Quantum money meets Bitcoin: Building unforgeable digital currency

Quantum money might sound like science fiction, yet it is rapidly emerging as one of the most compelling frontiers in modern digital finance. Initially a theoretical concept, it was far ahead of the technology of its time, making practical implementation impossible. Today, thanks to breakthroughs in quantum computing and quantum communication, scientists are reviving the idea, investigating how the principles of quantum physics could finally enable unforgeable quantum digital money. 

Comparisons between blockchain and quantum money are frequent and, on the surface, appear logical, yet can these two visions of new-generation cash genuinely be measured by the same yardstick? 

Origins of quantum money 

Quantum money was first proposed by physicist Stephen Wiesner in the late 1960s. Wiesner envisioned a system in which each banknote would carry quantum particles encoded in specific states, known only to the issuing bank, making the notes inherently secure. 

Due to the peculiarities of quantum mechanics, these quantum states could not be copied, offering a level of security fundamentally impossible with classical systems. At the time, however, quantum technologies were purely theoretical, and devices capable of creating, storing, and accurately measuring delicate quantum states simply did not exist. 

For decades, Wiesner’s idea remained a fascinating thought experiment. Today, the rise of functional quantum computers, advanced photonic systems, and reliable quantum communication networks is breathing new life into the concept, allowing researchers to explore practical applications of quantum money in ways that were once unimaginable.

A new battle for the digital throne is emerging as quantum money shifts from theory to possibility, challenging whether Bitcoin’s decentralised strength can hold its ground in a future shaped by quantum technology.

The no-cloning theorem: The physics that makes quantum money impossible to forge

At the heart of quantum money lies the no-cloning theorem, a cornerstone of quantum mechanics. The principle establishes that it is physically impossible to create an exact copy of an unknown quantum state. Any attempt to measure a quantum state inevitably alters it, meaning that copying or scanning a quantum banknote destroys the very information that ensures its authenticity. 

The unique property makes quantum money exceptionally secure: unlike blockchain, which relies on cryptographic algorithms and distributed consensus, quantum money derives its protection directly from the laws of physics. In theory, a quantum banknote cannot be counterfeited, even by an attacker with unlimited computing resources, which is why quantum money is considered one of the most promising approaches to unforgeable digital currency.

 A new battle for the digital throne is emerging as quantum money shifts from theory to possibility, challenging whether Bitcoin’s decentralised strength can hold its ground in a future shaped by quantum technology.

How quantum money works in theory

Quantum money schemes are typically divided into two main types: private and public. 

In private quantum money systems, a central authority- such as a bank- creates quantum banknotes and remains the only entity capable of verifying them. Each note carries a classical serial number alongside a set of quantum states known solely to the issuer. The primary advantage of this approach is its absolute immunity to counterfeiting, as no one outside the issuing institution can replicate the banknote. However, such systems are fully centralised and rely entirely on the security and infrastructure of the issuing bank, which inherently limits scalability and accessibility.

Public quantum money, by contrast, pursues a more ambitious goal: allowing anyone to verify a quantum banknote without consulting a central authority. Developing this level of decentralisation has proven exceptionally difficult. Numerous proposed schemes have been broken by researchers who have managed to extract information without destroying the quantum states. Despite these challenges, public quantum money remains a major focus of quantum cryptography research, with scientists actively pursuing secure and scalable methods for open verification. 

Beyond theoretical appeal, quantum money faces substantial practical hurdles. Quantum states are inherently fragile and susceptible to decoherence, meaning they can lose their information when interacting with the surrounding environment. 

Maintaining stable quantum states demands highly specialised and costly equipment, including photonic processors, quantum memory modules, and sophisticated quantum error-correction systems. Any error or loss could render a quantum banknote completely worthless, and no reliable method currently exists to store these states over long periods. In essence, the concept of quantum money is groundbreaking, yet real-world implementation requires technological advances that are not yet mature enough for mass adoption. 

A new battle for the digital throne is emerging as quantum money shifts from theory to possibility, challenging whether Bitcoin’s decentralised strength can hold its ground in a future shaped by quantum technology.

Bitcoin solves the duplication problem differently

While quantum money relies on the laws of physics to prevent counterfeiting, Bitcoin tackles the duplication problem through cryptography and distributed consensus. Each transaction is verified across thousands of nodes, and SHA-256 hash functions secure the blockchain against double spending without the need for a central authority. 

