krishnakumarsekar•Mar 27, 2025
awesome-quantum-machine-learning
Awesome Quantum Machine Learning
A curated list of awesome quantum machine learning algorithms,study materials,libraries and software (by language).
Table of Contents
INTRODUCTION
Why Quantum Machine Learning?
BASICS
What is Quantum Mechanics?
What is Quantum Computing?
What is Topological Quantum Computing?
Quantum Computing vs Classical Computing
QUANTUM COMPUTING
Atom Structure
Photon wave
Electron Fluctuation or spin
States
SuperPosition
SuperPosition specific for machine learning(Quantum Walks)
Classical Bit
Quantum Bit or Qubit or Qbit
Basic Gates in Quantum Computing
Quantum Diode
Quantum Transistor
Quantum Processor
Quantum Registery QRAM
Quantum Entanglement
QUANTUM COMPUTING MACHINE LEARNING BRIDGE
Complex Numbers
Tensors
Tensors Network
Oracle
Hadamard transform
Hilbert Space
eigenvalues and eigenvectors
Schr¨odinger Operators
Quantum lambda calculus
Quantum Amplitute Phase
Qubits Encode and Decode
convert classical bit to qubit
Quantum Dirac and Kets
Quantum Complexity
Arbitrary State Generation
QUANTUM ALGORITHMS
Quantum Fourier Transform
Variational-Quantum-Eigensolver
Grovers Algorithm
Shor's algorithm
Hamiltonian Oracle Model
Bernstein-Vazirani Algorithm
Simon’s Algorithm
Deutsch-Jozsa Algorithm
Gradient Descent
Phase Estimation
Haar Tansform
Quantum Ridgelet Transform
Quantum NP Problem
QUANTUM MACHINE LEARNING ALGORITHMS
Quantum K-Nearest Neighbour
Quantum K-Means
Quantum Fuzzy C-Means
Quantum Support Vector Machine
Quantum Genetic Algorithm
Quantum Hidden Morkov Models
Quantum state classification with Bayesian methods
Quantum Ant Colony Optimization
Quantum Cellular Automata
Quantum Classification using Principle Component Analysis
Quantum Inspired Evolutionary Algorithm
Quantum Approximate Optimization Algorithm
Quantum Elephant Herding Optimization
Quantum-behaved Particle Swarm Optimization
Quantum Annealing Expectation-Maximization
QAUNTUM NEURAL NETWORK
Quantum perceptrons
Qurons
Quantum Auto Encoder
Quantum Annealing
Photonic Implementation of Quantum Neural Network
Quantum Feed Forward Neural Network
Quantum Boltzman Neural Network
Quantum Neural Net Weight Storage
Quantum Upside Down Neural Net
Quantum Hamiltonian Neural Net
QANN
QPN
SAL
Quantum Hamiltonian Learning
Compressed Quantum Hamiltonian Learning
QAUNTUM STATISTICAL DATA ANALYSIS
Quantum Probability Theory
Kolmogorovian Theory
Quantum Measurement Problem
Intuitionistic Logic
Heyting Algebra
Quantum Filtering
Paradoxes
Quantum Stochastic Process
Double Negation
Quantum Stochastic Calculus
Hamiltonian Calculus
Quantum Ito's Formula
Quantum Stochastic Differential Equations(QSDE)
Quantum Stochastic Integration
Itō Integral
Quasiprobability Distributions
Quantum Wiener Processes
Quantum Statistical Ensemble
Quantum Density Operator or Density Matrix
Gibbs Canonical Ensemble
Quantum Mean
Quantum Variance
Envariance
Polynomial Optimization
Quadratic Unconstrained Binary Optimization
Quantum Gradient Descent
Quantum Based Newton's Method for Constrained Optimization
Quantum Based Newton's Method for UnConstrained Optimization
Quantum Ensemble
Quantum Topology
