# Tag Info

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Here is what I think is a comprehensive list of journals that publish papers about quantum information with a noteworthy frequency (anyone is free to edit/add more). Publishing only about quantum information: Quantum Information & Computation Springer Quantum Information Processing Quantum Computing Frontiers npj Quantm Information Publishing papers, ...

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To start, I would read "The next stage: quantum game theory" by E.W.Piotrowski, J. Sladkowski. While the paper is from 2003, the authors discuss how developments in quantum computation allow the extension of the scope of game theory. It includes some basic history as well as some basic ideas and recent developments in quantum game theory. These same ...

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There are loads of different quantum computing journals, so you might want to be more specific about what you're looking for. However, the vast majority of papers (certainly theory, perhaps a bit less so the experiments) appear as preprints on the arXiv, specifically the quant-ph section. The majority of papers, all in one place, collectively searchable, and ...

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When you believe there are errors in a paper, you have the opportunity to publish a "comment" on the paper, in the same journal that the paper was originally published. The paper to which you refer as published in Molecular Physics, and here is an example of a "comment" published in that very same journal in 2002, about a paper that was ...

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Following are a few insightful journals on quantum information, computation and algorithms. Quantum Journal Quantum Information and Computation Journal of Quantum Computing

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(Based on the time limitation I assume we're talking about an undergraduate level project, and not something more advanced.) If you look at the questions about Grover's algorithm, you'll notice that a lot of them ask about implementing oracles for interesting tasks - or at least tasks more satisfying than looking for the state $|111\rangle$ :-) One ...

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If you are looking for a place to start, I probably start by asking you a few clarifying questions. Quantum Computation & Information is a broad field. I would say that it can primarily be viewed as a spectrum, similar to classical computing, from hardware up to algorithms. To get an idea of the hardware side, a great reference is Jerry Chow's thesis. ...

4

I mostly work on quantum error correction and quantum information theory, so I can give you references about journals that cover such topics. Anyway, I am pretty sure that articles about quantum computing in general do also get published in such journals. I give you a list of them: IEEE transactions on Information Theory Physical Review Letters Physical ...

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It may or may not be exactly what you're looking for, but there is research done on coherent charge oscillations in a silicon field-effect transistor (paper by Gonzalez-Zalba et. al. at Hitatchi labs). In the above paper, they coherently control a double quantum dot in a silicon-on-insulator nanowire CMOS transistor, with a $T_2$ coherence time of $\approx ... 4 First of all, it depends on the level of detail of your simulation. SimulaQron does not take into account noise, so I presume your simulation is only functional. Many BB84 functional simulations have been developed so far, and no one was so interesting to deserve publication in a research paper. Notice also that BB84 is the reference example in the ... 4 If you want an excellent answer, you will have to say what "2nd course in QM" means, by specifying which exact topics will be covered, other than just "perturbation theory", which is the only thing you've said about the 2nd QM course so far. Also it would be helpful for you to tell us what was covered in the first QM course. However, I ... 3 To be more specific and as an addendum to Drito's answer which provides a good starting point for your search, I would like to narrow it down for you, by recommending Quantum Information Processing. Since this journal is good, and moreover it has papers regarding Image Processing related topics like its Representation, security. 3 On the practical side: A lot of work is currently going into getting small scale quantum computers to work, and this involves fundamental understanding and manipulation of small quantum systems, be it ions, photons or whatever else. I can only imagine what other uses we would be able to find for having a better grasp on handling these fundamental systems. A ... 3 You have those two mailing lists in quantum computing: Quantum Computing Report, which advertises every week news and job posting from their website Quantum Computing Institute at ORNL mailing list, with news, conferences and job postings in both academia and industry. This one is probably the closer to what you are looking for. 3 According to comment provided by user gIS, there was no progress in implementing qRAM as proposed in the paper. However, some additional information on qRAM physical implementation can be found on this forum here. 3 Of course if we have unitary evolution $$|\psi_1\rangle = U|\psi_0\rangle$$ then $$|\psi_0\rangle = U^\dagger|\psi_1\rangle$$ I did not read the paper, but evidently the authors do something different, based on the following: the Schrödinger equation $$i\hbar\frac{\partial\Psi}{\partial t}=\hat{H}\Psi$$ changes its form if we substitute$t\rightarrow -t\$ to ...

