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

A
About on SuperTechFans
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
T
Tenable Blog
WordPress大学
WordPress大学
小众软件
小众软件
Y
Y Combinator Blog
酷 壳 – CoolShell
酷 壳 – CoolShell
博客园 - 聂微东
大猫的无限游戏
大猫的无限游戏
T
The Exploit Database - CXSecurity.com
Attack and Defense Labs
Attack and Defense Labs
Simon Willison's Weblog
Simon Willison's Weblog
C
CXSECURITY Database RSS Feed - CXSecurity.com
量子位
有赞技术团队
有赞技术团队
C
Cisco Blogs
D
Darknet – Hacking Tools, Hacker News & Cyber Security
F
Fortinet All Blogs
S
Schneier on Security
Engineering at Meta
Engineering at Meta
Microsoft Azure Blog
Microsoft Azure Blog
Martin Fowler
Martin Fowler
Recent Announcements
Recent Announcements
Stack Overflow Blog
Stack Overflow Blog
Recent Commits to openclaw:main
Recent Commits to openclaw:main
阮一峰的网络日志
阮一峰的网络日志
G
GRAHAM CLULEY
Spread Privacy
Spread Privacy
F
Full Disclosure
Scott Helme
Scott Helme
GbyAI
GbyAI
N
Netflix TechBlog - Medium
MyScale Blog
MyScale Blog
Cloudbric
Cloudbric
云风的 BLOG
云风的 BLOG
L
LangChain Blog
aimingoo的专栏
aimingoo的专栏
Hacker News - Newest:
Hacker News - Newest: "LLM"
Security Latest
Security Latest
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
MongoDB | Blog
MongoDB | Blog
The GitHub Blog
The GitHub Blog
The Register - Security
The Register - Security
L
Lohrmann on Cybersecurity
PCI Perspectives
PCI Perspectives
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
D
Docker
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
S
Secure Thoughts
C
Check Point Blog

IBM Research

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 Apply to IBM Quantum Developer Conference 2026 | IBM Quantum Computing Blog Qiskit Paulice: postselected quantum error correction | IBM Quantum Computing Blog What is IBM’s nanostack chip architecture? IBM introduces the smallest computer chip in the world A new playbook for quantum optimization benchmarking Running AI on mixed hardware for speed and affordability Explore next-gen quantum algorithms with IBM Quantum Credits | IBM Quantum Computing Blog Allstate explores quantum computing for insurance portfolios | IBM Quantum Computing Blog Can LLMs discover quantum error correction codes? Prototype and validate fermionic circuits faster with ffsim | IBM Quantum Computing Blog Bringing the power of semantic AI to IBM Db2 The fast Fourier transform, how and why it works Building AI more like software The future of quantum takes center stage at NY Tech Week Qiskit Fall Fest 2026: Applications open | IBM Quantum Computing Blog IBM to invest $10 billion in quantum computing | IBM Quantum Computing Blog Renowned mathematician Subhash Khot joins IBM Research Ponder This Challenge - June 2026 - The Superhero Team Movies New Classroom Accounts expand quantum access for educators | IBM Quantum Computing Blog Qiskit Global Summer School 2026: Registration now open | IBM Quantum Computing Blog How researchers built a record-setting quantum circuit | IBM Quantum Computing Blog IBM charts a new research path with MIT How IBM is using quantum computing to understand the operating system of the universe How to use sample-based quantum diagonalization on IBM hardware Quantum-centric supercomputing simulates 12,635-atom protein | IBM Quantum Computing Blog A decade of quantum on the cloud | IBM Quantum Computing Blog Ponder This Challenge - May 2026 - The Powers of a Binary Matrix Where the frontiers of high-speed racing and computing meet Introducing the IBM Granite 4.1 family of models Building the future of computing, together Next-generation algorithms could move fusion from the lab to the grid Bringing quantum-centric supercomputing to Illinois What’s new at IBM Quantum - Q1 2026 | IBM Quantum Computing Blog Release News: Qiskit v2.4 is here! | IBM Quantum Computing Blog How IBM Quantum is enabling healthcare and biology research | IBM Quantum Computing Blog How an extra training step can unlock AI’s reasoning power IBM demonstrates extreme scale for content-aware storage with a 100-billion vector database Ponder This Challenge - April 2026 - The Unlabeled Clock IBM Research and ETH Zurich open a new era of innovation IBM’s newest time-series models cover a full range of enterprise prediction tasks Toward a transparent supply chain for AI Quantum computers take a step into real materials science Donating llm-d to the Cloud Native Computing Foundation Cleveland Clinic & IBM debut new quantum simulation workflow | IBM Quantum Computing Blog Turning turbulence into transcripts Like the information in a dream: IBM’s Charles H. Bennett receives ACM Turing award Doubling down on open-access quantum computing | IBM Quantum Computing Blog Unveiling the first reference architecture for quantum-centric supercomputing Realizing Feynman’s vision for the future of simulation | IBM Quantum Computing Blog Building PyTorch-native support for the IBM Spyre Accelerator Quantum simulates properties of the first-ever half-Möbius molecule, designed by IBM and researchers A look back at the International Year of Quantum | IBM Quantum Computing Blog TerraStackAI: Bringing Earth and space AI to Red Hat and the world Ponder This Challenge - March 2026 - Path game on a hole-riddled chessboard IBM demonstrates High NA EUV process capability on track for insertion below 2 nm nodes at SPIE 2026 Quantum Advantage Tracker: the race to advantage | IBM Quantum Computing Blog
IBM is working today to secure communication from tomorrow’s quantum risks
Mike Murphy · 2026-03-09 · via IBM Research

Every day, millions of people across the globe rely on messaging services to connect with family, friends, and businesses. As the mobile revolution took place, these apps became the backbone for modern communication.

