惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
爱范儿
爱范儿
WordPress大学
WordPress大学
博客园 - 三生石上(FineUI控件)
J
Java Code Geeks
Vercel News
Vercel News
aimingoo的专栏
aimingoo的专栏
T
Tailwind CSS Blog
罗磊的独立博客
B
Blog
博客园_首页
A
About on SuperTechFans
有赞技术团队
有赞技术团队
V
V2EX
U
Unit 42
I
InfoQ
IT之家
IT之家
博客园 - 司徒正美
阮一峰的网络日志
阮一峰的网络日志
博客园 - 叶小钗
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
Stack Overflow Blog
Stack Overflow Blog
The Cloudflare Blog
H
Help Net Security

IBM Research

Introducing IBM and NASA’s new foundation model for the Moon Switzerland's first IBM Quantum System Two | IBM Quantum Computing Blog Cleveland Clinic, RIKEN, IBM named Gordon Bell finalists | IBM Quantum Computing Blog How llm-d makes the most of the hardware you already have Ponder This Challenge - September 2026 - Loeschian Arithmetic Progressions IBM Quantum Nighthawk r2—more circuits, faster | IBM Quantum Computing Blog What happens when information theory accounts for reasoning? Granite 4.2 brings native reasoning to enterprise agents Qiskit Fermions: a modular toolbox for fermionic systems | IBM Quantum Computing Blog IBM’s new modular architecture for cryogenic systems | IBM Quantum Computing Blog QOBLIB: tracking progress in quantum optimization | IBM Quantum Computing Blog DocLang: a markup language for LLMs From vision to reality: a unified AI solver for the grid The search for quantum advantage in differential equations Ponder This Challenge - August 2026 - The Wheel of Buttons Quantum advantage through trusted quantum computation | IBM Quantum Computing Blog All of AI benchmarking at your fingertips What are spin qubits? | IBM Quantum Computing Blog IBM to acquire HRL Laboratories IBM commits $50M in quantum access for US Genesis Mission It’s time for cryptography to get its own abstraction layer It’s time for cryptography to get its own abstraction layer This could be the largest synthetic code dataset yet How to measure the performance of a quantum computer | IBM Quantum Computing Blog Release News: Qiskit v2.5 is here! | IBM Quantum Computing Blog CoFrGeNets replace the ‘bones’ of transformer-based models How training environments can teach AI models to misbehave What’s new at IBM Quantum - Q2 2026 | IBM Quantum Computing Blog Modeling the chemistry of fusion reactor material | IBM Quantum Computing Blog Ponder This Challenge - July 2026 - Return of the Superheroes
What’s new at IBM Quantum - Q1 2026 | IBM Quantum Computi...
2026-04-20 · via IBM Research

Q1 2026

More runtime for Open Plan users

IBM Quantum Open Plan users are getting new learning resources, expanded QPU access, and a special one-time offer: eligible users can now unlock 180 minutes of runtime after using 20 minutes within past 12 months. Sign in to IBM Quantum Platform to view your status.

Check your eligibilityRead the blog

IBM Quantum Nighthawk chipIBM Quantum Nighthawk chipIBM Quantum Nighthawk chipIBM Quantum Nighthawk chip

  • Best EPLG

    0.19%

    On ibm_boston

  • Best CLOPS

    330K+

    Across 7 QPUs

  • Total available qubits

    2344

    Across 16 QPUs

  • Total papers

    5857

    Citing IBM Quantum or Qiskit

Learn quantum-HPC workflows

Dive into the world of quantum-centric supercomputing with our new course, "Integrating quantum and high-performance computing." Get free, hands-on guidance covering:

  • Computing resource management
  • Quantum and classical programming models
  • SQD and SKQD algorithms

Start the course(opens in a new tab)

Heron r3 & Nighthawk for deeper circuits

Target deeper, more demanding circuits on IBM’s latest QPUs. Heron r3 delivers low error rates for complex hybrid workflows. Nighthawk’s square-lattice connectivity enables new kinds of experiments, like a recent study using 2D disordered Heisenberg‑model simulations to examine the thermalization of isolated quantum many‑body systems.

Read the study(opens in a new tab)

Designing quantum projects

New course helps you make the most of expanded Open Plan runtime.

Learn how to:

  • Scope projects
  • Choose high-impact use cases
  • Secure funding

Start the course(opens in a new tab)

Qiskit v2.4—for software devs

Qiskit v2.4 makes it easier to build fast, compiled tooling. New C‑API features, improved Python extension support, and faster fault‑tolerant compilation. Better performance without requiring changes to existing workflows.

Read the release notes(opens in a new tab)

Additional updates

Introducing Qiskit Fermions

Qiskit Fermions is a new quantum chemistry library that extends Qiskit with tools for fermionic systems. Use built‑in fermionic mappers, operator tools, and an extensible circuit‑synthesis library—or build your own mappers and circuits with Python or the C API.

Browse the Github repo(opens in a new tab)

Tutorial: Low-overhead error detection with spacetime codes

Try out a novel method that uses spacetime codes to detect errors, balancing the accuracy of fault-tolerant error correction protocols with the lighter-weight computational cost of error mitigation.

Run the tutorial(opens in a new tab)

Qiskit Functions add real-time logs

Real-time execution logs provide visibility into execution stages, applied optimizations, and job metadata. Use `job.logs()` to monitor progress, debug failures faster, and analyze how Functions run—while they're running. Try it now in the Quantum Portfolio Optimizer Function, more soon.

Learn about real-time logs(opens in a new tab)

Recent blogs