The U.S. government has invested $2 billion in quantum computing development, but the defense sector is falling seriously behind in migrating to post-quantum cryptography, according to a CoinDesk analysis. The author warns that once mature, quantum computers capable of cryptographically relevant operations will pose a fundamental threat to current encryption systems.

Details

Author Pruden argues that defending against the quantum threat requires a two-pronged approach: accelerating deployment of post-quantum cryptography standards and establishing regulatory frameworks for quantum technology development. Federal agencies are uneven in their migration progress, with some critical systems still using traditional encryption algorithms potentially vulnerable to quantum computers.

Editor: GoodInfo Global News Team

Microsoft has announced a major breakthrough in quantum computing, with its latest quantum chip achieving 1,000 times better reliability than its predecessor. This milestone represents a significant advance in quantum error correction, paving the way for practical quantum computing.

The core challenge in quantum computing has always been the fragility of qubits — tiny environmental disturbances can cause computation errors. Microsoft’s breakthrough lies in improved quantum error correction mechanisms, using more precise control and optimized encoding schemes to dramatically reduce error rates.

This advance is seen as a key step toward making quantum computing practical. The industry has long considered quantum error correction the biggest barrier to commercialization.

Industry Impact

This reliability leap could transform multiple industries. In pharmaceutical research, more reliable quantum computers could precisely simulate molecular-level chemical reactions, shortening drug development cycles. In finance, quantum optimization algorithms could handle portfolio optimization in seconds versus days for traditional supercomputers. In climate modeling, improved precision will help predict extreme weather events more accurately.

Microsoft’s advance positions it favorably in the quantum race against IBM, Google, and IonQ. While impressive, true commercialization still faces engineering challenges — translating single-chip reliability into large-scale stability remains the industry’s shared hurdle.

Perspectives

Supporters view the reliability breakthrough as a long-awaited turning point, marking quantum computing’s shift from theory to engineering. Physics professors note that error correction advances matter more than simply adding more qubits.

Skeptics caution that reliability gains don’t equal full computational supremacy. Quantum computing needs simultaneous progress in algorithm development and system integration. Some industry observers believe widespread quantum applications remain five to ten years away.

A research team at King’s College London has been granted access to Google’s most advanced quantum processor, marking a significant step for European quantum computing research. The team will be among the first academic institutions to remotely operate Google’s latest-generation quantum chip.

Google’s quantum computing division has made notable progress in quantum processor development in recent years. The latest-generation chip uses superconducting qubit architecture with significantly improved qubit counts and coherence times, providing a more powerful hardware platform for complex quantum algorithm experimentation.

The King’s College research team focuses on quantum error correction and quantum simulation. Error correction remains the core challenge for practical quantum computing — current quantum systems are highly susceptible to environmental noise, leading to calculation errors. The team plans to test novel error-correction encoding schemes on Google’s quantum chip, laying the groundwork for improved reliability and stability.

Team leaders said access to cutting-edge quantum chips will dramatically accelerate their research. Previously, academic institutions had limited opportunities to experiment on state-of-the-art quantum hardware, with most experiments confined to simulations or older equipment. Running directly on the latest quantum processors will help validate theoretical models under real conditions.

The collaboration reflects a growing ecosystem of partnerships between tech giants and academic institutions in quantum research. Google, IBM, and Microsoft have all opened their quantum computing platforms to attract top global research teams, jointly advancing quantum computing from laboratory to practical application.

Industry analysts predict that with continued improvements in quantum hardware capabilities and error-correction breakthroughs, a “quantum advantage” milestone — where quantum computers outperform classical computers in specific domains — could emerge within the next three to five years.

Source: Google News / Reuters

Security firm Project Eleven warned that quantum computers could threaten roughly 6.9 million BTC as early as 2030 under certain conditions, saying the “quantum moment” could hit “all at once.”

