WhenI try to print from Corel PaintShop Pro X8 the photo program shuts down without printing. I am using a Dell Inspiron 3650, running Windows 10 operating system. I have an HP ENVY PHOTO 7855 printer. I have tried re-installing the software. This is a replacement for an HP InkJet 6455 printer, which had no such problems. If I save the picture and try to print it from a different program I do not have a problem. Any help or direction would be appreciated. Thank you.
The task is to paint the cars such that in the end for every pair of cars one is painted in red and the other in blue. The objective of the following minimization procedure is to minimize the number of color changes in the paintshop.
If two consecutive cars in the sequence are painted in different colors the robots have to rinse the old color, clean the nozzles and flush in the new color. This color change procedure costs time, paint, water and ultimately costs money, which is why we want to minimize the number of color changes. However, a rearrangement of the car sequence is not at our disposal (because of restrictions that are posed by the remainig manufacturing processes), but we can decide once we reach the first car of each car pair which color to paint the pair first. When we have chosen the color for the first car the other car has to be painted in the other respective color. Obvious generalizations exist, for example more than two colors and groups of cars with more than 2 cars where it is permissible to exchange colors, however for demonstration purposes it suffices to consider the here presented binary version of the paintshop problem. It is NP-hard to solve the binary paintshop problem exactly as well as approximately with an arbitrary performance guarantee. A performance guarantee in this context would be a proof that an approximation algorithm never gives us a solution with a number of color changes that is more than some factor times the optimal number of color changes. This is the situation where substantial quantum speedup can be assumed (c.f. Quantum Computing in the NISQ era and beyond). The quantum algorithm presented here can deliver, on average, better solutions than all polynomial runtime heuristics specifically developed for the paintshop problem in constant time (constant query complexity) (c.f. Beating classical heuristics for the binary paint shop problem with the quantum approximate optimization algorithm).
To be able to solve the binary paintshop problem with the Quantum Approximate Optimization Algorithm (QAOA) we need to translate the problem to a spin glass problem. Interestingly, that is possible with no spatial overhead, i.e. the spin glass has as many spins as the sequence has car pairs. The state of every spin represents the color we paint the respective first car in the seqence of every car pair. Every second car is painted with the repsective other color. The interactions of the spin glass can be deduced proceeding through the fixed car sequence: If two cars are adjacent to each other and both of them are either the first or the second car in their respective car pairs we can add a ferromagnetic interaction to the spin glass in order to penalize the color change between these two cars. If two cars are next to each other and one of the cars is the first and the other the second in their respective car pairs we have to add a antiferromagnetic interaction to the spin glass in order to penalize the color change because in this case the color for the car that is the second car in its car pair is exactly the opposite. All color changes in the car sequence are equivalent which is why we have equal magnitude ferromagnetic and antiferromagnetic interactions and additionally we choose unit magnitude interactions.
We want to execute a one block version of the QAOA circuit for the binarypaintshop instance with p = 1 on a trapped-ionquantum computer of IonQ. This device is composed of 11 fully connected qubits with average single- and two-qubit fidelities of 99.5% and 97.5% respectively (Benchmarking an 11-qubit quantum computer).As most available quantum hardware, trapped ionquantum computers only allow the application of gatesfrom a restricted native gate set predetermined by thephysics of the quantum processor. To execute an arbitrary gate, compilation of the desired gate into available gates is required. For trapped ions, a generic nativegate set consists of a parameterized two-qubit rotation, the Molmer Sorensen gate,\(R_\mathrmXX(\alpha)=\mathrmexp[-\mathrmi\alpha \sigma_\mathrmx^(i)\sigma_\mathrmx^(j)/2]\) and a parametrized single qubit rotation:
QAOA circuits employ parametrized two body \(\sigma_z\) rotations, \(R_\mathrmZZ(\gamma)=\mathrmexp[-i\gamma \sigma_\mathrmz^(i)\sigma_\mathrmz^(j)]\). To circumvent a compilation overhead and optimally leverage the Ion Trap, we inject pairs of Hadamard gates \(H H^\dagger = 1\) for every qubit in between the two body \(\sigma_z\) rotations. This means we are able to formulate the phase separator entirely with Molmer Sorensen gates. To support this, the QAOA circuit starts in the state where all qubits are in the groundstate \(\left 0\right\rangle\) instead of the superposition of all computational basis states \(\left + \right\rangle\),
To find the right parameters for the QAOA circuit, we have to assess the quality of the solutions for a given set of parameters. To this end, we execute the QAOA circuit with fixed parameters 100 times and calculate the average number of color changes.
