Tag Archives: quantum

Will artificial intelligence break your cryptocurrency wallet before quantum computers even exist?

Will artificial intelligence break your cryptocurrency wallet before quantum computers even exist?
Most people consider quantum computers the supreme danger to digital security today. We constantly hear stories about future supercomputers decoding the global internet. Cryptographers spend late nights worrying about the exact day a quantum machine boots up and breaks the elliptic curves protecting digital assets. A completely different risk creeps up on us right now. Advanced neural networks accelerate mathematical discovery at a breathtaking pace. This rapid advancement suggests smart software will likely solve the complex math protecting Bitcoin and Ethereum long before engineers build a functional decrypting machine.

To truly grasp this evolving timeline, we must examine the mechanics of the current quantum problem. Quantum computing relies heavily on Shor’s algorithm to break elliptic curve cryptography through brute-force computation. Security analysts classify this specific threat horizon as a long-term issue that remains years or decades away. Hardware engineers have demonstrated no physical machine capable of executing this theoretical attack against modern decentralized networks. The quantum narrative requires huge physical breakthroughs that stubbornly refuse to materialize on schedule. Software algorithms require no such hardware leaps to cause severe disruption.

The emerging software threat vector operates fundamentally differently. Machine learning exploits structured mathematical patterns and hidden shortcuts in curves and lattices. Instead of relying on sheer computational brawn, these programs find clever backdoors. The software identifies obscure relationships between numbers that human mathematicians miss completely. During an October 2026 discussion on the platform X, Ethereum researcher Justin Drake warned about this exact scenario. He stated that advanced software could weaken the Elliptic Curve Digital Signature Algorithm within months in a worst-case scenario. Bitcoin and Ethereum both rely heavily on this algorithm to secure user funds.

Ethereum co-founder Vitalik Buterin advanced this discussion further by highlighting a much deeper problem. Developers currently build next-generation defenses using lattice-based cryptography. They designed these frameworks specifically to resist future quantum attacks. Buterin noted that intelligent software could compress 50 years of human mathematical progress into just 2 years. This hyper-accelerated pace of research means algorithms might compromise these supposedly future-proof lattice frameworks before developers finish implementing them. Industry experts confirm this rapidly approaching reality by estimating the theoretical worst-case threat horizon for machine learning math at 2 years.

We must remember why developers chose the Elliptic Curve Digital Signature Algorithm in the first place. Satoshi Nakamoto selected the specific elliptic curve for Bitcoin back in 2009 because it offered strong security with relatively small key sizes. For over 15 years, this mathematical fortress successfully repelled every traditional hacking attempt. Mathematicians trust the discrete logarithm problem operating behind the scenes. They know conventional computers would need millions of years to guess a private key from a corresponding public key. Smart algorithms change this calculus entirely by teaching themselves novel ways to solve the discrete logarithm problem without brute-force guessing.

Despite these fascinating theoretical vulnerabilities, digital asset holders have no logical reason to panic today. Theoretical math puzzles differ vastly from practical exploits targeting live decentralized networks. Programmers have engineered no public machine learning attack that successfully cracks a properly generated Bitcoin or Ethereum private key at a practical cost. An artificial neural network identifying a mathematical shortcut in a research paper does not instantly translate into a rogue bot draining billions of $ from active cryptocurrency exchanges. Security researchers monitor these developments closely and continually test the limits of modern software against standard encryption. The defensive walls remain standing. They currently provide 100% protection against all publicly known machine learning attacks.

The most immediate danger to your digital wealth rarely comes from an advanced algorithm. Human error remains the greatest vulnerability in any security system. Reacting impulsively to theoretical software threats often leads to catastrophic financial losses. Vitalik Buterin explicitly advised users against scrambling to move funds immediately. He pointed out that users have historically lost far more money to poorly handled wallet migrations and malicious phishing tools than to actual network hacks. Malicious actors build fake migration tools that promise post-quantum security, only to steal users’ funds the moment a victim connects their wallet.

Instead of executing risky portfolio migrations, asset holders can manage their exposure through simple structural adjustments. The easiest defense is to change how you interact with the underlying blockchain. Cryptocurrency experts highly recommend keeping assets in addresses that have never sent an outbound transaction. When a user creates a new Bitcoin or Ethereum address and only receives funds, the network never exposes the underlying public key on the blockchain. This simple practice adds an incredibly strong layer of structural protection. Even a vastly intelligent learning model cannot attack a public key that remains completely invisible.

