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5
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20

Asked on July 8, 2019 in Quantum Computing.
When I looked up these lectures, I found this link https://www.classcentral.com/course/edxquantummechanicsandquantumcomputation613.
To help us out, can you tell us where in the lectures he makes this specific statement? The Heisenberg Uncertainty Principle is usually introduced in the form of it being “impossible to know both the position and the momentum of a particle with absolute accuracy”. However, many systems of interest for quantum computing are not based on moving particles, but on the spin of particles, where the uncertainty principle manifests itself a different way.
This article in Scientific American may interest you: https://www.scientificamerican.com/article/atomicspinsevadeheisenberguncertaintyprinciple/
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Asked on May 30, 2019 in Quantum Computing.
This is not my area of expertise, However, there are some practical problems in 3D layout, because the qubits have to be connected in some way.
For example, on the DWave system, the qubits are implemented on a traditionallyfabricated chip, which is cooled to a very low temperature. The qubits have to be physically close to each other, and at the time of writing, the connections have been implemented on a 2D surface with multiple layers.
In theory, it’s possible to create chips with dozens of layers. However, as more layers are added, the number of possible defects tends to increase, and the yield goes down. This article describes the number of possible layers in fabricating flash memory (which is simpler than fabricating a quantum computing chip): https://www.forbes.com/sites/tomcoughlin/2017/07/27/howmanylayersarepossiblein3dflash
This will be an interesting area to follow. Personally, I’m going with the theory that the new multilayer fabrication technologies will at some point get cheaper and more reliable, and come within the reach of academic researchers. If you search for “qubit fabrication” in the literature, however, most published work is done with conventional techniques. But like I said, this is not my area of expertise and I’m hoping that someone with more information will contradict me.
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Asked on May 29, 2019 in Experimental Math.
Have you tried the IBM Q Experience: https://developer.ibm.com/open/projects/qiskit/ . They have a community board, and many of the participants are just getting started on their Quantum Computing journeys.
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Asked on April 29, 2019 in Quantum Computing.
There are companies in the quantum computing space that focus on encryption, such as Cambridge Quantum Computing, MagiQ or Quintessence Labs. I don’t know if it will help you, but companies like these are always adding things to their websites.
There is a World Building forum on Stack Exchange that might be worth looking at. Quantum for Quants is very small, but Stack Exchange operates 170+ sites, and they migrate questions to the site that the moderators think is most relevant.
Quantum encryption is a little outside the scope of Quantum for Quants, at least at the moment.
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Asked on December 21, 2018 in General Finance.
Quantum Computing is still at a very early stage. I’m not going to pretend to offer investment advice. However, here’s something to consider:
If you search on LinkedIn for “quantum computing”, most of the people you find are in academic or R&D roles. If you search for a different area of technology that you believe is currently of interest to venture capital, what do you find?
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Asked on December 21, 2018 in Quantum Computing.
There are many architectures being worked on. One place to get started is with the work of Andrea Morello. This page at the SFU Physics website has links to some of his papers and those of others, published in major journals. https://www.sfu.ca/physics/newsevents/physevents/2017/feb/event10.html
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Asked on October 5, 2018 in Quantum Computing.
One easy way to get started is the IBM Q Experience: https://quantumexperience.ng.bluemix.net/qx/experience
There are a number of people already doing experiments of various kinds.
Also, a “live” map showing where the experiments are being done: https://qeexecutionsmap.mybluemix.net
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Asked on June 26, 2018 in Sampling/Monte Carlo.
An additional paper worth looking at is Physicsinspired optimization for constraintsatisfaction problems using a digital annealer, recently posted on arXiv by some of my colleagues here at 1QBit and Fujitsu. Its 65 references are mostly from the physics literature, and may therefore provide a fresh perspective.
Link to arXiv: https://arxiv.org/pdf/1806.08815.pdf
The Fujitsu Digital Annealer can treat Isingtype optimization problems of a size up to 1024 variables, with 26 and 16 bits of (fixed) precision for the biases and variable couplers, respectively. According to the authors, physicsinspired optimization techniques, such as simulated annealing and parallel tempering Monte Carlo, have been shown to outperform specialized quantum hardware, such as the currently available DWave devices.
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Asked on June 1, 2018 in Sampling/Monte Carlo.
I am not an expert in Monte Carlo methods. However, I have reposted your question on 1QBit’s internal message board, and we’ll see what emerges in the way of helpful information.
As background, there is a paper from 2014 that compares population annealing (a Monte Carlo algorithm) with simulated annealing and parallel tempering Monte Carlo. https://arxiv.org/abs/1412.2104
I am mentioning it because one of the authors is Helmut Katzgraber, who heads the Optimization Team at 1QBit. Helmut has published extensively, and with a large number of coauthors. One way to begin your search for relevant articles would be to start with the above paper on arXiv and look through the citations for its authors.
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Asked on February 5, 2018 in Quantum Computing.
In addition to the material on this site, there are several 1QBit White Papers that describe concrete applications. Some of these are similar to the versions published here.
This answer accepted by Chris6632. on March 19, 2018 Earned 15 points.
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