Quantum Topological Data Analysis
Quantum Bayesian Hypothesis
Quantum Statistical Decision Theory
Quantum Minimax Theorem
Quantum Hunt-Stein Theorem
Quantum Locally Asymptotic Normality
Quantum Ising Model
Quantum Metropolis Sampling
Quantum Monte Carlo Approximation
Quantum Bootstrapping
Quantum Bootstrap Aggregation
Quantum Decision Tree Classifier
Quantum Outlier Detection
Cholesky-Decomposition for Quantum Chemistry
Quantum Statistical Inference
Asymptotic Quantum Statistical Inference
Quantum Gaussian Mixture Modal
Quantum t-design
Quantum Central Limit Theorem
Quantum Hypothesis Testing
Quantum Chi-squared and Goodness of Fit Testing
Quantum Estimation Theory
Quantum Way of Linear Regression
Asymptotic Properties of Quantum
Outlier Detection in Quantum Concepts
QAUNTUM ARTIFICIAL INTELLIGENCE
Heuristic Quantum Mechanics
Consistent Quantum Reasoning
Quantum Reinforcement Learning
QAUNTUM COMPUTER VISION
QUANTUM PROGRAMMING LANGUAGES , TOOLs and SOFTWARES
ALL
QUANTUM ALGORITHMS SOURCE CODES , GITHUBS
QUANTUM HOT TOPICS
Quantum Cognition
Quantum Camera
Quantum Mathematics
Quantum Information Processing
Quantum Image Processing
Quantum Cryptography
Quantum Elastic Search
Quantum DNA Computing
Adiabetic Quantum Computing
Topological Big Data Anlytics using Quantum
Hamiltonian Time Based Quantum Computing
Deep Quantum Learning
Quantum Tunneling
Quantum Entanglment
Quantum Eigen Spectrum
Quantum Dots
Quantum elctro dynamics
Quantum teleportation
Quantum Supremacy
Quantum Zeno Effect
Quantum Cohomology
Quantum Chromodynamics
Quantum Darwinism
Quantum Coherence
Quantum Decoherence
Topological Quantum Computing
Topological Quantum Field Theory
Quantum Knots
Topological Entanglment
Boson Sampling
Quantum Convolutional Code
Stabilizer Code
Quantum Chaos
Quantum Game Theory
Quantum Channel
Tensor Space Theory
Quantum Leap
Quantum Mechanics for Time Travel
Quantum Secured Block Chain
Quantum Internet
Quantum Optical Network
Quantum Interference
Quantum Optical Network
Quantum Operating System
Electron Fractionalization
Flip-Flop Quantum Computer
Quantum Information with Gaussian States
Quantum Anomaly Detection
Distributed Secure Quantum Machine Learning
Decentralized Quantum Machine Learning
Artificial Agents for Quantum Designs
Light Based Quantum Chips for AI Training
QUANTUM STATE PREPARATION ALGORITHM FOR MACHINE LEARNING
Pure Quantum State
Product State
Matrix Product State
Greenberger–Horne–Zeilinger State
W state
AKLT model
Majumdar–Ghosh Model
Multistate Landau–Zener Models
Projected entangled-pair States
Infinite Projected entangled-pair States
Corner Transfer Matrix Method
Tensor-entanglement Renormalization
Tree Tensor Network for Supervised Learning
QUANTUM MACHINE LEARNING VS DEEP LEARNING
QUANTUM MEETUPS
QUANTUM GOOGLE GROUPS
QUANTUM BASED COMPANIES
QUANTUM LINKEDLIN
QUANTUM BASED DEGREES
CONSOLIDATED QUANTUM ML BOOKS
CONSOLIDATED QUANTUM ML VIDEOS
CONSOLIDATED QUANTUM ML Reserach Papers
CONSOLIDATED QUANTUM ML Reserach Scientist
RECENT QUANTUM UPDATES FORUM ,PAGES AND NEWSLETTER
INTRODUCTION
Why Quantum Machine Learning?
Machine Learning(ML) is just a term in recent days but the work effort start from 18th century.
