# Tag Info

## Hot answers tagged quantum-enhanced-machine-learning

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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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### 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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### 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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### 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 ...
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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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### 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 ...
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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 ...

### What is the advantage of quantum machine learning over traditional machine learning?

As so often, and especially in young research areas, the answer depends quite a lot on how you break down the question. Let me try a few examples: Does quantum mechanics change what is theoretically ...
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### Computing expectation value of product of observables in PennyLane

PennyLane supports measurements of tensor products of observable via the @ operator, like so: ...
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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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### 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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### 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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### 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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### 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 ...

### 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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### 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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### HHL algorithm -- controlled-by-eigenvalues rotations

If $\tilde{\lambda_{k}} < C$, the controlled rotation becomes non-physical since you have coeffecient greater than 1 on your $|1\rangle$ state. As a result $C < \lambda_{min}$ is a safer choice,...
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### Barren plateaus in quantum neural network training landscapes

First: The paper references [37] for Levy's Lemma, but you will find no mention of "Levy's Lemma" in [37]. You will find it called "Levy's Inequality", which is called Levy's Lemma in this, which is ...
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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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### Does TensorFlow Quantum tfq.convert_to_tensor work on custom gates?

I'm the engineer who looks after TensorFlow Quantum. Serializing custom gates is not supported. There is an active issue on the GitHub here: https://github.com/tensorflow/quantum/issues/354 . A quick ...
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### Introductory material for quantum machine learning

A lot of focus in quantum machine learning in the near term revolves around variational quantum algorithms (you'll also see them called variational quantum circuits or parameterized quantum circuits), ...
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### What is the advantage of quantum machine learning over traditional machine learning?

Potentially, the same advantage that quantum computing can provide over classical computing. By "quantum machine learning", in the way you seem to be using the term here, people usually ...
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### Computing expectation value of product of observables in PennyLane

I think the following should work: ...
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### Quantum SVM with large feature set

Practically, it can be (quite often) a limitation of number of qubits/hardware, but also it is a hyperparameter to play with. So it may be that using more qubits gives you better results or worse. ...
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