Users securing significant wealth should carefully evaluate their multi-signature wallet frameworks. Standard single-signature wallets represent a single point of failure. If an advanced program eventually breaks the underlying cryptography, a standard wallet offers 0 fallback protection. Savvy users opt for off-chain signature collection when designing multi-signature setups. If the primary algorithm fails under extreme computational pressure, a properly designed off-chain signature setup degrades safely to a single signer. This degradation prevents the entire smart contract from opening up to external exploitation. Smart contract architects prioritize this graceful failure mechanism.

The broader decentralized finance industry recognizes these looming challenges and is actively developing countermeasures. Industry roadmaps actively shift toward hash-based alternatives to secure the next generation of financial infrastructure. Developers steer both the Bitcoin and Ethereum networks toward hash-only designs. Technologists look closely at frameworks like SPHINCS and WOTS to provide the next layer of digital security. These hash-based systems lack the structured mathematical patterns that advanced algorithms find so easy to exploit. They offer a fundamentally different approach to protecting sensitive data.

My simple take is this. Understanding the fundamental difference between elliptic curves and hash functions explains why developers place so much faith in the latter. Elliptic curves rely on complex algebraic structures and predictable geometric relationships. A neural network excels at mapping these relationships and discovering hidden geometries. Hash functions operate more like chaotic blenders. You drop data into the hash function, and the underlying algorithm scrambles it into a fixed-length string of characters. No mathematical relationship exists between the input and the final output. Learning models struggle immensely with pure cryptographic chaos because chaos offers absolutely no predictable patterns to analyze. The intersection of digital assets and smart algorithms promises a thrilling narrative over the next 10 years. The cryptocurrency community must remain vigilant as these learning models grow increasingly sophisticated. We must respect the potential for new technologies to rewrite the basic rules of mathematical impossibility. Preparing for these future risks represents an essential evolutionary step for decentralized finance. The developers maintaining Bitcoin and Ethereum possess the talent and the foresight to implement robust defensive upgrades long before theoretical threats become practical exploits. We simply need to exercise patience, practice good operational security, and let the brilliant cryptographers do their crucial work.

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author. The latest book is Web4: The Age of Autonomous Intelligence.

www.anndy.com
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Does the US$1,780 support zone hold the key to a US$2,200 Ethereum rally

Does the US$1,780 support zone hold the key to a US$2,200 Ethereum rally

Ethereum developers are pursuing an aggressive technical roadmap to secure the blockchain against future computational threats while vastly improving transaction throughput. The primary objective is to achieve a processing capacity of 10,000 transactions per second. This massive scalability upgrade runs parallel to a comprehensive integration of quantum safety measures. Network architects recognise that the advancement of quantum computing poses a legitimate threat to current cryptographic standards.

Consequently, the development teams prioritise post-quantum cryptography to ensure long-term viability. This dual focus on speed and absolute security demonstrates a mature approach to the evolution of blockchain. The community understands that maintaining relevance requires continuous innovation rather than resting on past achievements.

By targeting such high transaction speeds, the protocol prepares itself for mainstream global adoption, where millions of users will demand instant settlements every single day. Engineers constantly refine the underlying code to eliminate bottlenecks and ensure seamless data transmission worldwide. This relentless pursuit of perfection guarantees that the infrastructure can handle immense future loads without compromising decentralisation.

To achieve these ambitious targets, the core teams actively explore alternative execution options that reach far beyond the traditional Ethereum Virtual Machine. This exploration represents a profound strategic shift in fundamental ecosystem design. Relying solely on legacy execution environments limits the ceiling for both security and scalability. Developers therefore investigate new virtual environments that process complex smart contracts with unprecedented efficiency. The blueprint specifically outlines the introduction of native rollups and the advancement of post-quantum scaling mechanisms by 2029.

Native rollups will integrate layer 2 scaling solutions directly into the base protocol. This integration eliminates the fragmentation that currently exists across various third-party scaling networks. Consolidating these technologies directly into the core protocol streamlines the user experience and fortifies the underlying security guarantees. These scheduled upgrades ensure the system remains robust against emerging technological paradigms over the coming decade. Architects envision a seamless future where complex applications run flawlessly without burdening the main layer with excessive computational overhead.