Unlike elliptic curve cryptography, which could eventually be vulnerable to large-scale quantum attacks, SHA-256 has proven remarkably resilient; even quantum algorithms such as Grover’s offer only a marginal advantage, reducing the search space from 2256 to 2128– still far beyond any realistic brute-force attempt. 

Bitcoin’s security does not hinge on unbreakable mathematics alone but on a combination of decentralisation, network verification, and robust cryptographic design. Many experts therefore consider Bitcoin effectively quantum-proof, with most of the dramatic threats predicted from quantum computers likely to be impossible in practice. 

Software-based and globally accessible, Bitcoin operates independently of specialised hardware, allowing users to send, receive, and verify value anywhere in the world without the fragility and complexity inherent in quantum systems. Furthermore, the network can evolve to adopt post-quantum cryptographic algorithms, ensuring long-term resilience, making Bitcoin arguably the most battle-hardened digital financial instrument in existence. 

 A new battle for the digital throne is emerging as quantum money shifts from theory to possibility, challenging whether Bitcoin’s decentralised strength can hold its ground in a future shaped by quantum technology.

Could quantum money be a threat to Bitcoin?

In reality, quantum money and Bitcoin address entirely different challenges, meaning the former is unlikely to replace the latter. Bitcoin operates as a global, decentralised monetary network with established economic rules and governance, while quantum money represents a technological approach to issuing physically unforgeable tokens. Bitcoin is not designed to be physically unclonable; its strength lies in verifiability, decentralisation, and network-wide trust.

However, SHA-256- the hashing algorithm that underpins Bitcoin mining and block creation- remains highly resistant to quantum threats. Quantum computers achieve only a quadratic speed-up through Grover’s algorithm, which is insufficient to break SHA-256 in practical terms. Bitcoin also retains the ability to adopt post-quantum cryptographic standards as they mature, whereas quantum money is limited by rigid physical constraints that are far harder to update.

Quantum money also remains too fragile, complex, and costly for widespread use. Its realistic applications are limited to state institutions, military networks, or highly secure financial environments rather than everyday payments. Bitcoin, by contrast, already benefits from extensive global infrastructure, strong market adoption, and deep liquidity, making it far more practical for daily transactions and long-term digital value transfer. 

A new battle for the digital throne is emerging as quantum money shifts from theory to possibility, challenging whether Bitcoin’s decentralised strength can hold its ground in a future shaped by quantum technology.

Where quantum money and blockchain could coexist

Although fundamentally different, quantum money and blockchain technologies have the potential to complement one another in meaningful ways. Quantum key distribution could strengthen the security of blockchain networks by protecting communication channels from advanced attacks, while quantum-generated randomness may enhance cryptographic protocols used in decentralised systems. 

Researchers have also explored the idea of using ‘quantum tokens’ to provide an additional privacy layer within specialised blockchain applications. Both technologies ultimately aim to deliver secure and verifiable forms of digital value. Their coexistence may offer the most resilient future framework for digital finance, combining the physics-based protection of quantum money with the decentralisation, transparency, and global reach of blockchain technology. 

A new battle for the digital throne is emerging as quantum money shifts from theory to possibility, challenging whether Bitcoin’s decentralised strength can hold its ground in a future shaped by quantum technology.

Quantum physics meets blockchain for the future of secure currency

Quantum money remains a remarkable concept, originally decades ahead of its time, and now revived by advances in quantum computing and quantum communication. Although it promises theoretically unforgeable digital currency, its fragility, technical complexity, and demanding infrastructure make it impractical for large-scale use. 

Bitcoin, by contrast, stands as the most resilient and widely adopted model of decentralised digital money, supported by a mature global network and robust cryptographic foundations. 

Quantum money and Bitcoin stand as twin engines of a new digital finance era, where quantum physics is reshaping value creation, powering blockchain innovation, and driving next-generation fintech solutions for secure and resilient digital currency. 

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UK moves to give crypto full legal property status

The United Kingdom has introduced a landmark legal change by formally recognising cryptocurrencies and stablecoins as personal property. The Property Act, which secured royal assent this week, establishes a clear statutory framework for digital ownership after years of fragmented court rulings.

Industry bodies hailed the development as a decisive boost for legal certainty. Groups such as Bitcoin Policy UK and CryptoUK stated that the new rules enhance protection, facilitate token recovery, and clarify uncertainty over ownership and inheritance.

Lawmakers followed guidance from the Law Commission, which urged the creation of a dedicated category for digital assets that did not fit traditional definitions of personal property.

Regulators view the shift as part of a broader effort to reinforce Britain’s ambitions as a digital finance hub.

