"Quantum image processing"의 두 판 사이의 차이
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===위키데이터=== | ===위키데이터=== | ||
* ID : [https://www.wikidata.org/wiki/Q30693577 Q30693577] | * ID : [https://www.wikidata.org/wiki/Q30693577 Q30693577] | ||
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| + | == 노트 == | ||
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| + | ===말뭉치=== | ||
| + | # With some extra resources, it becomes possible, and it is exactly the aim of phase kickback.<ref name="ref_90cadc30">[https://nosarthur.github.io/quantum%20information%20and%20computation/2018/01/26/kickback.html Phase kickback]</ref> | ||
| + | # Thus the phase kickback is either \(0\) or \(\pi\), which is particularly easy to distinguish since they are eigenstates of \(\sigma_x\).<ref name="ref_90cadc30" /> | ||
| + | # This happens because of phase kickback.<ref name="ref_a95bd4a1">[https://medium.com/@varsg007/phase-kickback-658b33f28a33 Phase Kickback]</ref> | ||
| + | # Postdoctoral researcher Ben Criger (QuTech) introduces in this video the concept of quantum phase kickback, which is a powerful tool in extracting information out of your system.<ref name="ref_bd3998b8">[https://www.qutube.nl/advanced-theory/quantum-phase-kickback-139 Quantum Phase kickback]</ref> | ||
| + | # Many quantum algorithms are based upon the concept of quantum phase kickback.<ref name="ref_bd3998b8" /> | ||
| + | # This is an example of kickback (or, phase kickback ) which is very important and is used in almost every quantum algorithm.<ref name="ref_24349f27">[https://qiskit.org/textbook/ch-gates/phase-kickback.html Phase Kickback]</ref> | ||
| + | # The circuit then propagates these errors to the auxiliary qubit using the principle of phase kickback.<ref name="ref_7b735d92">[https://docs.microsoft.com/en-us/samples/microsoft/quantum/quantum-syndrome/ Measuring quantum error syndromes with Q\# - Code Samples]</ref> | ||
| + | # The basic maneuver leading to the phase-estimation algorithm is known as phase kickback.<ref name="ref_992a3604">[https://www.sciencedirect.com/topics/engineering/phase-estimation Phase Estimation - an overview]</ref> | ||
| + | ===소스=== | ||
| + | <references /> | ||
2020년 12월 27일 (일) 05:52 판
노트
말뭉치
- Quantum image processing is a subcategory that concentrates on converting the traditional image processing algorithms for quantum computing environments.[1]
- This chapter also focusses on the Quantum image processing algorithms like filtering, edge detection, and scrambling.[1]
- This book provides a comprehensive introduction to quantum image processing, which focuses on extending conventional image processing tasks to the quantum computing frameworks.[2]
- The demand for faster and more efficient means of storing images would highly benefit systems like this and are the reasons quantum image processing is in demand.[3]
- In this work, a quantum image processing algorithm is developed using the edge extraction method together with the Kirsch operator.[4]
- In quantum image processing, the complexity depends on the number of elementary gates.[4]
- Then, we analyze the storage and computing performances of quantum Boolean image processing (QuBoIP), and conclude that QuBoIP has almost no significance for development of quantum image processing.[5]
- Although quantum measurement is the open issue of quantum image processing, quantum image processing deserves further research and are significant.[5]
- In conclusion, we believe that this comment is helpful for the developing of quantum image processing by clarifying these confusing questions proposed by Mario Mastriani.[5]
- This paper presents a number of problems concerning the practical (real) implementation of the techniques known as quantum image processing.[6]
- Quantum image processing (QIP) is an emerging sub-discipline that is focused on extending conventional image processing tasks and operations to the quantum computing framework.[7]
- It provides a comprehensive look into quantum image algorithms to establish frameworks of quantum image processing.[8]
- The last step of the proposed implementation of photonic-FRQI quantum image processing entails, as with other quantum information processing procedures, recovering the final state of the image.[9]
- However, for the FRQI quantum image processing, the target is to determine the new state (after numerous modifications) of the photons used to encode the content of the original image.[9]
- These multiple control-conditions have so far proven to be the main obstacle mitigating meaningful FRQI quantum image processing on photonic quantum computers.[9]
- The first device needed in the photonic quantum image processing architecture is the photon source.[9]
소스
- ↑ 1.0 1.1 Quantum Image Processing and Its Applications
- ↑ Quantum Image Processing
- ↑ A Review on Quantum Image Processing
- ↑ 4.0 4.1 Quantum image processing algorithm using edge extraction based on Kirsch operator
- ↑ 5.0 5.1 5.2 A comment on "Quantum image processing?"
- ↑ Quantum image processing?
- ↑ Recent advances and new insights into quantum image processing
- ↑ Examining Quantum Algorithms for Quantum Image Processing by HaiSheng Li
- ↑ 9.0 9.1 9.2 9.3 Quantum Computation-Based Image Representation, Processing Operations and Their Applications
메타데이터
위키데이터
- ID : Q30693577
노트
말뭉치
- With some extra resources, it becomes possible, and it is exactly the aim of phase kickback.[1]
- Thus the phase kickback is either \(0\) or \(\pi\), which is particularly easy to distinguish since they are eigenstates of \(\sigma_x\).[1]
- This happens because of phase kickback.[2]
- Postdoctoral researcher Ben Criger (QuTech) introduces in this video the concept of quantum phase kickback, which is a powerful tool in extracting information out of your system.[3]
- Many quantum algorithms are based upon the concept of quantum phase kickback.[3]
- This is an example of kickback (or, phase kickback ) which is very important and is used in almost every quantum algorithm.[4]
- The circuit then propagates these errors to the auxiliary qubit using the principle of phase kickback.[5]
- The basic maneuver leading to the phase-estimation algorithm is known as phase kickback.[6]