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Quantum Computing
Приєднався 6 лип 2018
Video content from EPiQC: Enabling Practical-scale Quantum Computation
Queue Bits Game Intro
Introduction to Queue Bits - a game in which Connect 4 meets superposition.
Queue Bits is a game in which Connect 4 meets superposition. Like the classical game, players drop tokens into a board, and the goal is to place 4 in a row or column. In this game, we explore the effect of superposition and the timing of measurement to encourage players to think through how strategy changes based on when measurement occurs. In all three superposition modes, instead of dropping tokens that are red or yellow, they are dropping tokens that may be in superposition - tokens have between a 25% and 100% probability of measuring the desired color. However, the timing of when measurement occurs changes what information you have and the significance of tokens in particular locations. In the first mode, the measurement occurs when the token is placed. In the second mode, measurement does not occur until the board is full, and then measurement occurs in the same order in which they were placed. In the final mode, measurement also does not occur until the board is full, but the players themselves take turns choosing which is the next to be measured.
Queue Bits is a game in which Connect 4 meets superposition. Like the classical game, players drop tokens into a board, and the goal is to place 4 in a row or column. In this game, we explore the effect of superposition and the timing of measurement to encourage players to think through how strategy changes based on when measurement occurs. In all three superposition modes, instead of dropping tokens that are red or yellow, they are dropping tokens that may be in superposition - tokens have between a 25% and 100% probability of measuring the desired color. However, the timing of when measurement occurs changes what information you have and the significance of tokens in particular locations. In the first mode, the measurement occurs when the token is placed. In the second mode, measurement does not occur until the board is full, and then measurement occurs in the same order in which they were placed. In the final mode, measurement also does not occur until the board is full, but the players themselves take turns choosing which is the next to be measured.
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Відео
qupcakes
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Introduction to Qupcakery - a quantum bakery game. Qupcakery is teaches basic quantum operations via a bakery game. Premise: You, Vamperette, work at a cupcake store. The head baker is a kind but absentminded vampire who often places the wrong cupcake on the conveyor belt to serve to the customer. Luckily, you have access to special technology that allows you to change the cupcake before it get...
SFQ-based two-qubit gates
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QCE 2021 BEST PAPER Scalability of today's superconducting quantum computers is limited due to the huge costs of generating/routing microwave control pulses per qubit from room temperature. One active research area in both industry and academia is to push the classical controllers to the dilution refrigerator in order to increase the scalability of quantum computers. Superconducting Single Flux...
EdX Imaginary Numbers in QIS
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In quantum information, we often work with imaginary numbers within quantum states because of phase. This video provides an introduction to imaginary numbers and where they are used in quantum information.
EdX Shor's Algorithm: A closer look at the quantum
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In this video, we focus on the quantum portions of Shor's Algorithm that factors integers.
EdX Superdense Codes
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Teleportation allows for the transmission of quantum information, but it is also possible to transmit classical information with a quantum channel. In this video, we will discuss superdense codes: an application of entanglement that allows for the transmission of two classical bits within a single qubit.
EdX Large-scale Entanglement with the GHZ Circuit
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Entanglement is not limited to just two qubits. Here, we will show how to generate GHZ states, or large-scale entanglement, using the GHZ circuit. We will also discuss the concept of maximal entanglement.
EdX Introduction to Shor's Algorithm
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EdX Introduction to Shor's Algorithm
Lecture11: Classical Simulations | Quantum Computer Systems @ UChicago, Yongshan Ding
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Lecture11: Classical Simulations | Quantum Computer Systems @ UChicago, Yongshan Ding
EdX Circuit Identities and Commutativity Rules
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EdX Circuit Identities and Commutativity Rules
Gleipnir: toward practical error analysis for Quantum programs
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Gleipnir: toward practical error analysis for Quantum programs
EdX Qubit Ordering: Textbook vs. Qiskit
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EdX Qubit Ordering: Textbook vs. Qiskit
Lecture10b: Calibration and Characterization | Quantum Computer Systems @ UChicago, Jonathan Baker
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Lecture10b: Calibration and Characterization | Quantum Computer Systems @ UChicago, Jonathan Baker
Lecture10a: Error Mitigation in Software | Quantum Computer Systems @ UChicago, Jonathan Baker
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Lecture10a: Error Mitigation in Software | Quantum Computer Systems @ UChicago, Jonathan Baker
Lecture9a: Noisy Quantum Systems | Quantum Computer Systems @ UChicago, Yongshan Ding
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Lecture9a: Noisy Quantum Systems | Quantum Computer Systems @ UChicago, Yongshan Ding
Lecture8a: Hybrid Quantum-Classical Algorithms | Quantum Computer Systems @ UChicago, Yongshan Ding
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Lecture8a: Hybrid Quantum-Classical Algorithms | Quantum Computer Systems @ UChicago, Yongshan Ding
Lecture7b: Compilation: Routing | Quantum Computer Systems @UChicago, Jonathan Baker
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Lecture7b: Compilation: Routing | Quantum Computer Systems @UChicago, Jonathan Baker
This video makes generating a GHZ state so clear! Thanks for the awesome high-quality content!
Thanks! Excellent explanation
Missed the most important part, how to encode the values being searched as input to Grover's algorithm. This video just shows how to get 100% yes result for absolutely anything you try to search for in a balanced superposition ... |00> yep, it's there. |01> , yep, etc. Kinda silly example?
Great lecture!