What is Machine Learning ? , In Simple word the answer is making the computer or application to learn themselves . So its totally related with computing fields like computer science and IT ? ,The answer is not true . ML is a common platform which is mingled in all the aspects of the life from agriculture to mechanics . Computing is a key component to use ML easily and effectively . To be more clear ,Who is the mother of ML ?, As no option Mathematics is the mother of ML . The world tremendous invention complex numbers given birth to this field . Applying mathematics to the real life problem always gives a solution . From Neural Network to the complex DNA is running under some specific mathematical formulas and theorems.
As computing technology growing faster and faster mathematics entered into this field and makes the solution via computing to the real world . In the computing technology timeline once a certain achievements reached peoples interested to use advanced mathematical ideas such as complex numbers ,eigen etc and its the kick start for the ML field such as Artificial Neural Network ,DNA Computing etc.
Now the main question, why this field is getting boomed now a days ? , From the business perspective , 8-10 Years before during the kick start time for ML ,the big barrier is to merge mathematics into computing field . people knows well in computing has no idea on mathematics and research mathematician has no idea on what is computing . The education as well as the Job Opportunities is like that in that time . Even if a person tried to study both then the business value for making a product be not good.
Then the top product companies like Google ,IBM ,Microsoft decided to form a team with mathematician ,a physician and a computer science person to come up with various ideas in this field . Success of this team made some wonderful products and they started by providing cloud services using this product . Now we are in this stage.
So what's next ? , As mathematics reached the level of time travel concepts but the computing is still running under classical mechanics . the companies understood, the computing field must have a change from classical to quantum, and they started working on the big Quantum computing field, and the market named this field as Quantum Information Science .The kick start is from Google and IBM with the Quantum Computing processor (D-Wave) for making Quantum Neural Network .The field of Quantum Computer Science and Quantum Information Science will do a big change in AI in the next 10 years. Waiting to see that........... .(google, ibm).
References
D-Wave - Owner of a quantum processor
Google - Quantum AI Lab
IBM - Quantum Computer Lab
Quora - Question Regarding future of quantum AI
NASA - NASA Quantum Works
Youtube - Google Video of a Quantum Processor
external-link - MIT Review
microsoft new product - Newly Launched Microsoft Quantum Language and Development Kit
microsoft - Microsoft Quantum Related Works
Google2 - Google Quantum Machine Learning Blog
BBC - About Google Quantum Supremacy,IBM Quantum Computer and Microsoft Q
Google Quantum Supremacy - Latest 2019 Google Quantum Supremacy Achievement
IBM Quantum Supremacy - IBM Talk on Quantum Supremacy as a Primer
VICE on the fight - IBM Message on Google Quantum Supremacy
IBM Zurich Quantum Safe Cryptography - An interesting startup to replace all our Certificate Authority Via Cloud and IBM Q
BASICS
What is Quantum Mechanics?
In a single line study of an electron moved out of the atom then its classical mechanic ,vibrates inside the atom its quantum mechanics
WIKIPEDIA - Basic History and outline
LIVESCIENCE. - A survey
YOUTUBE - Simple Animation Video Explanining Great.
What is Quantum Computing?
A way of parallel execution of multiple processess in a same time using qubit ,It reduces the computation time and size of the processor probably in neuro size
WIKIPEDIA - Basic History and outline
WEBOPEDIA. - A survey
YOUTUBE - Simple Animation Video Explanining Great.