Despite these monumental technical strides, the digital token currently trades amid high volatility, reflecting broader financial uncertainties. Over the last 24 hours, the valuation declined by 2.6 per cent to settle at US$1.88k. Interestingly, this drop coincided with a massive surge in participation. Trading volume skyrocketed by +34.72 per cent to reach US$8.14b.

This divergence between cost and volume suggests intense activity where buyers and sellers aggressively contest the current valuation. Technical analysts note that the coin is defending a crucial range between US$1,720 and US$1,780. Holding this foundational level keeps the broader bullish recovery setup completely intact.

A decisive breakout above the US$1,875 resistance level would immediately strengthen upward momentum and open a clear path toward a US$2,200 target. Participants closely watch these specific technical levels to gauge future directional momentum and adjust their trading strategies accordingly. High volume during a slight dip often indicates strong underlying absorption by larger entities who quietly accumulate positions while retail traders panic and exit their trades.

Significant participants demonstrate immense conviction in the long-term value proposition despite short-term fluctuations. A prominent crypto whale operating under the wallet address 0x2d59 recently executed a massive accumulation. Just two hours ago, this entity purchased and immediately staked 50,000 tokens valued at approximately US$93.6 million. This substantial acquisition follows a previous purchase of 40,000 tokens worth US$76.66 million exactly one week prior. These sequential purchases total US$170 million.

The decision to lock these newly acquired assets into the consensus mechanism carries profound implications for circulating supply. Staking removes the tokens from liquid exchanges and strongly indicates that the buyer has no intention of selling in the near future. This massive reduction in available supply creates a solid foundation for future appreciation once broader financial conditions turn favourable.

Large buyers clearly look past temporary corrections and focus entirely on fundamental upgrades scheduled for the coming years. Their aggressive buying patterns provide a crucial layer of underlying support that stabilises the ecosystem during turbulent periods.

The current neutral action persists primarily due to macroeconomic factors influencing the entire digital asset ecosystem. The leading cryptocurrency recently entered a downward trend, and this broader correction is heavily impacting all altcoins. Buyers are currently seeking to restore bullish momentum, but they face strong headwinds stemming from this sentiment. Traditional financial products tracking this specific protocol currently struggle to capture the same enthusiasm evident in the broader crypto space.

Spot exchange-traded funds tracking the coin recently posted US$14.59 million in net redemptions across the entire category. This negative flow contrasts sharply with competing products that track the leading cryptocurrency and have successfully attracted consistent positive inflows over the past month. Since their initial launch in July, these specific funds have struggled to convert initial curiosity into long-term capital.

A major structural flaw severely hampers their value proposition. Holding the token through a regulated fund forces individuals to completely forgo the lucrative rewards that native holders easily earn. This missing yield becomes an increasingly severe drag on performance as on-chain reward rates steadily rise.

Individuals naturally prefer direct ownership when the alternative involves sacrificing a significant portion of their potential returns. The current regulatory environment prevents fund issuers from addressing this yield problem. The Securities and Exchange Commission firmly blocks the inclusion of staking returns within regulated investment vehicles. The only minor bright spot involves the Ethereum Mini Trust, which recently recorded an inflow of US$8.59 million. This relatively small inflow suggests that cost-conscious individuals currently test these waters rather than large institutional whales.

From my perspective, the protocol stands at a critical crossroads where technical brilliance clashes with the limitations of financial products. The developers successfully engineered a highly secure system capable of processing 10,000 transactions per second while preparing for quantum threats. True mass adoption requires both flawless underlying technology and accessible financial products that capture the full economic benefits.

Lawmakers must eventually recognise these locking mechanisms as essential functions rather than unregistered securities offerings to unlock true institutional participation. Bridging this gap between raw technological capability and accessible financial wrappers will define the next major growth phase.

 

 

Source: https://e27.co/does-the-us1780-support-zone-hold-the-key-to-a-us2200-ethereum-rally-20260812/

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author. The latest book is Web4: The Age of Autonomous Intelligence.

www.anndy.com
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Quantum shockwave hits finance as Aussie companies join the race

Quantum shockwave hits finance as Aussie companies join the race

If there’s one threat forming on the horizon of global finance, it’s not necessarily another banking crisis, it’s quantum computing.

Quantum computers aren’t just faster. They’re built on entirely different physics (superposition and entanglement), allowing them to process calculations that would take today’s supercomputers thousands of years … in mere minutes.