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I don't think I can answer this question precisely, but I would like to say some things. Since this question was asked, much has changed in the field. We have the following known sources that may interest any reader passing by (since probably by now the OP is an expert in the subject, I hope this answer can be useful): Two very broad reviews on the notion ...

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A Different Way Of Looking At Linear Algebra Tensor Networks provide a different way of looking at linear algebra particularly within the context of tensor space systems. Quantum Circuits Are Just Products of Vectors and Operators A quantum circuit is inherently a tensor space system as when we have multiple qubits we must think of the whole circuit with ...

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In order to benefit from the use of quantum objects to perform classical computation, one possibility is proposed by Spintronics. Since the discovery of the giant magnetorresistence by Fert et al. (in Giant Magnetoresistance of (001)Fe/(001)Cr Magnetic Superlattices) a new field has been developed in which the spin has been used instead of the classical ...

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We should add that applied quantum computing is also covered as on-topic by the new cross-disciplinary journals: (IOP) Quantum Science and Technology (Wiley) Advanced Quantum Technologies (Springer) Quantum Machine Intelligence

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CW from Self-Answer I asked this question a while ago, and I've learned I think a little bit about many of the outstanding open problems in the field, and more about science communication in general. Of course I suspect generally most in the QC community want to have the problems that they work on be accessible to a broader audience. And there are, from my ...

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One research direction that's in some ways just getting going is making the constant factors on the costs of quantum computation smaller. For example, the the first international workshop on quantum resource estimation (QRE2019) didn't happen ten years ago, it's happening later this year. Given known techniques, if you try to run a classical computation on ...

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In this paper, the authors used Knot theory to define what they call 'Path Model Representation'. In a later section they convert this representation to qubits by switching to binary.

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I'll reiterate on my earlier answer to What can be a mini research project based on Grover's algorithm or the Deutsch Jozsa algorithm?: I think "Applying Grover's search algorithm to solve problem X" is a great topic for a small (or not-so-small) project. It is a very well-known algorithm (well, at least it is featured in the writings about quantum ...

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It's fundamentally similar to/the same as Baker–Campbell–Hausdorff (BCH). Generally, in quantum physics, this is most often used (or at least taught) with commuting Hamiltonians: $$e^{-i\left(H_1+H_2\right)t} = \sum_{n=1}^\infty\frac{\left(-it\right)^n}{n!}\left(H_1+H_2\right)^n = e^{-iH_1t}e^{-iH_2t}e^{\frac{1}{2}\left[H_1, H_2\right]t^2}\cdots$$ where the ...

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This is a good list made by Prof. Rod Van Meter. Maybe you could look at the papers you based your work off of and see where they were published? That should give you a sense of which journals are interested in the sort of work you've done.

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There is no replace() method, but you can do the trick by means of pop() and insert(). Example: from qiskit import QuantumCircuit, Aer, execute from qiskit.extensions.standard import XGate simulator = Aer.get_backend("qasm_simulator") qc = QuantumCircuit(4,4) qc.h([0,1,2,3]) qc.measure([0,1,2,3], [0,1,2,3]) print(qc.draw()) result = execute(qc, backend=...

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Instead of combining Tensorflow and Qiskit, you can use the Tensorflow Quantum package. It provides seamless integration of quantum simulation in the tensorflow framework. You can build layered approaches as you would with classical neural networks, and use the standard loss functions and optimizers that you might be used to. A tutorial on how to build a ...

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John Preskill identified the bottleneck you described as a fundamental problem in quantum deep learning (section 6.5, here). In particular, But typical proposals for quantum machine learning applications are confounded by severe input/output bottlenecks. For applications to large classical data sets one should take into account the cost of encoding ...

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By treating a quantum circuit as a network model, the network model can be optimized the order of the calculation by making a contract between tensor and tensor. I think it is definitely important to learn TN for future qc.

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