Quantum Computing vs Classical Computing
LINK - Basic outline
Quantum Computing
Atom Structure
one line : Electron Orbiting around the nucleous in an eliptical format
YOUTUBE - A nice animation video about the basic atom structure
Photon Wave
one line : Light nornmally called as wave transmitted as photons as similar as atoms in solid particles
YOUTUBE - A nice animation video about the basic photon 1
YOUTUBE - A nice animation video about the basic photon 2
Electron Fluctuation or spin
one line : When a laser light collide with solid particles the electrons of the atom will get spin between the orbitary layers of the atom
)
YOUTUBE - A nice animation video about the basic Electron Spin 1
YOUTUBE - A nice animation video about the basic Electron Spin 2
YOUTUBE - A nice animation video about the basic Electron Spin 3
States
one line : Put a point on the spinning electron ,if the point is in the top then state 1 and its in bottom state 0
YOUTUBE - A nice animation video about the Quantum States
SuperPosition
two line : During the spin of the electron the point may be in the middle of upper and lower position, So an effective decision needs to take on the point location either 0 or 1 . Better option to analyse it along with other electrons using probability and is called superposition
YOUTUBE - A nice animation video about the Quantum Superposition
SuperPosition specific for machine learning(Quantum Walks)
one line : As due to computational complexity ,quantum computing only consider superposition between limited electrons ,In case to merge more than one set quantum walk be the idea
YOUTUBE - A nice video about the Quantum Walks
Classical Bits
one line : If electron moved from one one atom to other ,from ground state to excited state a bit value 1 is used else bit value 0 used
Qubit
one line : The superposition value of states of a set of electrons is Qubit
YOUTUBE - A nice video about the Quantum Bits 1
YOUTUBE - A nice video about the Bits and Qubits 2
Basic Gates in Quantum Computing
one line : As like NOT, OR and AND , Basic Gates like NOT, Hadamard gate , SWAP, Phase shift etc can be made with quantum gates
YOUTUBE - A nice video about the Quantum Gates
Quantum Diode
one line : Quantum Diodes using a different idea from normal diode, A bunch of laser photons trigger the electron to spin and the quantum magnetic flux will capture the information
YOUTUBE - A nice video about the Quantum Diode
Quantum Transistors
one line : A transistor default have Source ,drain and gate ,Here source is photon wave ,drain is flux and gate is classical to quantum bits
QUORA -Discussion about the Quantum Transistor
YOUTUBE - Well Explained
Quantum Processor
one line : A nano integration circuit performing the quantum gates operation sorrounded by cooling units to reduce the tremendous amount of heat
YOUTUBE - Well Explained
Quantum Registery QRAM
one line : Comapring the normal ram ,its ultrafast and very small in size ,the address location can be access using qubits superposition value ,for a very large memory set coherent superposition(address of address) be used
PDF - very Well Explained
QUANTUM COMPUTING MACHINE LEARNING BRIDGE
Complex Numbers
one line : Normally Waves Interference is in n dimensional structure , to find a polynomial equation n order curves ,better option is complex number
YOUTUBE - Wonderful Series very super Explained
Tensors
one line : Vectors have a direction in 2D vector space ,If on a n dimensional vector space ,vectors direction can be specify with the tensor ,The best solution to find the superposition of a n vector electrons spin space is representing vectors as tensors and doing tensor calculus
YOUTUBE - Wonderful super Explained tensors basics
YOUTUBE - Quantum tensors basics
Tensors Network
one line : As like connecting multiple vectors ,multple tensors form a network ,solving such a network reduce the complexity of processing qubits
YOUTUBE - Tensors Network Some ideas specifically for quantum algorithms
QUANTUM MACHINE LEARNING ALGORITHMS
Quantum K-Nearest Neighbour
info : Here the centroid(euclidean distance) can be detected using the swap gates test between two states of the qubit , As KNN is regerssive loss can be tally using the average
PDF1 from Microsoft - Theory Explanation
PDF2 - A Good Material to understand the basics
Matlab - Yet to come soon
Python - Yet to come soon
Quantum K-Means
info : Two Approaches possible ,1. FFT and iFFT to make an oracle and calculate the means of superposition 2. Adiobtic Hamiltonian generation and solve the hamiltonian to determine the cluster
PDF1 - Applying Quantum Kmeans on Images in a nice way
PDF2 - Theory
PDF3 - Explaining well the K-means clustering using hamiltonian
Matlab - Yet to come soon
