New breakthrough outstrips all other silicon QPUs and demonstrates increasing qubit quality with increasing qubit count: clearing the path to fault tolerant, commercialNew breakthrough outstrips all other silicon QPUs and demonstrates increasing qubit quality with increasing qubit count: clearing the path to fault tolerant, commercial

Silicon Quantum Computing Establishes Leadership in the Silicon Modality of Quantum Computing with Record-Setting Processor

2025/12/18 01:15
3 min read
For feedback or concerns regarding this content, please contact us at crypto.news@mexc.com

New breakthrough outstrips all other silicon QPUs and demonstrates increasing qubit quality with increasing qubit count: clearing the path to fault tolerant, commercial scale systems 

SYDNEY, Dec. 17, 2025 /PRNewswire/ — Silicon Quantum Computing (“SQC”), a leader in quantum computing and quantum machine learning, has achieved a breakthrough that positions the company at the forefront of the silicon modality, widely viewed as the most scalable approach to quantum computing. Nature, the world’s leading multidisciplinary science journal, today published this landmark achievement: a multi-qubit, multi-register quantum processor with exceptional quality and performance that improves as the system scales. 

With fidelities up to 99.99%, SCQ’s latest result sets a new milestone for the quantum computing field. Typically, when quantum systems add more qubits and become more complex, their quality declines. SQC’s architecture demonstrates the opposite: as qubit count increases, the qubit quality strengthens – a critical requirement for fault tolerant, commercial scale systems. 

Building a quantum computer in silicon is a natural choice for the field. The world has already refined classical computing in silicon, and it is one of the world’s best understood elements. This material choice leverages trillions of dollars in R&D, semiconductor fabrication and wafer purification. 

SQC is the only private quantum computing company that manufactures its own quantum chips (QPUs). The company’s industry-leading manufacturing process, developed over 25 years, patterns chips with 0.13 nanometer (atom level) precision, placing phosphorus atoms within pure silicon wafers. It is the most accurate semiconductor manufacturing process in the world – a demonstration of SQC’s commitment to materials purity and precision engineering, no less than what is required to deliver commercial scale quantum computing. 

SQC has consistently delivered world-leading accuracy on benchmark quantum algorithms such as Grover’s. Now, with these results achieved across multiple registers, the path for scaling toward millions of qubits is clear. 

SQCs Founder and CEO, Michelle Simmons, said: In most quantum systems, scale comes at the cost of performance. Our system increases in quality as it scales, an immense achievement that were proud to share with the world. Ita reflection of our careful choices in materials, architecture and modality, which puts us on track to deliver the worlds first commercial scale quantum computer. 

SQC Chair and former ARM CEO Simon Segars, added: Todays announcement illustrates the elegance and powerful simplicity of SQCs approach. Alongside our customers and partners, were delivering value and commercial advantage in quantum computing today. Iproud to support a team that is both leading the field scientifically while delivering real-world solutions. 

This achievement follows a series of advancements in SQC’s commercial momentum. The company recently progressed to Stage B of DARPA’s Quantum Benchmarking Initiative and its quantum technologies are already delivering impact: Telstra reported dramatic reductions in model training time using SQC’s quantum machine learning systems. Additionally, Australian Defence purchased a rack-mounted system for deployment within its datacenter environment. 

For more information, visit www.sqc.com.au 

About Silicon Quantum Computing 

Silicon Quantum Computing (“SQC”) is at the forefront of global efforts to build a commercial-scale quantum system. Leveraging over 25 years of technological excellence and delivery, SQC’s proprietary machines and processes allow the company to see and control matter atom-by-atom. SQC’s atomically engineered quantum machine learning chips and universal quantum computing systems have demonstrated world-leading algorithmic fidelity, positioning the company at the forefront of quantum innovation. Controlling its own QPU manufacturing means that SQC can design, produce and test new systems every week while delivering quantum machine learning and simulation systems to customers today. The company was founded in 2017 and is headquartered in Sydney, Australia. 

