Introduction to Qiskit | Coding with Qiskit 1.x | Programming on Quant…

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작성자 bryanai 작성일 24-11-09 10:28 조회 1,116 댓글 0

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Introduction to Qiskit | Coding with Qiskit 1.x | Programming on Quantum Computers

https://www.youtube.com/watch?v=Tk9LOL9--Y4

Here is a summary of the transcript in bullet points:

Introduction to Qiskit 1.0: This YouTube series aims to bring viewers up to date with the latest advancements in quantum computing, focusing on Qiskit, an open-source SDK for building quantum circuits, designing algorithms, and managing quantum workloads.
Significance of the "Utility Era": Recently, quantum computers have achieved sufficient scale and reliability, allowing them to be a valid scientific research tool. This era is marked by increased complexity in quantum workflows, often requiring all available qubits on IBM’s 127-qubit chips.
Advancements in Qiskit 1.0: Qiskit has transitioned to version 1.0 to support this new era, emphasizing stability, efficiency, and developer-readiness as a robust platform for quantum computational workflows.
Performance Improvements: Qiskit 1.0 is optimized for faster processing and lower memory usage, enabling it to handle circuits with over 100 qubits and thousands of gates more conveniently and efficiently.
Leaner Architecture: The new version has a more focused structure with deprecated modules and separated packages, like Qiskit algorithms, making it easier to maintain and use.
Extended Support: Bug fixes and stable support have increased from 6 to 18 months, ensuring users can rely on version 1.0 for longer without breaking changes.
New Features – Primitives and Dynamic Circuits: Primitives (sampler and estimator) are now the access models for quantum hardware, enhancing consistency. Dynamic circuits enable complex logic within quantum circuits, improving operations like entanglement, gate teleportation, and error correction.
Customization and Ecosystem Expansion: Qiskit 1.0 supports custom transpiler plugins and other extensions, allowing users to build on and share within the Qiskit ecosystem.
Next Steps: The following video in the series will cover installing Qiskit 1.0, suitable for both new and experienced users.

전사본의 요점을 요약하면 다음과 같습니다.

Qiskit 1.0 소개 : 이 YouTube 시리즈는 시청자에게 양자 컴퓨팅의 최신 발전 사항을 알리는 것을 목표로 하며, 양자 회로 구축, 알고리즘 설계, 양자 작업 부하 관리를 위한 오픈소스 SDK인 Qiskit에 초점을 맞춥니다.
"유틸리티 시대"의 중요성 : 최근 양자 컴퓨터는 충분한 규모와 신뢰성을 달성하여 유효한 과학 연구 도구가 되었습니다. 이 시대는 양자 워크플로의 복잡성이 증가하여 IBM의 127큐비트 칩에서 사용 가능한 모든 큐비트가 필요한 경우가 많습니다.
Qiskit 1.0의 발전 사항 : Qiskit은 이 새로운 시대를 지원하기 위해 버전 1.0으로 전환했으며, 양자 컴퓨팅 워크플로를 위한 강력한 플랫폼으로서 안정성, 효율성 및 개발자 준비성을 강조했습니다.
성능 개선 : Qiskit 1.0은 더 빠른 처리와 더 낮은 메모리 사용량에 최적화되어 100개가 넘는 큐비트와 수천 개의 게이트가 있는 회로를 보다 편리하고 효율적으로 처리할 수 있습니다.
더욱 간소한 아키텍처 : 새로운 버전은 더 이상 사용되지 않는 모듈과 Qiskit 알고리즘과 같은 분리된 패키지를 사용하여 더욱 집중된 구조를 갖추고 있어 유지 관리와 사용이 더욱 쉬워졌습니다.
연장 지원 : 버그 수정과 안정적인 지원 기간이 6개월에서 18개월로 늘어났으며, 이를 통해 사용자는 중단 변경 없이 버전 1.0을 더 오랫동안 사용할 수 있습니다.
새로운 기능 – 기본 및 동적 회로 : 기본(샘플러 및 추정기)은 이제 양자 하드웨어의 액세스 모델이 되어 일관성을 향상시킵니다. 동적 회로는 양자 회로 내에서 복잡한 논리를 가능하게 하여 얽힘, 게이트 순간이동 및 오류 수정과 같은 작업을 개선합니다.
사용자 정의 및 생태계 확장 : Qiskit 1.0은 사용자 정의 트랜스파일러 플러그인과 기타 확장 기능을 지원하여 사용자가 Qiskit 생태계 내에서 빌드하고 공유할 수 있습니다.
다음 단계 : 이 시리즈의 다음 영상에서는 신규 사용자와 숙련된 사용자 모두에게 적합한 Qiskit 1.0을 설치하는 방법을 다룹니다.