We optimize the average number of color changes by adjusting the parameters with scipy.optimzes function minimize. The results of these optimsation runs strongly depend on the random starting values we choose for the parameters, which is why we restart the optimization procedure for different starting parameters 10 times and take the best performing optimized parameters.
Note here that the structure of the problem graphs of the binary paintshop problem allow for an alternative technique to come up with good parameters independent of the specifics of the respective instance of the problem: Training the quantum approximate optimization algorithm without access to a quantum processing unit
Once the parameters are optimised, we execute the optimised QAOA circuit 100 times and output the solution with the least color changes.Please replace with your IonQ API key and with the API endpoint.
Note here, that in a future production environment the optimization and execution phase of the QAOA should be merged, i.e. we output in the end the best performing sample gathered during the training phase of the QAOA circuit. For educational purposes, we separated here the training and the evaluation phase of the QAOA.
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It seems that there are many users who have difficulty uninstalling programs like Corel PaintShop Pro 2020 from their systems. Some experience issues during uninstallation, whereas other encounter problems after the program is removed.
There could be other causes why users may not be able to uninstall Corel PaintShop Pro 2020. An incomplete uninstallation of a program may cause problems, which is why thorough removal of programs is recommended.
Here is a LINK to a German site (I used Google translate for myself) with information. Additional INFO here. It sort of reminds me of when Alludo took over Corel last year. That effectively killed Pinnacle Studio, Videostudio Pro, Paintshop Pro, and other software under the Corel umbrella.
Reading in the Vegas forum, going back to last year, developers had mentioned the increased amount of engineers working on Vegas, it's dated coding, and implementing a new video engine, more "AI" features, etc.. But where does this leave the current crop of Magix video editing software is anyone's guess. The "glut" of free software, ranging from Davinci Resolve Free to CapCut (the data mining software from China), the landscape of paid consumer editing software has changed, along with the "desires" of those who want to emulate the "TikTok/Instagram" look in their editing.
It does seem a bit worrying. I don't have a great deal invested in Magix so it wouldn't affect me much as long as we can continue using the product we already have. It would be a shame though and I feel for anybody that would be affected badly by it.
This is the kind of thing that happens when an investment company takes over a company whose survival depends on R&D and constant and consistent product improvement. The investors think that the company should just keep going without R&D, without maintenance, without replacing obsolete equipment, etc. I was involved in the sale of a company to potential investment groups and the questions that I had vividly demonstrated how they think. The investors have no skills in the industry, and their choice of leader is usually based on cost-cutting, not skill and innovation and growth. These companies were built by innovators but stagnate under investor-management.
At one time, they had a program called "MX" for Media eXchange and they promoted it. They have let this languish so users and potential purchasers don't see that if they buy X, they may also be interested in Y and Z because...
My second tutorial on Youtube was about going back and forth between Movie Edit Pro (Video Deluxe) and Music Maker. Although Magix has done a great job improving Music Maker, they removed the Share feature to be able to quickly and easily move back to the video editor (it's still in Magix Movie Studio MMX). Why? It worked fine and could be promoted as a feature. Market the two - easily score your videos and look at the wonderful material available! What did they do, they just bundled Music Maker with the video editing programs with no or little marketing information as to how these would work together. This is a wonderful but unexploited selling feature. As well, VPX has never had the Share feature in the top menu. I asked for this multiple times over the years.
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