Cision View original content:https://www.prnewswire.com/news-releases/silicon-quantum-computing-establishes-leadership-in-the-silicon-modality-of-quantum-computing-with-record-setting-processor-302644947.html

SOURCE Silicon Quantum Computing

Market Opportunity
QUANTUM Logo
QUANTUM Price(QUANTUM)
$0.002699
$0.002699$0.002699
-0.03%
USD
QUANTUM (QUANTUM) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact crypto.news@mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

Aave DAO to Shut Down 50% of L2s While Doubling Down on GHO

Aave DAO to Shut Down 50% of L2s While Doubling Down on GHO

The post Aave DAO to Shut Down 50% of L2s While Doubling Down on GHO appeared on BitcoinEthereumNews.com. Aave DAO is gearing up for a significant overhaul by shutting down over 50% of underperforming L2 instances. It is also restructuring its governance framework and deploying over $100 million to boost GHO. This could be a pivotal moment that propels Aave back to the forefront of on-chain lending or sparks unprecedented controversy within the DeFi community. Sponsored Sponsored ACI Proposes Shutting Down 50% of L2s The “State of the Union” report by the Aave Chan Initiative (ACI) paints a candid picture. After a turbulent period in the DeFi market and internal challenges, Aave (AAVE) now leads in key metrics: TVL, revenue, market share, and borrowing volume. Aave’s annual revenue of $130 million surpasses the combined cash reserves of its competitors. Tokenomics improvements and the AAVE token buyback program have also contributed to the ecosystem’s growth. Aave global metrics. Source: Aave However, the ACI’s report also highlights several pain points. First, regarding the Layer-2 (L2) strategy. While Aave’s L2 strategy was once a key driver of success, it is no longer fit for purpose. Over half of Aave’s instances on L2s and alt-L1s are not economically viable. Based on year-to-date data, over 86.6% of Aave’s revenue comes from the mainnet, indicating that everything else is a side quest. On this basis, ACI proposes closing underperforming networks. The DAO should invest in key networks with significant differentiators. Second, ACI is pushing for a complete overhaul of the “friendly fork” framework, as most have been unimpressive regarding TVL and revenue. In some cases, attackers have exploited them to Aave’s detriment, as seen with Spark. Sponsored Sponsored “The friendly fork model had a good intention but bad execution where the DAO was too friendly towards these forks, allowing the DAO only little upside,” the report states. Third, the instance model, once a smart…
Share
BitcoinEthereumNews2025/09/18 02:28
DeAgentAI releases new white paper, detailing $AIA token economics and staking model

DeAgentAI releases new white paper, detailing $AIA token economics and staking model

PANews reported on September 18 that the Sui ecological AI project DeAgentAI announced that it has updated its official white paper to version V2. The new white paper primarily adds "token economics" and "staking mechanisms." The token economics section details $AIA's core functions, value capture model, token distribution ratio, and detailed release rules. The staking mechanism section explains $AIA's value and how to stake it. In addition, the white paper also published security audit reports issued by multiple institutions on core components such as token contracts and cross-chain bridges.
Share
PANews2025/09/18 12:05
New Crypto Investors Are Backing Layer Brett Over Dogecoin After Topping The Meme Coin Charts This Month

New Crypto Investors Are Backing Layer Brett Over Dogecoin After Topping The Meme Coin Charts This Month

Climbing to the top of the meme coin charts takes more than a viral mascot or celebrity tweets. Hype may spark attention, but only momentum, utility, and adaptability keep it alive. That’s why the latest debate among crypto enthusiasts is catching attention. While Dogecoin remains a household name, a new player has entered the arena […] The post New Crypto Investors Are Backing Layer Brett Over Dogecoin After Topping The Meme Coin Charts This Month appeared first on Live Bitcoin News.
Share
LiveBitcoinNews2025/09/18 00:30