The Experts below are selected from a list of 97488 Experts worldwide ranked by ideXlab platform
Florian J. Boge - One of the best experts on this subject based on the ideXlab platform.
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Is the Reality Criterion Analytic?
Erkenntnis, 2019Co-Authors: David Glick, Florian J. BogeAbstract:Tim Maudlin has claimed that EPR’s Reality Criterion is analytically true. We argue that it is not. Moreover, one may be a subjectivist about quantum probabilities without giving up on objective Physical Reality. Thus, would-be detractors must reject QBism and other epistemic approaches to quantum theory on other grounds.
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Is the Reality Criterion Analytic?
Erkenntnis, 2019Co-Authors: David Glick, Florian J. BogeAbstract:Tim Maudlin has claimed that EPR’s Reality Criterion is analytically true. We argue that it is not. Moreover, one may be a subjectivist about quantum probabilities without giving up on objective Physical Reality. Thus, would-be detractors must reject QBism and other epistemic approaches to quantum theory on other grounds.
David Glick - One of the best experts on this subject based on the ideXlab platform.
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Is the Reality Criterion Analytic?
Erkenntnis, 2019Co-Authors: David Glick, Florian J. BogeAbstract:Tim Maudlin has claimed that EPR’s Reality Criterion is analytically true. We argue that it is not. Moreover, one may be a subjectivist about quantum probabilities without giving up on objective Physical Reality. Thus, would-be detractors must reject QBism and other epistemic approaches to quantum theory on other grounds.
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Is the Reality Criterion Analytic?
Erkenntnis, 2019Co-Authors: David Glick, Florian J. BogeAbstract:Tim Maudlin has claimed that EPR’s Reality Criterion is analytically true. We argue that it is not. Moreover, one may be a subjectivist about quantum probabilities without giving up on objective Physical Reality. Thus, would-be detractors must reject QBism and other epistemic approaches to quantum theory on other grounds.
Vlatko Vedral - One of the best experts on this subject based on the ideXlab platform.
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The Second Quantized Quantum Turing Machine and Kolmogorov Complexity
Modern Physics Letters B, 2008Co-Authors: Caroline Rogers, Vlatko VedralAbstract:The Kolmogorov complexity of a Physical state is the minimal Physical resources required to reproduce that state. We define a second quantized quantum Turing machine and use it to define second quantized Kolmogorov complexity. There are two advantages to our approach — our measure of the second quantized Kolmogorov complexity is closer to Physical Reality and unlike other quantum Kolmogorov complexities, it is continuous. We give examples where the second quantized and quantum Kolmogorov complexity differ.
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The Second Quantized Quantum Turing Machine and Kolmogorov Complexity
arXiv: Quantum Physics, 2005Co-Authors: Caroline Rogers, Vlatko VedralAbstract:The Kolmogorov complexity of a Physical state is the minimal Physical resources required to reproduce that state. We define a second quantized quantum Turing machine and use it to define second quantized Kolmogorov complexity. There are two advantages to our approach - our measure of second quantized Kolmogorov complexity is closer to Physical Reality and unlike other quantum Kolmogorov complexities it is continuous. We give examples where second quantized and quantum Kolmogorov complexity differ.
Caroline Rogers - One of the best experts on this subject based on the ideXlab platform.
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The Second Quantized Quantum Turing Machine and Kolmogorov Complexity
Modern Physics Letters B, 2008Co-Authors: Caroline Rogers, Vlatko VedralAbstract:The Kolmogorov complexity of a Physical state is the minimal Physical resources required to reproduce that state. We define a second quantized quantum Turing machine and use it to define second quantized Kolmogorov complexity. There are two advantages to our approach — our measure of the second quantized Kolmogorov complexity is closer to Physical Reality and unlike other quantum Kolmogorov complexities, it is continuous. We give examples where the second quantized and quantum Kolmogorov complexity differ.
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The Second Quantized Quantum Turing Machine and Kolmogorov Complexity
arXiv: Quantum Physics, 2005Co-Authors: Caroline Rogers, Vlatko VedralAbstract:The Kolmogorov complexity of a Physical state is the minimal Physical resources required to reproduce that state. We define a second quantized quantum Turing machine and use it to define second quantized Kolmogorov complexity. There are two advantages to our approach - our measure of second quantized Kolmogorov complexity is closer to Physical Reality and unlike other quantum Kolmogorov complexities it is continuous. We give examples where second quantized and quantum Kolmogorov complexity differ.
Arie E Kaufman - One of the best experts on this subject based on the ideXlab platform.
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mapping virtual and Physical Reality
International Conference on Computer Graphics and Interactive Techniques, 2016Co-Authors: Qi Sun, Liyi Wei, Arie E KaufmanAbstract:Real walking offers higher immersive presence for virtual Reality (VR) applications than alternative locomotive means such as walking-in-place and external control gadgets, but needs to take into consideration different room sizes, wall shapes, and surrounding objects in the virtual and real worlds. Despite perceptual study of impossible spaces and redirected walking, there are no general methods to match a given pair of virtual and real scenes. We propose a system to match a given pair of virtual and Physical worlds for immersive VR navigation. We first compute a planar map between the virtual and Physical floor plans that minimizes angular and distal distortions while conforming to the virtual environment goals and Physical environment constraints. Our key idea is to design maps that are globally surjective to allow proper folding of large virtual scenes into smaller real scenes but locally injective to avoid locomotion ambiguity and intersecting virtual objects. From these maps we derive altered rendering to guide user navigation within the Physical environment while retaining visual fidelity to the virtual environment. Our key idea is to properly warp the virtual world appearance into real world geometry with sufficient quality and performance. We evaluate our method through a formative user study, and demonstrate applications in gaming, architecture walkthrough, and medical imaging.