Over the years, powerful and secure messaging services have sprung up. Launched in 2014, Signal has become one of the most popular secure messaging apps in the world. And it takes its promise to offer cross-platform communication that can’t be snooped on by Signal, or anyone else, very seriously. Users can create group chats and even video calls that are end-to-end encrypted, meaning the encryption keys to unlock the information in the chats are generated and stored on user’s devices — not on Signal’s servers.

Breaking through this kind of encryption is practically impossible with even the most capable classical supercomputers, unless you have a spare billion years to kill. But a major computing revolution underway today may soon change that.

Quantum computing has moved from theoretical physics to practical engineering in the last few decades, with IBM leading the charge. While classical computers process information using bits (discrete 1s or 0s), quantum computers use qubits. Through a property called superposition, qubits can represent a complex combination of states (all the probabilities of 1s and 0s), and the property of entanglement, which essentially links the qubits together, allowing the machine to explore vast computational possibilities. This gives quantum machines the potential to be exponentially faster at specific tasks, such as factoring incredibly large numbers that would allow them to crack the mathematical encryption problems that keep data safe online today.

As powerful quantum computers that could break through the security that everything from the internet to health records rely upon become closer to a reality, security researchers have worked to create new algorithms that these systems can’t crack. In 2024, the US National Institute of Standards and Technology (NIST) published its first set of three “post-quantum” (as in, after large-scale quantum systems are available) cryptography standards. Two of them were developed by IBM Research scientists, and the third was co-developed by a scientist who has since joined IBM Research.

While these standards are a crucial step toward helping businesses and organizations prepare for our post-quantum future, they won’t be applicable in every situation. Some applications require more advanced cryptography that doesn’t yet have, and in some cases may never have, an efficient quantum-safe version. The less efficient schemes produce a lot more communication than classical schemes, the transmission of which would cost companies a significant sum. “Nobody wants to use more cryptography than they really need,” said Vadim Lyubashevsky, principal research scientist at IBM Research working on quantum-safe cryptography.

The applicability challenge led a team of researchers to think about what comes after the initial standards. “Now we’re working on more advanced cryptographic primitives that are used within interesting technology systems where they don’t have nice quantum-safe equivalents that you can just plug in,” Lyubashevsky said. Through the team’s connection to Signal’s developers, the researchers started thinking about how they could make group messaging on the platform quantum safe.

Signal’s team has built a robust security platform that tells them as little as possible about its users. This includes metadata linked to who originated messages, or who is joining or leaving groups, and controls to ensure that malicious actors can’t join groups and grab data. One of the biggest security risks organizations are facing right now is called “harvest now, decrypt later,” where an attacker gains access to a system and grabs whatever data they can, and stores it until they can crack it in the future with advanced technologies, including a powerful enough quantum system. Signal has been protecting user data, including messages, media, and calls, from these attacks since 2023, and strengthened its defense with another protocol upgrade (called SPQR) in 2025.

But for a future where more powerful quantum computers exist, the threat of malicious actors who could attempt to break through Signal’s encryption for metadata like group membership still exists. When trying to port the existing Signal protocol for protecting this metadata to quantum-safe, the team quickly realized that just replacing the current components with their quantum-safe versions would likely lead to an up to a hundredfold increase in Signal’s bandwidth. This meant they would need to redesign the protocols from the ground up for speed and communication efficiency.

In the existing private group protocol, Signal’s server acts as the gatekeeper, but the team at IBM had the idea to make group members themselves guards, which can be more efficient for both classically secure and quantum-safe systems. In their design, the server’s job is to store encrypted group data and enforce who can write to a group in what position. Every group would get its own pseudonym key for each member, meaning the server can see if “member #3 of this group” performed an operation, but it can’t link that pseudonym to the user’s real identity. Other group members can link actions to the right member for accountability.

To implement this design, ML-DSA (a lattice-based algorithm chosen for general-purpose digital signature protocols), one of the two IBM-developed algorithms that NIST standardized, was modified to support key re-randomization.

The team also created a new security model that captures whether users are admins or just members of a group, and whether servers or members have been compromised. In short, in collaboration with the Signal engineers, they proposed a ground-up redesign that would make Signal’s private group system efficient, quantum-safe, more modular, auditable, and easier to maintain, while keeping the same privacy guarantees against Signal’s own servers.

The team behind the work is presenting their research this week at the Real-World Crypto (RWC) conference, and Signal plans to explore what potentially implementing their suggestions would look like.

Threema’s path to quantum safe

Much like with any major transition, there’s rarely a one-size-fits-all approach for securing systems for our post-quantum future. Many organizations will likely take similar approaches as the reality of quantum systems that will be able to break encryption looms larger.

Threema, another major secure messaging service, recently announced that it’s working with IBM to implement quantum-safe cryptography into its messaging system. The Swiss company is working with IBM’s cryptography research team to figure out the best path forward. Together, they’re exploring how ML-KEM (a key encapsulation mechanism selected for general encryption, such as for accessing secured websites), the second of the two IBM-developed algorithms standardized by NIST, can be implemented into their messaging system.

“The scientists at IBM have incredible expertise in quantum-safe cryptography,” Threema CEO Robin Simon said recently. “This collaboration and the pooling of our expertise lay the foundation for the quantum-secure communication of tomorrow.”

Signal and Threema are just two of the latest examples of organizations and industries tackling the need to update their technologies’ cryptography to get quantum safe. With proactive work like this, we can keep everything we do — including communicating online — secure.