That power is a dream for scientists but for banks and payment networks, it’s a ticking time bomb.

That’s because the same quantum power that can simulate entire molecules in seconds can just as easily rip through the encryption walls protecting global finance.

All those locks guarding online payments, digital wallets (and now blockchain transactions) rely on public-key cryptography. Once quantum processors mature, and most experts say they will within a decade, those locks could snap open like cheap padlocks.

“Our financial systems face an existential threat from quantum computing’s ability to break widely used public-key cryptographic protocols,” said Singapore-based blockchain adviser Anndy Lian, warning that trillions in digital transactions are exposed.

Banks know it. Regulators are catching on.

And while some countries are already investing heavily in “quantum-safe” systems, much of the world still isn’t ready.

That gap has created an urgent opportunity for companies that can bridge today’s digital infrastructure with tomorrow’s quantum reality.

 

Aussie companies gearing up for quantum shift

Australia already has a few names making early moves.

Archer Materials (ASX:AXE) is one of the few public companies in the world developing a quantum chip that can operate at room temperature, which could be a game-changer for the industry.

Its flagship project, the 12CQ chip, aims to use carbon-based qubits, a very different approach from the ultra-cold superconducting systems favoured by giants like IBM and Google.

What makes Archer interesting is that it has already demonstrated the ability to detect and now fabricate individual qubits using standard semiconductor processes. If successful, it could mean quantum computing that fits on a normal circuit board.

Meanwhile, Sydney-based Diraq, though unlisted, has partnered with UNSW to advance silicon-based qubits, essentially trying to make quantum chips that speak the same language as today’s computers.

Another early mover is Codeifai (ASX:CDE), which has recently broadened its focus from product authentication into the much broader world of quantum-secure data.

 

Codeifai expands into quantum

Codeifai’s story started in product authentication, stopping counterfeit goods with scannable QR codes. But the company’s ambition has evolved fast.

In 2024, it launched ConnectQR, turning those codes into digital trust portals that verify products and track supply chains.

In 2025, Codeifai took a major leap forward by integrating GS1 Digital Link functionality into its ConnectQR platform, a technology that transforms ordinary barcodes into web-enabled smart data carriers.

It connects physical products directly to online information with a single scan, giving consumers instant access to verified product details and authenticity.

This move also saw Codeifai accepted as an Associate Alliance Partner of GS1 Australia, placing it at the forefront of the global transition from 1D to 2D barcodes and expanding opportunities for its high-margin SaaS ConnectQR business.

Now, the company is preparing for its biggest move yet… into quantum-secure payments and communications.

Earlier this month, Codeifai appointed seasoned payments executive Marcus Cann as chief strategy officer to lead the charge.

Cann’s background at Volt Bank and MOGOPLUS gives him deep roots in fintech and open-banking infrastructure, exactly the kind of experience needed to bridge finance and frontier tech.

“He [Cann] will work closely with our COO and myself as we navigate the company into an exciting new arena,” said Codeifai’s executive chairman, John Houston.

The appointment coincides with Codeifai’s potential acquisition of AntennaTransfer.io, an AI-backed, quantum-secure communications platform owned by Canada’s Credissential Inc.

Once the deal is approved at the company’s EGM on 8 December, it will be rebranded QuantumAI Secure.

 

Secure payments for the post-quantum era

Every time someone scans a QR code, approves a BNPL transaction, or signs a digital agreement, they’re relying on one unspoken assumption: that the system can’t be forged.

Quantum computing is about to test that assumption.

Codeifai’s QuantumAI Secure is designed to make sure that trust still holds. It features a payments gateway fortified with post-quantum cryptography, built so that even if someone intercepts transaction data today, it will remain unreadable decades from now.

The platform also enables file transfers that keep sensitive contracts and intellectual property sealed tight for years to come.

AntennaTransfer.io brings the communications backbone to transmit encrypted information across distributed networks, and that technology is now about to be folded into Codeifai’s ecosystem.

The expansion into encryption technology puts the company squarely in the path of one of the biggest transformations in tech history.

 

Source: https://stockhead.com.au/tech/quantum-shockwave-hits-finance-as-aussie-companies-join-the-race/

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author. The latest book is Web4: The Age of Autonomous Intelligence.

www.anndy.com
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