Ministers are reviewing a possible ban on cryptocurrency donations to political parties. They are also assessing reforms to the taxation of decentralised finance, which could prevent users from triggering capital gains when using lending protocols or liquidity pools.

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Bank of America advises clients to invest in crypto

Bank of America is expanding cryptocurrency access for its wealth management clients, recommending a 1–4% allocation of digital assets across portfolios. The move brings crypto exposure to a broader range of clients, beyond the bank’s previously ultra-wealthy clientele.

Starting January 5, the bank will cover four of the largest Bitcoin ETFs, including Bitwise Bitcoin ETF, Fidelity’s Wise Origin Bitcoin Fund, Grayscale’s Bitcoin Trust, and BlackRock’s iShares Bitcoin Trust, which collectively manage over $94 billion in assets.

The recommendation aligns with a broader trend among traditional financial institutions encouraging crypto adoption.

Firms such as Morgan Stanley, BlackRock, and Fidelity have issued similar guidance in the past year. Vanguard recently opened its brokerage platform to ETFs and mutual funds that primarily hold cryptocurrencies.

Chris Hyzy, Chief Investment Officer at Bank of America Private Bank, said that a modest allocation of 1–4% in digital assets may suit investors who are comfortable with high volatility and interested in thematic innovation.

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V3.2 models signal renewed DeepSeek momentum

DeepSeek has launched two new reasoning-focused models, V3.2 and V3.2-Speciale. The release marks a shift toward agent-style systems that emphasise efficiency. Both models are positioned as upgrades to the firm’s earlier experimental work.

The V3.2 model incorporates structured thinking into its tool-use behaviour. It supports fast and reflective modes while generating large training datasets. DeepSeek says this approach enables more exhaustive testing across thousands of tasks.

V3.2-Speciale is designed for high-intensity reasoning workloads and contests. DeepSeek reports performance levels comparable to top proprietary systems. Its Sparse Attention method keeps costs down for long and complex inputs.

The launch follows pressure from rapid advances by key rivals. DeepSeek argues the new line narrows capability gaps despite lower budgets. Earlier momentum came from strong pricing, but expectations have increased.

The company views the V3.2 series as supporting agent pipelines and research applications. It frames the update as proof that efficient models can still compete globally. Developers are expected to use the systems for analytical and technical tasks.

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Singapore and the EU advance their digital partnership

The European Union met Singapore in Brussels for the second Digital Partnership Council, reinforcing a joint ambition to strengthen cooperation across a broad set of digital priorities.

Both sides expressed a shared interest in improving competitiveness, expanding innovation and shaping common approaches to digital rules instead of relying on fragmented national frameworks.

Discussions covered AI, cybersecurity, online safety, data flows, digital identities, semiconductors and quantum technologies.

Officials highlighted the importance of administrative arrangements in AI safety. They explored potential future cooperation on language models, including the EU’s work on the Alliance for Language Technologies and Singapore’s Sea-Lion initiative.

Efforts to protect consumers and support minors online were highlighted, alongside the potential role of age verification tools.

Further exchanges focused on trust services and the interoperability of digital identity systems, as well as collaborative research on semiconductors and quantum technologies.

Both sides emphasised the importance of robust cyber resilience and ongoing evaluation of cybersecurity risks, rather than relying on reactive measures. The recently signed Digital Trade Agreement was welcomed for improving legal certainty, building consumer trust and reducing barriers to digital commerce.

The meeting between the EU and Singapore confirmed the importance of the partnership in supporting economic security, strengthening research capacity and increasing resilience in critical technologies.

It also reflected the wider priorities outlined in the European Commission’s International Digital Strategy, which placed particular emphasis on cooperation with Asian partners across emerging technologies and digital governance.

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Australia launches national AI plan to drive innovation

The Australian Government has unveiled its National AI Plan, aiming to harness AI to build a fairer, stronger nation. The plan helps government, industry, research and communities collaborate to ensure everyone benefits as technology transforms the economy and society.

AI is reshaping work, learning and service delivery across Australia, boosting productivity, competitiveness and resilience. The plan outlines a path for developing trusted AI solutions while promoting investment, innovation and national capability.

Key initiatives focus on spreading benefits widely, supporting small businesses, regional communities and groups at risk of digital exclusion.

Programs such as the AI Adopt Program and the National AI Centre provide guidance and resources. At the same time, digital skills initiatives aim to increase AI literacy across schools, TAFEs and community organisations.

