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Questions tagged [machine-learning]

For questions about how quantum computing could improve or affect machine learning i.e. quantum machine learning. Questions about classical machine learning belong on another site, such as Stack Overflow, Cross Validated or Artificial Intelligence SE.

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0answers
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What is the physics behind a quantum classifier for labeling quantum states? [on hold]

I am trying to understand what physics is found behind labeling quantum states on the Ising Model.
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0answers
56 views

How to build a quantum circuit representing the Ising Model?

Can someone explain to me how to build a quantum circuit representing the Ising Model? I just want to understand how to represent the Ising Model for the purposes of quantum state label classification....
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3answers
127 views

Swap Test for vector difference - how are different sized inputs combined?

I'm working on a similar problem of that raised by Aman in Inner product of quantum states Concerning the use of Swap Test for calculating the difference of two vectors. An example of the original ...
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1answer
74 views

What language is more suitable for quantum machine learning algorithms?

What language is more suitable for quantum machine learning algorithms? Is it right that it's Python + Pyquil? Or something else? And do you know the sources where you can see the sample codes of ...
4
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1answer
131 views

How to study quantum machine learning?

I want to make my quantum machine learning algorithms. As far as I understand I must learn: basics of quantum physics, quantum computing (and algorithms), classical machine learning, quantum ...
12
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0answers
177 views

Quantum machine learning after Ewin Tang

Recently, a series of research papers have been released (this, this and this, also this) that provide classical algorithms with the same runtime as quantum machine learning algorithms for the same ...
3
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0answers
28 views

Why does $x\sqrt{1-x^2}$ enhance the ability to approximate analytical functions in quantum circuit learning?

In this paper Quantum Circuit Learning they say that the ability of a quantum circuit to approximate a function can be enhanced by terms like $x\sqrt{1-x^2}$ ($x\in[-1,1])$. Given inputs $\{x,f(x)\}$, ...
4
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2answers
361 views

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

I am currently reading various survey papers in Quantum Machine Learning, such as "Quantum Machine Learning" by Biamonte, Wittek, Pancotti, Rebentrost, Wiebe, and Lloyd. To me, it is not clear when ...
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1answer
98 views

Can quantum annealing be used for training convolutional neural networks?

Simulated annealing is applied for deep learning using convolutional neural networks. Likewise, can quantum annealing be used? These two papers: Simulated Annealing Algorithm for Deep Learning (...
5
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1answer
153 views

Is quantum backpropagation faster than classical backpropagation?

I recently stumbled upon a press release from Xanadu.ai stating that Under the hood, PennyLane's core feature is that it implements a version of the backpropagation algorithm - the workhorse for ...
11
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2answers
305 views

Are there any examples of anyone applying quantum algorithms to problems in computational biology?

As the title suggests, I'm searching for published examples of quantum algorithms being applied to problems in computational biology. Clearly the odds are high that practical examples don't exist (yet)...
5
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0answers
154 views

What do “$i$-th basic network”, “quantum multiplexers” and “quantum parallelism” mean in this context? How are they beneficial?

I have been reading the paper A quantum-implementable neural network model (Chen et al., 2017) for a few days now, but failed to understand how exactly their algorithm offers a speedup over the ...
9
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1answer
127 views

Where can I find example circuits to learn from?

I'm relatively new to quantum computing and my goal is to learn how to implement algorithms that I read in papers. While I have found many circuit snippets I have yet to find a repository of examples ...
4
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1answer
109 views

What are some of the interesting problems whose solutions have been proposed using quantum neural networks?

I know there are some "quantum versions" of hand-writing recognition algorithms which have been proposed using quantum neural networks. Example: "Recognition of handwritten numerals by Quantum Neural ...
7
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1answer
263 views

Embedding classical information into norm of a quantum state

According to An introduction to quantum machine learning (Schuld, Sinayskiy & Petruccione, 2014), Seth Lloyd et al. say in their paper: Quantum algorithms for supervised and unsupervised machine ...
16
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2answers
1k views

Introductory material for quantum machine learning

In the past few days, I have been trying to collect material (mostly research papers) related to Quantum machine learning and its applications, for a summer project. Here are a few which I found ...
6
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0answers
61 views

Gradient boosting akin to XGBoost using a quantum device

I am currently trying to implement a boosting algorithm akin to XGBoost with a quantum device. The reason is that I want to make use of a quantum device to train weak classifiers. However, as far as I ...
6
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1answer
270 views

Can quantum computing speed up Bayesian learning?

One of the biggest drawbacks of Bayesian learning against deep learning is runtime: applying Bayes' theorem requires knowledge on how the data is distributed, and this usually requires either ...
11
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4answers
2k views

Will deep learning neural networks run on quantum computers?

Deep Learning (multiple layers of artificial neural networks used in supervised and unsupervised machine learning tasks) is an incredibly powerful tool for many of the most difficult machine learning ...
20
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4answers
605 views

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

A lot of people believe that quantum computers can prove to be a pivotal step in creating new machine learning and AI algorithms that can give a huge boost to the field. There have even been studies ...