WEBVTT

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Let's start with history.

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Quantum computing is built on quantum mechanics.

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In 1925, about 100 years ago, 50 sisters such as Hazenberg,

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Scheringer and Dirac formulated the mathematical foundation

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of the microscopic world.

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In 1981, Richard Feynman realized that if we want to generate an nature,

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we need a massing that is a quantum.

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A few years later, David Deutsche,

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homeralized this into the concept of a universal quantum computing.

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Universal quantum computer is a data-based system,

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capable of any computation,

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defining the standard for the modern quantum computer.

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The transition to reality, or hardware,

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was led by pioneers like Yasnovu Nakamura,

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who achieved the world's first superconducting cube in 1999.

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A major shift occurred around 2014,

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when John Malchines teams achieved high-fidelity quantum games.

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Then, in 2016, IBM launched the first quantum processor

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on the cloud, making the hardware accessible to everyone.

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This opened a door for some sort of associative robust

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like S to enter the field.

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To understand what quantum computing is,

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we must understand the cute.

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Unlike a classical bit-fetchy is a deterministic zero or one,

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a cube that exists in a superposition,

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a complex combination of both states simultaneously.

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We also utilize an entanglement,

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a deep correlation where the state of one cube

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is in standard influences,

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another regardless of distance.

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Mathematical, we will prevent this as a vector on the Brooks sphere.

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The Brooks sphere is a 3D geometric model used to be

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derived mathematical state of the single cube.

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Why is quantum quantum better than classical computer?

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It is not easy to discuss that in details here.

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There are many discussions about the dystopic.

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But L cubits living to the end dimension of Hilbert space.

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So, with just 300 cubits,

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the state space is larger than all atoms in the over the other universe.

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Cubits can all the possibility in this huge space.

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But however, the harsh reality that cubits are very fragile.

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They suffer from low fidelity and environmental noise.

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Unlike ideal math,

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we are how it does not work as predicted.

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So, what is this massing actually for?

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It is important to clarify.

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It is not the first version of your laptop.

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It is a tool for combinatorial complexity.

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Any problem where the possibilities grow exponentially

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is targeted for quantum.

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In quantum chemistry, we can simulate nitrogen,

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fixation for grain of fat levels.

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Logistics with global optimization problem at the scale of classical computer

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can't touch.

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And in security,

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this famous shows our algorithm.

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It is famous because it can solve large scale prime factorization

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at high speeds.

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To build these math,

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we use microscopic systems like artificial atoms in circuits.

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In principle, any physical system that

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obeys quantum mechanics can solve as quantum computing devise.

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Among the superconducting cubits,

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as a very leading candidate.

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This iconic structure is the golden shandelier.

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Additionally, refrigerator that cools down

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hardware to semi-calming,

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colder than the outer space to protect fragile quantum states.

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Looking at this,

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we are in the back end tube area of quantum.

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Like an egg, colossus,

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it is bulky, delicate,

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and require a massive infrastructure.

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The core challenge today is that the landscape is dominated

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by a closer existence.

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That comes like IBM and Google of a powerful world of gardens.

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This leads to vendor-locking and lack of transparency for researchers,

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who want to see how their quantum sets are optimized.

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There is no standardized open operating system

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that allows independent operators to build their own quantum cloud.

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This is the world we intended to break.

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So we are making octopuses.

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Sorry, we are making octopuses.

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The open quantum source chain

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for operators and users.

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Our goal is simple

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to democratize the quantum stack.

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This is a major junk effort between OSAT and university.

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We can put it to sick and TIS,

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this Japanese company.

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We are building an open infrastructure

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that is not tied to a single vendor,

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allowing the community to inspect,

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improve and innovate.

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Our architecture is a three-layer stack.

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Layer winds are front-end for user programming.

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Layer 2 is the cloud layer for job management on scaling.

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And layer 3 is the back end layer.

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How do we control it?

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By splitting this concept, we can provide

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stable environment for users

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who are handling the chaos of experiment

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how do we as in the background.

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Layer 1 is the front-end.

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The entry point for our users

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I have not expressed the defined data.

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This is basically a sequence of quantum gates,

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much like logical operations in classical computing.

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That's a manipulate the states of students.

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In octobus, these circuits are represented by open-casm.

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Open-casm is this problem.

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It's a defect standard for describing quantum circuits,

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made by IBM.