Safety and trust remain central, with the government establishing the AI Safety Institute to monitor risks and ensure the ethical adoption of AI. Legal, regulatory and ethical frameworks will be reviewed to protect Australians and establish the country as a leader in global AI standards.

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Philips launches AI-powered spectral CT system

Philips has unveiled Verida, the world’s first detector-based spectral CT fully powered by AI. The system integrates AI across the imaging chain, enhancing image quality, lowering system noise, and streamlining clinical workflow for faster, more precise diagnostics.

Spectral CT allows tissues to be distinguished based on how they absorb different x-ray energies, providing insights that conventional scans cannot. Verida reconstructs 145 images per second, completing exams in under 30 seconds, allowing up to 270 scans daily with lower doses and up to 45% less energy use.

Clinicians are already seeing benefits, especially in cardiac imaging. Prof. Eliseo Vañó Galván, Chairman of CT & MR at Hospital Nuestra. Sra. Del Rosario in Madrid, said the system could boost confidence, reduce invasive procedures, and expand spectral imaging.

Built for high-demand environments, Verida combines AI-driven reconstruction with Philips’ Nano-panel dual-layer detector and proprietary Spectral Precise Image technology. The system is CE-marked and 510k pending, with availability in select markets expected in 2026.

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Accenture and OpenAI expand AI adoption worldwide

Accenture partners with OpenAI to embed ChatGPT Enterprise, upskilling tens of thousands of professionals with AI skills through OpenAI Certifications. The initiative represents the most extensive professional upskilling programme powered by OpenAI.

A new flagship AI client programme will combine OpenAI’s enterprise products with Accenture’s deep industry expertise. The programme will help clients adopt AI in key functions like customer service, finance, HR and supply chain, automating workflows and improving decision-making.

The collaboration will leverage OpenAI’s AgentKit and other advanced tools to design, test and deploy custom AI agents rapidly. By integrating agentic AI, Accenture aims to accelerate enterprise reinvention and create measurable economic value for its clients.

Accenture and OpenAI have already worked with many of the world’s largest enterprises, including Walmart, Salesforce, PayPal and Morgan Stanley. The partnership enhances both firms’ global AI adoption and helps organisations unlock new growth opportunities.

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Europol backs major takedown of Cryptomixer in Switzerland

Europol has supported a coordinated action week in Zurich, where Swiss and German authorities dismantled the illegal cryptocurrency mixing service Cryptomixer.

Three servers were seized in Switzerland, together with the cryptomixer.io domain, leading to the confiscation of more than €25 million in Bitcoin and over 12 terabytes of operational data.

Cryptomixer operated on both the clear web and the dark web, enabling cybercriminals to conceal the origins of illicit funds. The platform has mixed over €1.3 billion in Bitcoin since 2016, aiding ransomware groups, dark web markets, and criminals involved in drug trafficking, weapons trafficking, and credit card fraud.

Its randomised pooling system effectively blocked the traceability of funds across the blockchain.

Mixing services, such as Cryptomixer, are used to anonymise illegal funds before moving them to exchanges or converting them into other cryptocurrencies or fiat. The takedown halts further laundering and disrupts a key tool used by organised cybercrime networks.

Europol facilitated information exchange through the Joint Cybercrime Action Taskforce and coordinated operational meetings throughout the investigation. The agency deployed cybercrime specialists on the final day to provide on-site support and forensics.

Earlier efforts included support for the 2023 takedown of Chipmixer, then the largest mixer of its kind.

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Fake AI product photos spark concerns for online retailers

Chinese shoppers are increasingly using AI to create fake product photos to claim refunds, raising moral and legal concerns. The practice was highlighted during the Double 11 festival, with sellers receiving images of allegedly damaged goods.

Some buyers manipulated photos of fruit to appear mouldy or altered images of electric toothbrushes to look rusty. Clothing and ceramic product sellers also detected AI-generated inconsistencies, such as unnatural lighting, distorted edges, or visible signs of manipulation.

In some cases, requests were withdrawn after sellers asked for video evidence.

E-commerce platforms have historically favoured buyers, granting refunds even when claims seem unreasonable. In response, major platforms such as Taobao and Tmall removed the ‘refund only’ option and introduced buyer credit ratings based on purchase and refund histories.

Sellers are also increasingly turning to AI tools to verify images.

China’s AI content rules, effective from 1 September, require AI-generated material to be labelled, but detection remains difficult. Legal experts warn that using AI to claim refunds could constitute fraud, with calls for stricter enforcement to prevent abuse.

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