Python - Yet to come soon
Quantum Fuzzy C-Means
info : As similar to kmeans fcm also using the oracle dialect ,but instead of means,here oracle optimization followed by a rotation gate is giving a good result
PDF1 - Theory
Matlab - Yet to come soon
Python - Yet to come soon
Quantum Support Vector Machine
info : A little different from above as here kernel preparation is via classical and the whole training be in oracles and oracle will do the classification, As SVM is linear ,An optimal Error(Optimum of the Least Squares Dual Formulation) Based regression is needed to improve the performance
PDF1 - Nice Explanation but little hard to understand :)
PDF2 - Nice Application of QSVM
Matlab - Yet to come soon
Python - Yet to come soon
Quantum Genetic Algorithm
info : One of the best algorithm suited for Quantum Field ,Here the chromosomes act as qubit vectors ,the crossover part carrying by an evaluation and the mutation part carrying by the rotation of gates
![Flow Chart]()
PDF1 - Very Beautiful Article , well explained and superp
PDF2 - A big theory :)
PDF3 - Super Comparison
Matlab - Simulation
Python1 - Simulation
Python2 - Yet to come
Quantum Hidden Morkov Models
info : As HMM is already state based ,Here the quantum states acts as normal for the markov chain and the shift between states is using quantum operation based on probability distribution
![Flow Chart]()
PDF1 - Nice idea and explanation
PDF2 - Nice but a different concept little
Matlab - Yet to come
Python1 - Yet to come
Python2 - Yet to come
Quantum state classification with Bayesian methods
info : Quantum Bayesian Network having the same states concept using quantum states,But here the states classification to make the training data as reusable is based on the density of the states(Interference)
![Bayesian Network Sample1]()
![Bayesian Network Sample2]()
![Bayesian Network Sample3]()
PDF1 - Good Theory
PDF2 - Good Explanation
Matlab - Yet to come
Python1 - Yet to come
Python2 - Yet to come
Quantum Ant Colony Optimization
info : A good algorithm to process multi dimensional equations, ACO is best suited for Sales man issue , QACO is best suited for Sales man in three or more dimension, Here the quantum rotation circuit is doing the peromene update and qubits based colony communicating all around the colony in complex space
![Ant Colony Optimization 1]()
PDF1 - Good Concept
PDF2 - Good Application
Matlab - Yet to come
Python1 - Yet to come
Python2 - Yet to come
Quantum Cellular Automata
info : One of the very complex algorithm with various types specifically used for polynomial equations and to design the optimistic gates for a problem, Here the lattice is formed using the quatum states and time calculation is based on the change of the state between two qubits ,Best suited for nano electronics
![Quantum Cellular Automata]()
Wikipedia - Basic
PDF1 - Just to get the keywords
PDF2 - Nice Explanation and an easily understandable application
Matlab - Yet to come
Python1 - Yet to come
Python2 - Yet to come
QAUNTUM NEURAL NETWORK
one line : Its really one of the hardest topic , To understand easily ,Normal Neural Network is doing parallel procss ,QNN is doing parallel of parallel processess ,In theory combination of various activation functions is possible in QNN ,In Normal NN more than one activation function reduce the performance and increase the complexity
Quantum perceptrons
info : Perceptron(layer) is the basic unit in Neural Network ,The quantum version of perceptron must satisfy both linear and non linear problems , Quantum Concepts is combination of linear(calculus of superposition) and nonlinear(State approximation using probability) ,To make a perceptron in quantum world ,Transformation(activation function) of non linearity to certain limit is needed ,which is carrying by phase estimation algorithm
![Quantum Perceptron 3]()
PDF1 - Good Theory
PDF2 - Good Explanation
Matlab - Yet to come
Python1 - Yet to come
Python2 - Yet to come
QAUNTUM STATISTICAL DATA ANALYSIS
one line : An under research concept ,It can be seen in multiple ways, one best way if you want to apply n derivative for a problem in current classical theory its difficult to compute as its serialization problem instead if you do parallelization of differentiation you must estimate via probability the value in all flows ,Quantum Probability Helps to achieve this ,as the loss calculation is very less . the other way comparatively booming is Quantum Bayesianism, its a solution to solve most of the uncertainity problem in statistics to combine time and space in highly advanced physical research
QUANTUM PROGRAMMING LANGUAGES , TOOLs and SOFTWARES
All
info : All Programming languages ,softwares and tools in alphabetical order
Software - Nice content of all
