quantum Approximate Optimization Ansatz (QAOA) is a prominent exampl...
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08/30/2020
Fast inversion, preconditioned quantum linear system solvers, and fast evaluation of matrix functions
Preconditioning is the most widely used and effective way for treating i...
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06/07/2020
Random circuit block-encoded matrix and a proposal of quantum LINPACK benchmark
The LINPACK benchmark reports the performance of a computer for solving ...
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05/11/2020
Deep Latent Variable Model for Longitudinal Group Factor Analysis
In many scientific problems such as video surveillance, modern genomic a...
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04/24/2020
86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy
We present the GPU version of DeePMD-kit, which, upon training a deep ne...
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02/28/2020
Near-optimal ground state preparation
Preparing the ground state of a given Hamiltonian and estimating its gro...
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02/24/2020
Learning the mapping x∑_i=1^d x_i^2: the cost of finding the needle in a haystack
The task of using machine learning to approximate the mapping x∑_i=1^d x...
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02/19/2020
Split representation of adaptively compressed polarizability operator
The polarizability operator plays a central role in density functional p...
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02/04/2020
Policy Gradient based Quantum Approximate Optimization Algorithm
The quantum approximate optimization algorithm (QAOA), as a hybrid quant...
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12/21/2019
Numerical solution of large scale Hartree-Fock-Bogoliubov equations
The Hartree-Fock-Bogoliubov (HFB) theory is the starting point for treat...
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12/07/2019
Deep Variable-Block Chain with Adaptive Variable Selection
The architectures of deep neural networks (DNN) rely heavily on the unde...
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12/04/2019
Universal approximation of symmetric and anti-symmetric functions
We consider universal approximations of symmetric and anti-symmetric fun...
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11/27/2019
Deep Density: circumventing the Kohn-Sham equations via symmetry preserving neural networks
The recently developed Deep Potential [Phys. Rev. Lett. 120, 143001, 201...
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10/31/2019
Solving quantum linear system problem with near-optimal complexity
We present a simple algorithm to solve the quantum linear system problem...
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10/01/2019
Variational embedding for quantum many-body problems
Quantum embedding theories are powerful tools for approximately solving ...
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09/12/2019
Quantum linear system solver based on time-optimal adiabatic quantum computing and quantum approximate optimization algorithm
We demonstrate that with an optimally tuned scheduling function, adiabat...
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09/05/2019
Low-rank representation of tensor network operators with long-range pairwise interactions
Tensor network operators, such as the matrix product operator (MPO) and ...
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11/07/2018
