DEEP QUANTUM

DEEP QUANTUM

Bachelor's

Saved in:

Bibliographic Details
Main Author:	MY DUY HOANG LONG
Other Authors:	ELECTRICAL AND COMPUTER ENGINEERING
Format:	Theses and Dissertations
Published:	2021
Subjects:	quantum many-body finding ground energy neural network restricted Boltzmann machine contrastive divergence
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/190180
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

Similar Items

MACHINE LEARNING PHASES OF MATTER IN OPEN QUANTUM SYSTEMS
by: LI ZEJIAN
Published: (2020)

CLASSICAL-QUANTUM DIVERGENCES IN STRUCTURAL COMPLEXITIES OF MANY-BODY SYSTEMS
by: SUEN WHEI YEAP
Published: (2019)

DEEP NEURAL NETWORKS
by: BENJAMIN FRANCK CHRISTOPHE SCELLIER
Published: (2015)

Ultracold atoms for simulation of many body quantum systems
by: Hutchinson, D.A.W
Published: (2020)

Local reversibility and entanglement structure of many-body ground states
by: Kuwahara, T, et al.
Published: (2020)

TOWARDS QUANTUM SIMULATION WITH INTERACTING PHOTONS IN SUPERCONDUCTING CIRCUITS
by: JIRAWAT TANGPANITANON
Published: (2019)

EMERGENT PHENOMENA IN LOW DIMENSIONAL MANY-BODY NON-EQUILIBRIUM SYSTEMS
by: MU SEN
Published: (2021)

Topological order in 1D Cluster state protected by symmetry
by: Son, W., et al.
Published: (2014)

MANY-BODY LOCALIZED EIGENSTATES AND SCALABLE QUANTUM COMPUTATION OF HAMILTONIAN SPECTRA
by: CHIEW SHAO HEN
Published: (2023)

Temperature based restricted boltzmann machines
by: Li, Guoqi, et al.
Published: (2018)

TRANSFER LEARNING FOR NEURAL-NETWORK QUANTUM STATES
by: REMMY AUGUSTA MENZATA ZEN
Published: (2022)

PARALLEL ASSEMBLY OF DEFECT-FREE RYDBERG ATOM ARRAYS FOR QUANTUM SIMULATION
by: TIAN WEIKUN
Published: (2024)

Probabilistic graphical approaches for learning, modeling, and sampling in evolutionary multi-objective optimization
by: Shim, V.A., et al.
Published: (2014)

Reconstructing quantum states with quantum reservoir networks
by: Ghosh, Sanjib, et al.
Published: (2021)

Eliminating on the divergences o f the photon self - energy diagram in (2+1) dimensional quantum electrodynamics
by: Nguyen, Suan Han, et al.
Published: (2017)

Creating and concentrating quantum resource states in noisy environments using a quantum neural network
by: Krisnanda, Tanjung, et al.
Published: (2022)

Boltzmann machines that learn to recognize patterns on control charts
by: Hwarng, H.B., et al.
Published: (2013)

CONTROL OF DYNAMICS IN RYDBERG ATOM ARRAYS
by: ZHAO LUHENG
Published: (2024)

Quantum neuromorphic platform for quantum state preparation
by: Ghosh, Sanjib, et al.
Published: (2020)

Witnessing quantum coherence in the presence of noise
by: Monras, A, et al.
Published: (2020)

The roles of Kerr nonlinearity in a bosonic quantum neural network
by: Xu, Huawen, et al.
Published: (2023)

Evolutionary multi-objective optimization using neural-based estimation of distribution algorithms
by: SHIM VUI ANN
Published: (2012)

Probabilistic based evolutionary optimizers in bi-objective travelling salesman problem
by: Shim, V.A., et al.
Published: (2014)

Enhancing the scalability of multi-objective optimization via restricted Boltzmann machine-based estimation of distribution algorithm
by: Shim, V.A., et al.
Published: (2014)

STUDY OF ELECTRONIC STRUCTURES AND CORRELATIONS IN GRAPHENE USING OPTICAL SPECTROSCOPIES
by: PRANJAL KUMAR GOGOI
Published: (2013)

Quantum reservoir processing
by: Ghosh, Sanjib, et al.
Published: (2019)

Quantum simulation of non-trivial topology
by: Boada, O, et al.
Published: (2020)

Predicting Drought Indices in Nakhon Ratchasima Province using a Deep Belief Network with Restricted Boltzmann Machines
by: Sureeluk, Ma
Published: (2019)

AN ACCURATE DESCRIPTION OF WATER USING THE MANY-BODY EXPANSION AND PERTURBATION THEORY
by: OUYANG FENGCONG JOHN
Published: (2017)

The effect of molecular shape on oligomerization of hydrophobic drugs : molecular simulations of ciprofloxacin and nutlin
by: Li, Jianguo, et al.
Published: (2019)

TOPOLOGICAL CHARACTERIZATION OF NONLINEAR QUANTUM SYSTEMS
by: THOMAS PAUL JACQUES TULOUP
Published: (2023)

Representation learning for homophilic preferences
by: NGUYEN, Trong T., et al.
Published: (2016)

Evolutionary algorithms for solving multi-objective travelling salesman problem
by: Shim, V.A., et al.
Published: (2014)

LEARNING DEEP REPRESENTATIONS: PLATFORM AND ALGORITHMS
by: LIN MIN
Published: (2016)

Applications of neural networks to the simulation of dynamics of open quantum systems
by: Bandyopadhyay, Sayantan, et al.
Published: (2020)

ANALOG QUANTUM SIMULATORS FOR QUANTUM ADVANTAGE AND QUANTUM MACHINE LEARNING
by: THANASILP SUPANUT
Published: (2023)

A Variational Perturbative Approach to the Impurity Magnetopolarons in Parabolic Quantum Wires
by: Au-Yeung, T.C., et al.
Published: (2016)

Quantum Boltzmann equation for strongly correlated systems : comparison to dynamical mean field theory
by: Wais, M., et al.
Published: (2018)

VIOLET: Visual Analytics for Explainable Quantum Neural Networks
by: RUAN, Shaolun, et al.
Published: (2024)

Multi-objective optimization with estimation of distribution algorithm in a noisy environment
by: Shim, V.A., et al.
Published: (2014)