Python library - A python library
Matlab based python library - Matlab Python Library
Quantum Tensor Network Github - Tensor Network
Bayesforge - A Beautiful Amazon Web Service Enabled Framework for Quantum Alogorithms and Data Analytics
Rigetti - A best tools repository to use quantum computer in real time
Rigetti Forest - An API to connect Quantum Computer
quil/pyQuil - A quantum instruction language to use forest framework
Grove - Grove is a repository to showcase quantum Fourier transform, phase estimation, the quantum approximate optimization algorithm, and others developed using Forest
QISKit - A IBM Kit to access quantum computer and mainly for quantum circuits
IBM Bluemix Simulator - A Bluemix Simulator for Quantum Circuits
Microsoft Quantum Development Kit - Microsoft Visual Studio Enbaled Kit for Quantum Circuit Creation
Microsoft "Q#" - Microsoft Q Sharp a new Programming Language for Quantum Circuit Creation
qiskit api python - An API to connect IBM Quantum Computer ,With the generated token its easy to connect ,but very limited utils ,Lot of new utils will come soon
Cyclops Tensor Framework - A framework to do tensor network simulations
Python ToolKit for chemistry and physics Quantum Algorithm simulations - A New Started Project for simulating molecule and solids
Bayesian Based Quatum Projects Repository - A nice repository and the kickstarter of bayesforge
Google Fermion Products - A newly launched product specifivally for chemistry simulation
Tree Tensor Networks - Interesting Tensor Network in Incubator
Deep Tensor Neural Network - Some useful information about Tensor Neural Network in Incubator
Generative Tensorial Networks - A startup to apply machine learning via tensor network for drug discovery
Google Bristlecone - A new Quantum Processor from Google , Aimed for Future Hardwares with full fledged AI support
XANADU - A Light based Quantum Hardware(chips supports) and Software Company Started in Preparation Stage. Soon will be in market
fathom computing - A new concept to train the ai in a processor using light and quantum based concepts. soon products will be launch
Alibaba Quantum Computing Cloud Service - Cloud Service to access 11 Bit Quantum Computing Processor
Atomistic Machine Learning Project - Seems something Interesting with Deep Tensor Network for Quantum Chemistry Applications
circQ and Google Works - Google Top Efforts on Tools
IBM Safe Cryptography on Cloud - IBM Started and Developing a Quantm Safe Cryptography to replace all our Certificate Authority via Cloud
Google Tensor Network Open Source - Google Started the Most Scientist Preferred Way To Use a Quantum Computer Circuit. Tensor Flow Which Makes Easy to Design the Network and Will Leave the Work Effect Of Gates, Processor Preparation and also going to tell the beauty of Maths
Google Tensor Network Github - Github Project of Google Tensor Network
Quantum Tensorflow - Yet to come soon
Quantum Spark - Yet to come soon
Quatum Map Reduce - Yet to come soon
Quantum Database - Yet to come soon
Quantum Server - Yet to come soon
Quantum Data Analytics - Yet to come soon
QUANTUM HOT TOPICS
Deep Quantum Learning
why and what is deep learning?
In one line , If you know deep learning you can get a good job :) ,Even a different platform undergraduated and graduated person done a master specialization in deep learning can work in this big sector :), Practically speaking machine learning (vector mathematics) , deep learning (vector space(Graphics) mathematics) and big data are the terms created by big companies to make a trend in the market ,but in science and research there is no word such that , Now a days if you ask a junior person working in this big companies ,what is deep learning ,you will get some reply as "doing linear regression with stochastic gradient for a unsupervised data using Convolutional Neural Network :)" ,They knows the words clearly and knows how to do programming using that on a bunch of "relative data" , If you ask them about the FCM , SVM and HMM etc algorithms ,they will simply say these are olden days algorithms , deep learning replaced all :), But actually they dont know from the birth to the till level and the effectiveness of algorithms and mathematics ,How many mathematical theorems in vector, spaces , tensors etc solved to find this "hiding the complexity technology", They did not played with real non relative data like medical images, astro images , geology images etc , finding a relation and features is really complex and looping over n number of images to do pattern matching is a giant work , Now a days the items mentioned as deep learning (= multiple hidden artifical neural network) is not suitable for that
why quantum deep learning or deep quantum learning?