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Yeah, our front-end provider, both web UI

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or visual design and SDK for programmatic access

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learning researchers to build a complex quantum logic

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without worrying about the hardware specific pass control.

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It won't be nice.

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The cloud layer is orchestrating.

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It features an intuitive router based dashboard

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for real-time job monitoring.

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Users can visually compose the circuits,

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submit them, and track their progress in Stanford.

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After trying abstracting a way that

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low-level complexity or pass control.

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A pass control is

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refers to the precise micro-web signals

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is to physically manipulate the qubit.

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And the back-end layer, the octobus engine.

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The octobus engine handles transpilation.

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It delights abstracts to match the specific physical

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topology of the superconducting chip.

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Beneath the engine, device gateway translate

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these instructions into precise micro-web parts.

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This layer is also where we implement error mitigation.

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To fight the noise, we discussed earlier,

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ensuring the best possible results from noisy, noisy,

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noisy hardware.

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In March 2023,

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Japan, which is a strict milestone

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which will be the launch of its first domestic

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64 qubit massing at a weekend.

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This effort quickly expanded into a national infrastructure

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including the old Japanese system at Otsaka University.

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We also joined the AISP.

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The national institute of advanced industrial

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science and technology, in Japan,

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did the first massive issue that

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researchers and the industry patterns

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can access Japan's national quantum assets

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reliably and secure.

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Why does open source matters to

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so much for the future of quantum?

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It is a transparency of avoiding the blocking.

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In science, we must be able to verify

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results by inspecting the comparacles

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in August 2025.

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The Linux professional institute, LPI blog,

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featured octobus in their blog.

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They highlighted how open source communities

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are tackling the unique hardware specific

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challenge of quantum computing.

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Being recognized by the global Linux community

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as a learning example of international cooperation

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is a milestone for us.

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The LPI article suggests

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your expertise as OSS developers

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is exactly exactly what we need to

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be the next Linux for quantum.

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We are building the commingitory-bomb ecosystem

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that anyone can verify, improve and innovate.

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Okay.

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To conclude, the future of quantum must be open.

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Octopus is already a reality

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powering the national research infrastructure

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at weekend and Ossaka University today.

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It will need a daily dilution refrigerator

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to start.

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Please visit our public website.

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There's a here.

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There's a website.

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Right now, I'm going to try it yourself.

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We are building the Linux content.

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We want you to be a part of it

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with our GitHub reports.

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We're just playing with the demo.

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We published a guide paper

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about Octopus which explains our system

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in detail.

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Okay.

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Thank you very much.

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Thank you.

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We have time for a couple of questions.

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We have, let's say,

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three minutes if there are questions from the government.

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And there are plans to support the program.

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And we're just other than other things.

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Excuse me.

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Sorry.

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Are there any plans for my work?

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Are there other plans for my work?

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Are there other plans for my work?

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Are there other plans for my work?

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Yeah, yeah.

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Can you please repeat to put that?

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Yes.

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He asks the opportunity to support other language.

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Other quantum sector language.

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Okay.

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Yeah.

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We are planning.

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And there are many quantum,

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quantum presentations.

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Like QAR.

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Yeah.

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QAR is made by Microsoft's.

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Yeah.

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Yeah.

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Yeah.

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We are planning.

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Yeah.

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Okay.

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Are you planning to support

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other quantum buttons?

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Other than the spectrum back in the weeks.

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Why do you do that?

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Yeah.

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The question is,

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are we planning to other quantum devices?

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Like eunthrops?

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Or,

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eunthrops?

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Eunthrops?

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Yeah.

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Yeah.

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We also can University have

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a level of triple eunthrop.

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So, so, so.

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We are connecting them to, yeah.

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This to octopus.

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Yeah.

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Yeah.

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Yeah.

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That's me.

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If you come through,

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you have a physical type of integration between the,

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like, a special and a quantum system.

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Right now, you're confused about the quantum system.

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When you change the notes, you have no idea.

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A vision for the computer,

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a computing system, has this thing in relation to the interesting quantum system.

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Aye.

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Okay.

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The question is, are we planning to connect the system to HPC?

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Yeah, yeah, yeah, we are planning.

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Yeah, yeah.

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HPC on the QPU collaboration is a very popular now.

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So, we have projects to connect the system to HPC now.

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Thanks.

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Thank you.

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Thank you very much.

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Thank you.

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Thank you.

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Thank you.

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Thank you.