# Tag Info

## Hot answers tagged machine-learning

23 votes
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### Introductory material for quantum machine learning

The Nielsen and Chuang of Quantum Machine Learning is this extensive review called "Quantum Machine Learning" published in Nature in 2017. The arXiv version is here and has been updated as recently as ...
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14 votes

### Is there any potential application of quantum computers in machine learning or AI?

I will only answer to the part of the question regarding how quantum mechanics can be useful to analyse classical data with machine-learning-like techniques. There are also works related to "quantum ...
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14 votes

### Will deep learning neural networks run on quantum computers?

This is very much an open question, but yes, there is a considerable amount of work that is being done on this front. Some clarifications It is, first of all, to be noted that there are two major ...
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13 votes
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### Quantum machine learning after Ewin Tang

I am not an expert in the field but there are a few points that I am aware of: There are proofs that certain quantum machine learning algorithms cannot be efficiently simulated on a classical ...
13 votes
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### How Mature is the Tensorflow Quantum Library

First we should take a step back. Is there any machine learning done a quantum computer that cannot be efficiently simulated on a classical computer? The answer currently (2020) is no. In this ...
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13 votes
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### Comparing method of differentiation in variational quantum circuit

Both finite differences and the parameter-shift rule can be used to compute quantum gradients on quantum hardware. However, there are several reasons that lead to the parameter-shift rule being ...
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11 votes

### Introductory material for quantum machine learning

Here's a list of other resources to learn about quantum machine learning: An introduction to quantum machine learning The quest for a Quantum Neural Network Quantum Machine Learning: What Quantum ...
9 votes
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### Where can I find example circuits to learn from?

I know this is not what you are asking but this paper: Quantum Algorithm Implementations for Beginners explains the implementation of some machine learning algorithms. Hope this helps!
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8 votes
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### Will deep learning neural networks run on quantum computers?

Yes, all classical algorithms can be run on quantum computers, moreover any classical algorithm involving searching can get a $\sqrt{\text{original time}}$ boost by the use of grovers algorithm. An ...
8 votes
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### What language is more suitable for quantum machine learning algorithms?

One can recommend PennyLane by Xanadu.AI. You can find complete examples of quantum machine learning algorithms (e.g. Iris Classification), using hybrid quantum-classical computations. Additionally, ...
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8 votes
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### Can quantum computing contribute to the development of artificial intelligence?

In my view, if artificial general intelligence (AGI) is ever 'solved', it likely won't be because of the development of a quantum AI algorithm. Rather, it will be because of a breakthrough in the ...
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8 votes
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### Is a "kernel" just the quantum equivalent of classical SVMs?

Consider a simple implementation of a Support Vector Machine (SVM) that finds a hyperplane (defined by its normal vector $w$) that maximally separates vectors $\{v_1, \dots, v_m\}$ according to their ...
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6 votes

### Is there any potential application of quantum computers in machine learning or AI?

There are arguments that our brains are quantum mechanical, and arguments against, so that's a hotly debated topic. Fisher at UCSB has some speculative thinking about how brains might still use ...
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6 votes

### How to recognize if a paper is talking about quantum annealing or gate logic?

I've not looked at those papers specifically, but there are several different models for quantum computation (see here), including the gate model and the adiabatic model, which are polynomial time ...
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6 votes
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### Quantum speedup in Bayesian machine learning on NISQ computers

As far as I know, there are four possibilities for having a quantum advantage in Bayesian machine learning: Gaussian processes: there is a known quantum speed-up for Gaussian processes that you can ...
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### How is data encoded in a quantum neural network?

There are many possible ways to encode data into a quantum neural network (QNN). In one of the first papers to suggest the use of variational circuits to classify data [1], the authors suggest the ...
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### What are the differences between the IBM machines?

Besides number of qubits, the devices can have other differences as well. The architecture of the device can be different, meaning that each device could have different connectivity maps. This would ...
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6 votes

### Claimed "potential revenue" from machine learning in 2023?

"IonQ is claiming to have a potential application in machine learning by 2023. What applications could they have in mind?" None. The plot you showed has no units on the y-axis. It doesn't ...
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5 votes

### Distance calculation between two vectors

Thanks for the answers from @forky40. I accept it as the right answer, but do want to provide a complete derivation as follows. (Same as in the original question) First, initialize per DistCalc:  |...
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### Is there any potential application of quantum computers in machine learning or AI?

Much of the work done so far with quantum computers has been focused on solving combinatorial optimization problems. Both D-Wave style Quantum Annealers and the more recent Gate Model machines from ...
5 votes
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### Can quantum computing speed up Bayesian learning?

Gaussian Processes are a key component of the model-building procedure at the core of Bayesian Optimization. Therefore speeding up the training of Gaussian processes directly enhances Bayesian ...
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### Introductory material for quantum machine learning

The most recent quantum machine learning textbook is Schuld and Petruccione (2018). Supervised Learning with Quantum Computers while a nice companion to Nielsen and Chuang for introductory quantum ...
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5 votes
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### Embedding classical information into norm of a quantum state

I don't understand their notion of a $2^n$ dimensional complex vector. If each of the components of their classical data array has two floating point numbers, wouldn't encoding that into a $n$-...
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### Pennylane and Qiskit for quantum machine learning

Have a look at these for quantum machine learning: Supervised learning with quantum computers by Schuld and Petruccione (2018) An introduction to quantum machine learning by the same authors of the ...
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### What are the differences between the IBM machines?

First of all, the name of backends (devices) have nothing to do with their location! They are all located in US. Back to your question, as others already mentioned the difference is in the ...
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### What does the quantum part of the quantum support vector machine actually do?

The basic idea of how the quantum feature map works is that you're using a quantum computer to map each input datapoint $x$ from your training domain $\mathcal{X}$ into a quantum state \$|\phi(x)\...
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4 votes
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### Are there any examples of anyone applying quantum algorithms to problems in computational biology?

I was not able to find references specifically in quantum biology. I found however a review called Quantum Assisted biomolecular modeling. You may find it interesting but this is from 2010. The ...
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