Introduction to Qiskit | Coding with Qiskit 1.x | Programming on Quantum Computers - YouTube

https://www.youtube.com/watch?v=Tk9LOL9--Y4

Transcript:

(00:01) [Music] the point of this YouTube series is to get you up to speed with the latest developments in quantum computers for your own work the foundation and focus will be on kissk 1 an open source and freely available software development kit that allows you to program useful Quantum computational workflows all the way from building Quantum circuits and designing Quantum algorithms to submitting them to real quantum computers and orchestrating large scale complex workloads as some of you may know kkit has been around for 6 years

(00:33) already and there have even been previous iterations of the coding with kkit Series in fact it was through the first season that I got my start in Quantum Computing so it's really cool to be hosting this series now so why are we back again in just the past year or so we've seen major developments in Quantum Computing most notably with the onset of the utility era where quantum computers have now reached a level of scale and reliability such that researchers can now use them as a legitimate tool for scientific exploration as highlight in a

(01:00) research nature paper by IBM Quantum and you can learn more about it in another video on this channel linked Below in the utility era Quantum computational workflows will only grow in scale and complexity already we're seeing high impact scientific papers that use every Cubit on IBM's 127 Cubit chips thousands of gates in a circuit and tens to hundreds of thousands of circuits in a workflow we're seeing the proliferation of methods like circuit cutting and air mitigation that require fluid orchestration between multiple classical

(01:29) and quantum computers simply the technology has evolved dramatically and using these larger systems can be quite different than the five or seven cubba chips we might be used to to support this new era we graduated kuit from its development phase to version 1.0 with 1.0 onwards we expect kid get to become much more stable efficient and the developer ready software backbone for Quantum computational workflows and so as described in detail on the blog post link below kkit 1.

(01:57) 0 will specifically emphasize several new values one it'll be highly performant we've seen steady improvements over the years but kit 1.0 will be the best version yet it'll be faster and take up less memory making convenient and fast a transpile circuits with 100 plus cubits and thousands of gates two it'll be leaner we've removed the meta package architecture spun off some packages like kk.

(02:21) algorithms into a separate one and deprecated modules like kk. opflow to make it more focused and maintainable three kidk 1.0 will be more stable in particular we've gone from promising bug fixing support for 6 months in the pre 1.0 versions to 18 months of stable support without breaking changes feature-wise there's a lot coming too first Primitives in the form of sampler and estimator are now the access model for Quantum Hardware this is improving upon the backend.

(02:49) run method that you might be familiar with from the pre 1.0 versions Primitives will ensure that access to Quantum Hardware is consistent and reliable second kitkit 1.0 is ready for dynamic circuits enabling complex logic within a Quantum circuit to more efficiently generate entangled States teleport longrange Gates and pave the path toward air correction finally we're making it easy to build on kkit it'll be straightforward to for instance build your own transpiler plug-in extend kkit capabilities for your own needs and

(03:18) share your code throughout the kkit ecosystem we'll be highlighting all of these new aspects throughout the series but our first stop in the next video will be to install kkit this video will be useful for experiencing users and newcomers alike so be sure to check it out in the meantime let us know what you'd be excited to learn more about and we'll take into account your feedback as we plan the rest of the series thanks for watching [Music]

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