На мой арифметически простой взгляд, Сфера Блоха - это *не* физический объект. Можно сказать, что это условное вспомогательное мнемоническое представление о характере взаимодействия физических объектов. Природа не оперирует подобными трансцендентными представлениями. Поэтому на их основе невозможно строить логически правильные умозаключения о практической реализации этих представлений. 08.09.2024.
На интуитивном уровне предполагаю, что Природа оперирует квантовыми процессами в первую очередь в соответствии с симметричными кристаллографическими соотношениями. 13.09.2024.
Интересно, чт0, глядя на Сферу Блоха, рассказывает продвинутый Искусственный Интеллект (AI) о технической и технологической возможности / невозможности создания полноценно работающего квантового компьютера? 26.09.2024.
the algoritm itself seems quite straightforward and this presentation is really easy to understand. However I can't quite wrap my mid around the Uf operator... I mean, how can you implement such a gate physically without already knowing the function f.
Very good video thanks Hadamard gates always get confusing for me due to the blending of 0 and 1 qbit. IBM's qiskit handbook gets kind of confusing.
Clear and concise explanation!
this is very help full to understand , but video has audio problem @UChicago will fix it
1/root(2) [a|000>+a|011>+b|100>+b|111>] applying cnot where q1 is target and q2 & q3 are targets , we get 1/root(2) [a|000>+a|011>+b|111>+b|100>] but how are you getting 1/root(2) [a|000>+a|011>+b|101>+b|110>]
00:01 Quantum computer efficiency in cryptography and AI. 00:46 Quantum algorithms can solve problems with fewer guesses than classical algorithms 01:27 Quantum computers could render RSA cryptography useless 02:08 Black box is ideal for constructing quantum algorithms due to its generality. 02:50 Quantum Oracle outputs 1 only if both inputs are 1. 03:35 Quantum Oracle's must be reversible with equivalent inputs and outputs 04:20 Quantum computers can determine if an Oracle's function is constant or balanced efficiently 05:01 Quantum algorithm is more efficient due to asking the Oracle fewer times. Crafted by Merlin
Hi @Qunatum Computing, I have a doubt. In the Hamiltonian -1.0467 is the coefficient of sigma z I, why is it told in the video that we are trying to get +1 so that it cancel out with the coefficient of sigma z I ? Ultimately Hamiltonian as a whole should be smaller value right, so should'nt we try to make it more negative by getting -1 ?
i need cutqc HPC code any one have
thankyou
Amazing simplest explanation, Thank you
Amazing explanation
I like how those videos simplified quantum computing… thanks for your work 😊
useless just read the slides
It's so tough to not type "First Comment". So sorry my Quantum friends who will see this comment.
2:30 why that must be the initial state? three white balls and one black ball?
amazing! thanks for the videos!!
Emma stone?
I'm sorry but I find the explanations on both Bernstein-Vazirani and Archimedes to be very confusing and uneffective. They should really be improved and prepared better by the lecturer.
great video! benefit a lot from ur channel! please keep it up
very helpful! Big thanks to the video
Very helpful! Thank you!
How does it comes to know what is amplitude of the target i.e which amplitude to increase?
The Oracle marks target state by multiplying it on "-1". It's often made by using Z or CZ gates.
@@bobkr4725Yes but how does it know that it needs to apply a CZ gate to 1/2 |11>? Why not apply a CZ gate to 1/2 |00> ? Because otherwise, you would already where your element is.
The same questions as you, all tutorials are fuzzy about this point !@@ionescualexandru4748
@@ionescualexandru4748 from what I understand halfway so far: What we already know is the condition that the element needs to fulfil. And we check every state at once in the magic realm quantum computing, hence we know in one iteration where our element is. I will try to correct myself if I notice a mistake here P.S.: I was right. In the example, |11> was assumed as an output of the oracle block which finds the element. So the whole part you're / we're talking about in this thread is to amplify the already found element so that we can measure it at the output correctly.
i am writing a paper on QUANTUM COMPUTING ADVANCEMENTS: IMPLICATIONS FOR CYBERSECURITY and i have been looking for the easiest way to explain this Shor's Algorithm. Thanks for this informative video
@ 26:33 Nice to know, but why?
@ 13:31 Quantum Teleportation. And without any derivation he concludes: @ 19:29
A bit more energy and enthusiasm in the presentation wouldn't have hurt this video.
Great Explanation
From the bottom of heart I thank for the videos .. I would like to donate to if you accept
Very helpful thankyou… Please forgive me to help you… muchly no slight intended… Etcetera has no ‘k’
Fantastic video!
This is fantastic! 😄
Thanks
Is the archimedes ORACLE a theoretical construct in quantum computing that can be used as a building block for certain types of quantum algorithms or a real algorithm with practical use like Bosch's?
beautiful and brilliant. genetic lottery winner right here.
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Simple and clear.
Didactic lecture. Thank you.
Suggestion: A translucent basketball or some 3D image may result in better comprehension of viewers
A perfect answer to a question I struggled with! Thank you!
Way above my head..... thank god we have such smart people
So far these smart people are only successful in theory. In practice their success is still very, very limited. Only time will tell where they will end up.
0
Nice superposition examples--they require a change in our own perspective.
6:45 negative sign sounds like reflections which can be realized via transmission line theory. Open circuit, closed circuit and maximum power transfer into the load with no reflection are three cases.
This narrator has terrible diction. Please enunciate next time.
You are just awesome and I have an interview tomorrow with certain topics which is luckily covered here..Thank you soo much
Thankyou so much!