In the mid of Artificial Neural Network Research people realised at the maximum extreme only certain mathematical operations possible to do with ANN and the aim of this ANN is to achieve parallel execution of many mathematical operations , In artificial Intelligence ,the world intelligence stands for mathematics ,how effective if a probem can be solvable is based on the mathematics logic applying on the problem , more the logic will give more performance(more intelligent), This goal open the gate for quantum artificial neural network, On applying the ideas behind the deep learning to quantum mechanics environment, its possible to apply complex mathematical equations to n number of non relational data to find more features and can improve the performance
Quantum Machine Learning vs Deep Learning
Its fun to discuss about this , In recent days most of the employees from Product Based Companies Like google,microsoft etc using the word deep learning ,What actually Deep Learning ? and is it a new inventions ? how to learn this ? Is it replacing machine learning ? these question come to the mind of junior research scholars and mid level employees
The one answer to all questions is deep learning = parallel "for" loops ,No more than that ,Its an effective way of executing multiple tasks repeatly and to reduce the computation cost, But it introduce a big cap between mathematics and computerscience , How ?
All classical algorithms based on serial processing ,Its depends on the feedback of the first loop ,On applying a serial classical algorithm in multiple clusters wont give a good result ,but some light weight parallel classical algorithms(Deep learning) doing the job in multiple clusters and its not suitable for complex problems, What is the solution for then?
As in the title Quantum Machine Learning ,The advantage behind is deep learning is doing the batch processing simply on the data ,but quantum machine learning designed to do batch processing as per the algorithm
The product companies realised this one and they started migrating to quantum machine learning and executing the classical algorithms on quantum concept gives better result than deep learning algorithms on classical computer and the target to merge both to give very wonderful result
References
Quora - Good Discussion
Quora - The Bridge Discussion
Pdf - Nice Discussion
Google - Google Research Discussion
Microsoft - Microsoft plan to merge both
IBM - IBM plan to merge both
IBM Project - IBM Project idea
MIT and Google - Solutions for all questions
QUANTUM MEETUPS
Meetup 1 - Quantum Physics
Meetup 2 - Quantum Computing London
Meetup 3 - Quantum Computing New York
Meetup 4 - Quantum Computing Canada
Meetup 5 - Quantum Artificial Intelligence Texas
Meetup 6 - Genarl Quantum Mechanics , Mathematics New York
Meetup 7 - Quantum Computing Mountain View California
Meetup 8 - Statistical Analysis New York
Meetup 9 - Quantum Mechanics London UK
Meetup 10 - Quantum Physics Sydney Australia
Meetup 11 - Quantum Physics Berkeley CA
Meetup 12 - Quantum Computing London UK
Meetup 13 - Quantum Mechanics Carmichael CA
Meetup 14 - Maths and Science Group Portland
Meetup 15 - Quantum Physics Santa Monica, CA
Meetup 16 - Quantum Mechanics London
Meetup 17 - Quantum Computing London
Meetup 18 - Quantum Meta Physics ,Kansas City , Missouri ,US
Meetup 19 - Quantum Mechanics and Physics ,Boston ,Massachusetts ,US
Meetup 20 - Quantum Physics and Mechanics ,San Francisco ,California
Meetup 21 - Quantum Mechanics ,Langhorne, Pennsylvania
Meetup 22 - Quantum Mechanics ,Portland
QUANTUM BASED DEGREES
Plenty of courses around the world and many Universities Launching it day by day ,Instead of covering only Quantum ML , Covering all Quantum Related topics gives more idea in the order below
