krishnakumarsekar/awesomequantummachinelearning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
repo name  krishnakumarsekar/awesomequantummachinelearning 
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Awesome Quantum Machine Learning
A curated list of awesome quantum machine learning algorithms,study materials,libraries and software (by language).
Table of Contents
 INTRODUCTION
 BASICS
 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 MACHINE LEARNING ALGORITHMS
 Quantum KNearest Neighbour
 Quantum KMeans
 Quantum Fuzzy CMeans
 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
 Quantumbehaved Particle Swarm Optimization
 Quantum Annealing ExpectationMaximization
 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 HuntStein 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
 CholeskyDecomposition for Quantum Chemistry
 Quantum Statistical Inference
 Asymptotic Quantum Statistical Inference
 Quantum Gaussian Mixture Modal
 Quantum tdesign
 Quantum Central Limit Theorem
 Quantum Hypothesis Testing
 Quantum Chisquared 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
 QAUNTUM COMPUTER VISION
 QUANTUM PROGRAMMING LANGUAGES , TOOLs and SOFTWARES
 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  FlipFlop 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 entangledpair States
 Infinite Projected entangledpair States
 Corner Transfer Matrix Method
 Tensorentanglement 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 , 810 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 (DWave) 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
 DWave  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
 externallink  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
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
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
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 KNearest 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 KMeans
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 Kmeans clustering using hamiltonian
 Matlab  Yet to come soon
 Python  Yet to come soon
Quantum Fuzzy CMeans
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
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
 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
 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)
 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
 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
 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
 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

Class Based Course

UK

Australia

Europe

Quantum Physics

Online

Class Based Course

Europe

Quantum Chemistry

Online

Class Based Course

Europe

Quantum Computing

Online

Class Based Course

Canada

Singapore

USA

China

Quantum Technology

Class Based Course

Canada

Singapore

Europe

Russia

Quantum Information Science

External Links

Online

Class Based Course
Quantum Electronics

Online

Class Based Course

USA

Europe

Asia

Quantum Field Theory

Online
 Standford university  Nice Preparatory Course
 edx  Some QFT Concepts available

Class Based Course
Quantum Computer Science

Class Based Course
Quantum Artificial Intelligence and Machine Learning

External Links
Quantum Mathematics

Class Based Course
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
 QuantumTech  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
 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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