The Trigger

The immediate catalyst was an S-3 registration statement filed by Xanadu with the U.S. Securities and Exchange Commission (SEC). The filing registered up to 294 million shares for resale, meaning existing shareholders — including early investors and insiders — could potentially obtain legal permission to offload massive amounts of their holdings.

According to TipRanks, the scale of the filing far exceeded market expectations. For a quantum computing company with a relatively modest market capitalization, such a large potential overhang on secondary market liquidity created enormous selling pressure.

Market Impact

Following the news, Xanadu’s shares fell sharply from a level of several dollars per share in pre-market activity. The Quantum Insider reported that the stock hit a 67% decline, while trading platforms like Gotrade showed intraday losses touching 68%.

The selloff rippled across the broader quantum computing sector. Other quantum-related stocks, including QBTS and QUBT, experienced varying degrees of drag as investors reassessed risk in the space.

Industry Context

The quantum computing industry has been undergoing a critical transition from proof-of-concept to commercialization during 2025-2026. However, stocks in this sector have consistently faced challenges including high valuations, long investment horizons, and commercialization uncertainty. Xanadu’s dramatic decline served as a stark reminder of the investment risks inherent in emerging technology sectors.

Analysts noted that an SEC registration filing does not equate to an actual selloff — shareholders still need to find buyers to complete transactions. However, the filing’s existence does increase future supply-side pressure, creating a significant negative impact on market sentiment.

Outlook

Xanadu, a company at the forefront of photonic quantum computing, still enjoys technical backing from some investors. However, near-term recovery of market confidence will depend on how the company manages investor relations and whether actual shareholder selling materializes.

Source: The Quantum Insider, TipRanks

April 29, 2026 — Tech giant IBM and the Massachusetts Institute of Technology (MIT) today announced the establishment of the MIT-IBM Computing Research Lab, a joint research facility aimed at advancing cutting-edge research in artificial intelligence and quantum computing, further deepening their long-standing academic and industry partnership.

Background of the Collaboration

IBM and MIT have a rich history of collaboration in computing research. The two institutions have conducted years of joint research in fundamental AI, producing numerous significant results. The newly established computing research lab represents a major upgrade in their partnership, expanding the scope of research from traditional AI to include quantum computing.

Research Directions

According to MIT News, the new research lab will focus on several core areas:

Frontier AI Research: The lab will focus on developing more powerful and efficient AI models, particularly in large language models, AI agent systems, and multimodal learning. Research teams will explore next-generation AI architectures, advancing AI applications in scientific discovery, healthcare, and climate modeling.

Quantum Computing Breakthroughs: The lab will leverage IBM’s leading position in quantum hardware combined with MIT’s research strengths in quantum algorithms and theory, exploring pathways toward practical quantum computing. Research directions include quantum error correction, quantum machine learning, and classical-quantum hybrid computing architectures.

AI-Quantum Convergence: A unique aspect of the lab is its exploration of the intersection between AI and quantum computing. Research teams will investigate how quantum computing can accelerate AI training and how AI techniques can optimize quantum system performance.

Industry Significance

The announcement comes amid increasingly fierce global competition in AI and quantum computing. IBM has been making sustained investments in quantum computing in recent years, with its quantum processor roadmap achieving significant progress. Meanwhile, IBM completed its acquisition of Confluent, strengthening its capabilities in real-time data and AI infrastructure.

As one of the world’s premier research universities, MIT boasts formidable research strength in computer science, physics, and engineering. The collaboration model between the two institutions provides a new paradigm for academia-industry synergistic innovation.

Industry Impact

Analysts point out that the establishment of this joint lab will have a profound impact on the global AI and quantum computing research landscape. As large model training costs continue to rise and quantum computing commercialization accelerates, deep industry-academia collaboration is becoming a key pathway to driving technological breakthroughs.

The IBM-MIT partnership also reflects a trend in the tech industry: facing complex technological challenges like AI and quantum computing, no single institution can independently complete the full innovation chain from fundamental research to industrial application — cross-disciplinary collaboration is becoming the mainstream model.

Sources: MIT News | StreetInsider | WinBuzzer