IBM Q 클라우드 업데이트(9월) 관련하여, 아래와 같이 안내 드립니다.

1. IBM Quantum Updates

⭘ IBM Pittsburgh Heron R3 출시 : https://quantum.cloud.ibm.com/computers?system=ibm_pittsburgh

2. IBM Quantum 홍보

⭘ IBM 홍보(1) : A new collaboration with AMD to develop QCSC

> 링크 바로가기 : https://newsroom.ibm.com/2025-08-26-ibm-and-amd-join-forces-to-build-the-future-of-computing

• IBM and AMD teams will explore how to best integrate quantum computing hardware and software from IBM with AI

accelerators (such as GPUs), and high-performance computing (HPC) engines from AMD.

• Pairing quantum computers with HPC resources in this way allows us to run workloads that we believe will soon surpass

classical HPC compute architectures alone. (See some examples of exciting QCSC work here: arXiv:2507.18817;

arXiv:2312.09733)

• We're also jointly exploring open-source approaches, including Qiskit, to ensure scalability and community adoption. 

In parallel, we are evaluating AMD GPU and FPGA technologies for potential integration into IBM Quantum computers to

support the decoders needed for fault-tolerant systems.   

⭘ IBM 홍보(2) : Quantum Advantage

> 링크 바로가기 1) : https://arxiv.org/abs/2506.20658

> 링크 바로가기 2) : https://www.ibm.com/quantum/blog/quantum-advantage-era

The first claims of quantum advantage are emerging, but how will we know when it's really arrived? 

Researchers from IBM® and quantum startup Pasqal explore this and other questions in a new white paper now on arXiv.

⦁ Quantum advantage is a solution such that:

i) the correctness of the output can be rigorously validated

ii) it is performed with a quantum separation that demonstrably offers superior efficiency, cost-effectiveness, or accuracy than what is attainable with classical computation alone

⦁ The three pathways towards establishing trust for quantum advantage are: 

i) methods that provide provable confidence bounds (error mitigation, error correction)

ii)algorithmic approaches (variational methods) that guarantee upper bounds for solutions

iii) problems with efficient classical verification (eg. peaked circuits)

⭘ IBM 홍보(3) : USC Research

> 링크 바로가기 1) : https://journals.aps.org/prx/abstract/10.1103/PhysRevX.15.021082

> 링크 바로가기 2) : https://www.ibm.com/quantum/blog/simons-problem-quantum-speedup

Researchers at the University of Southern California (USC) published results in Physical Review X that demonstrate exponential algorithmic speedup for a modified version of Simon’s problem using IBM quantum computers.

Through optimization and noise suppression efforts, the researchers were able to show that a quantum player could win exponentially faster than any classical one. 

They observed the speedup on problem sizes up to 58 qubits for Hamming weights up to w=7. For Hamming weights of w=8 and w=9, the quantum algorithm no longer showed advantage due to the increased circuit depth.

⭘ IBM 홍보(4) : What’s new at IBM Quantum H1 2025?

> 링크 바로가기 1) : https://www.ibm.com/downloads/documents/us-en/137a1e23d85ba636

> 링크 바로가기 2) : https://www.ibm.com/quantum/blog/whats-new-h1-2025

[Performance improvements]

⦁ Speedups in hardware performance 

 : Recent performance gains mean you can run the landmark IBM quantum utility experiment 85x faster than the original. Run tutorials to test the latest metrics

⦁ Measurement fidelity gains on Heron devices

: Heron chips now offer improved readout fidelity for more accurate results. Compare QPUs

[Ecosystem & Research Highlights]

⦁ IBM Quantum System Two co-located with Supercomputer Fugaku

: Explore hybrid quantum–HPC experiments combining IBM Quantum System Two with Japan’s top classical HPC system. See integration use cases →

⦁ Updated roadmap to large-scale, fault-tolerant quantum computing

: Get a preview of what’s next at IBM Quantum as we progress toward large-scale, fault-tolerant quantum computers. Explore the roadmap →

3. IBM Q 클라우드 사용량 관련 Q&A : 공지사항 바로가기

    > 이전까지 센터에서 제공하는 IBM Q 클라우드의 경우 사용량이 제한되어 있지 않았으나,

IBM Q 자체 시스템 업데이트로 인하여 사용량의 제한이 생기게 되었기에 아래와 같이 안내 드립니다.

    > 관련 Q&A는 [양자정보연구지원센터 홈페이지 > IBM Q 클라우드 공지사항]을 확인해주시길 바라며, 이외에 추가적으로 궁금하신 부분이 생기실 경우 ‘q.cloud@skku.edu' 메일로 문의주시면 순차적으로 회신 드리겠습니다.

4. 문의처

    > 양자정보연구지원센터 클라우드 : q.cloud@skku.edu

    > IBM 문의처(IBM Technical Support Team)

      1) 메일 문의 : ibmquantum@ibm.com(2025년 9월 부터는 메일 문의 사용 불가)

      2) 홈페이지 문의 : Support - IBM Cloud(클릭) > 로그인 > 토픽 선택(Qiskit Runtime) > 문의하기

          (에러 코드가 이해되지 않거나 시스템 사용 중에 문의사항 있을 시 기술 지원을 받을 수 있습니다.)