Available Courses
Quantum Mechanics for Science and Engineers
Online
Standford university - Nice Preparatory Course
edx - Quantum Mechanics for Everyone
NPTEL 1 - Nice Series of Courses to understand basics and backbone of quantum mechanics
NPTEL 2
NPTEL 3
NPTEL 4
NPTEL 5
Class Based Course
UK
Bristol
Australia
Australian National University
Europe
Maxs Planks University
Quantum Physics
Online
MIT - Super Explanation and well basics
NPTEL - Nice Series of Courses to understand basics and backbone of quantum Physics
Class Based Course
Europe
University of Copenhagen
Quantum Chemistry
Online
NPTEL 1 - Nice Series of Courses to understand basics and backbone of quantum Chemistry
NPTEL 2 -
Class Based Course
Europe
UGent Belgium
Quantum Computing
Online
MIT - Super Explanation and well basics
edx - Nice Explanation
NPTEL - Nice Series of Courses to understand basics and backbone of quantum Computing
Class Based Course
Canada
uwaterloo
Singapore
National University Singapore
USA
Berkley
China
Baidu
Quantum Technology
Class Based Course
Canada
uwaterloo
Singapore
National University Singapore
Europe
Munich
Russia
Skoltech
Quantum Information Science
External Links
quantwiki
Online
MIT - Super Explanation and well basics
edx - Nice Explanation
NPTEL - Nice Series of Courses to understand basics and backbone of quantum information and computing
Class Based Course
USA
MIT
Standford University
Joint Center for Quantum Information and Computer Science - University of Maryland
Canada
Perimeter Institute
Singapore
National University Singapore
Europe
ULB Belgium
IQOQI
Quantum Electronics
Online
MIT - Wonderful Course
NPTEL - Nice Series of Courses to understand basics and backbone of quantum Electronics
Class Based Course
USA
Texas
Europe
Zurich
ICFO
Asia
Tata Institute
Quantum Field Theory
Online
Standford university - Nice Preparatory Course
edx - Some QFT Concepts available
Class Based Course
UK
Imperial
Europe
Vrije
Quantum Computer Science
Class Based Course
USA
Oxford
Joint Center for Quantum Information and Computer Science - University of Maryland
Quantum Artificial Intelligence and Machine Learning
External Links
Quora 1
Quora 1
Artificial Agents Research for Quantum Designs
Quantum Mathematics
Class Based Course
USA
University of Notre
CONSOLIDATED Quantum Research Papers
scirate - Plenty of Quantum Research Papers Available
Peter Wittek - Famous Researcher for the Quantum Machine Leanrning , Published a book in this topic
[Murphy Yuezhen Niu] (https://scholar.google.com/citations?user=0wJPxfkAAAAJ&hl=en) - A good researcher published some nice articles
Recent Quantum Updates forum ,pages and newsletter
Quantum-Tech - A Beautiful Newsletter Page Publishing Amazing Links
facebook Quantum Machine Learning - Running By me . Not that much good :). You can get some ideas
Linkedlin Quantum Machine Learning - A nice page running by experts. Can get plenty of ideas
FOSDEM 2019 Quantum Talks - A one day talk in fosdem 2019 with more than 10 research topics,tools and ideas
FOSDEM 2020 Quantum Talks - Live talk in fosdem 2020 with plenty new research topics,tools and ideas
License
Dedicated Opensources
![Dedicated Opensources]()
Source code of plenty of Algortihms in Image Processing , Data Mining ,etc in Matlab, Python ,Java and VC++ Scripts
Good Explanations of Plenty of algorithms with flow chart etc
Comparison Matrix of plenty of algorithms
Is Quantum Machine Learning Will Reveal the Secret Maths behind Astrology?
Awesome Machine Learning and Deep Learning Mathematics is online
Published Basic Presentation of the series Quantum Machine Learning
Contribution
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