Don’t “Neglecton” Quantum Architectures, August 2025
GM frens, this is the Quantum Doom Clock with Colton Dillion and Rick Carback, the founders of Quip Network, onramping the world to quantum computing subnets protected by post-quantum cryptography on every chain.
The highlight of this month is Fujitsu’s official announcement of their 10,000-qubit quantum computer project, targeting completion by 2030. This isn’t just another research milestone—it’s a fully funded, government-backed industrial project that signals quantum computing’s transition from laboratory curiosity to strategic national infrastructure.
Chiplet Architectures Could Lead the Scaling Revolution
It is not just about qubit counts—it is about architecture. Rigetti’s 36-qubit Cepheus-1-36Q system represents the industry’s first practical success with chiplet-based quantum computing. By achieving a 2x reduction in two-qubit gate error rates compared to their previous 84-qubit monolithic system, Rigetti is following in Google Willow’s footsteps and showing a modular quantum architecture that should deliver measurably better performance that you can use today.
We think maintaining coherence and control fidelity as systems grow larger is the name of the game. Instead of building ever-larger monolithic quantum processors that become increasingly difficult to control, architectures like these chiplets are an option to build smaller, high-fidelity quantum processing units to work together seamlessly.
Speaking of monoliths, QuamCore secured $26 million in Series A funding to build what they claim will be the first million-qubit quantum computer. Their approach addresses the cabling bottleneck that has historically limited quantum system scaling by integrating qubit control components directly into the cryogenic environment.
Japan Goes All-In on Quantum Sovereignty
Japan made a bold statement this month with two major quantum announcements that signal the country’s commitment to quantum independence. First, Japan launched its first fully homegrown quantum computer, developed entirely with domestic components and software. This achievement reduces Japan’s dependence on foreign quantum technologies and demonstrates the country’s growing quantum capabilities.
As we mentioned in the highlight, Fujitsu’s 10,000-qubit quantum computer project, officially launched with backing from Japan’s NEDO organization. The system will operate with 250 logical qubits using Fujitsu’s "STAR architecture" and target completion by fiscal 2030. This isn’t just a research project—it’s a fully funded industrial initiative aimed at making Japan a global leader in fault-tolerant quantum computing.
The project will focus on four critical scaling technologies: high-precision qubit manufacturing, chip-to-chip interconnect technology, high-density packaging with low-cost qubit control, and advanced quantum error correction decoding. Fujitsu’s roadmap extends beyond 2030, targeting 1,000 logical qubits by 2035 through integration of superconducting and diamond spin-based qubits.
Error Correction Breakthroughs Continue
The quantum error correction landscape experienced several major breakthroughs this month, bringing fault-tolerant quantum computing closer to reality.
USC researchers made headlines with their discovery of "neglecton" particles—previously overlooked quantum states that could revolutionize error correction approaches. These particles offer more stable and controllable qubits, potentially solving some of quantum computing’s most persistent coherence challenges.
Meanwhile, CERN achieved a physics breakthrough by creating the world’s first antimatter qubit, trapping antiprotons for quantum information processing. While still experimental, this development opens entirely new pathways for quantum computing that could be immune to certain types of environmental interference.
On the practical side, Terra Quantum introduced QMM-Enhanced Error Correction, validated on IBM hardware. Their approach demonstrates measurable improvements in quantum algorithm reliability, bringing error-corrected quantum computing closer to commercial viability.
Quantum Computing Quick Hits: Systems Scale Up
Several new quantum systems and partnerships were announced this month, showing the industry’s continued momentum toward practical applications:
New Systems and Deployments:
- IQM’s 54-qubit Emerald QPU launched on Amazon Braket, expanding cloud-based quantum access
- Keysight installed the world’s largest commercial quantum control system supporting over 1,000 qubits at Japan’s AIST G-QuAT Center
- Intel launched pencil-eraser-sized spin qubit chips to expand quantum computing capabilities
- University of Chicago researchers created functional protein qubits for quantum sensing in living cells
Major Partnerships and Funding:
- Microsoft and Atom Computing announced plans to build the world’s most powerful quantum computer in Denmark
- IonQ partnered with Oak Ridge National Laboratory for quantum power grid optimization
- Amazon disclosed a $36.7 million stake in IonQ, signaling major cloud provider commitment
Quantum-AI Integration Accelerates
The convergence of quantum computing and artificial intelligence reached new milestones this month, with practical applications beginning to emerge from research laboratories.
Los Alamos National Laboratory published breakthrough research on quantum machine learning pathways, demonstrating how quantum computers can enhance pattern recognition and optimization algorithms. Their work shows quantum advantage in specific machine learning tasks, particularly those involving complex optimization landscapes.
The Philippines’ Kipu Quantum also made headlines with their Quantum Feature Mapping (QFM) technology, which improves AI accuracy in sensitive domains by leveraging quantum computational advantages for feature extraction and pattern recognition.
Frequently Asked Questions
Have a question? Just e-mail us at team at quantumdoomclock dot com. Below are the top questions we have received since our last update.
Q: With Fujitsu’s 10,000-qubit announcement and chiplet breakthroughs, how much closer are we to breaking encryption?
A: They are not the only ones pushing for logical qubits well past the point necessary to break crypto. The combination of architectural improvements (chiplets), scaling commitments (10,000+ qubits by 2030), and error correction advances suggests we’re moving faster than many expected, but from what we can tell we are right on track. Fujitsu’s project isn’t just research—it’s a fully funded industrial initiative with government backing, which is exactly what we’d expect to see.
The Quantum Doom Clock is brought to you by Richard Carback and Colton Dillion, the cofounders of Quip Network
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