[{"data":1,"prerenderedAt":841},["ShallowReactive",2],{"prismic-blog_post-nimiq-road-to-quantum-resistance-1":3,"$socialMedias":243,"$prismic_navigation":318},{"id":4,"uid":5,"url":6,"type":7,"href":8,"tags":9,"first_publication_date":10,"last_publication_date":11,"slugs":12,"linked_documents":14,"lang":15,"alternate_languages":16,"data":17},"aiZ1BxIAACkAifjX","nimiq-road-to-quantum-resistance-1","/blog/nimiq-road-to-quantum-resistance-1","blog_page","https://nimiq.cdn.prismic.io/api/v2/documents/search?ref=ajAb9REAACoAfZqh&q=%5B%5B%3Ad+%3D+at%28document.id%2C+%22aiZ1BxIAACkAifjX%22%29+%5D%5D",[],"2026-06-08T15:45:49+0000","2026-06-08T18:04:28+0000",[13],"nimiqs-road-to-quantum-resistance-from-quantum-curiosity-to-cryptographic-threat",[],"en-us",[],{"draft":18,"title":19,"subline":25,"publish_date":30,"authors":31,"image":34,"text":45,"body":46,"meta_title":38,"meta_description":38,"meta_keywords":38,"meta_image":242},false,[20],{"type":21,"text":22,"spans":23,"direction":24},"heading1","Nimiq’s Road to Quantum Resistance: From Quantum Curiosity to Cryptographic Threat",[],"ltr",[26],{"type":27,"text":28,"spans":29,"direction":24},"paragraph","An introduction to the history of quantum computing and why it may become a threat to today’s cryptographic systems.",[],"2026-06-08",[32],{"name":33},"Team Nimiq",{"dimensions":35,"alt":38,"copyright":38,"url":39,"id":40,"edit":41},{"width":36,"height":37},1800,1013,null,"/assets/images/prismic/aicD7QeQX7-eW-9m_QuantumComputingPart1-1-.png","aicD7QeQX7-eW-9m",{"x":42,"y":42,"zoom":43,"background":44},0,1,"transparent",[],[47],{"variation":48,"version":49,"items":50,"primary":51,"id":240,"slice_type":241,"slice_label":38},"default","sktwi1xtmkfgx8626",[],{"backgroundColor":52,"richText":53,"centerHeading":18,"bgColor":239},"white",[54,57,60,64,66,69,72,75,78,81,84,87,90,93,96,99,102,110,113,116,119,122,125,128,131,134,137,140,143,146,149,152,155,158,161,164,167,170,173,176,179,182,185,188,191,194,197,200,203,206,209,212,215,218,221,224,227,230,233,236],{"type":27,"text":55,"spans":56,"direction":24},"As quantum resistance becomes a louder topic, we want to share the current state of our research. This is the first post introducing you to the world of quantum computing and Nimiq's path to post-quantum security. Keep an eye out for future blog posts.",[],{"type":27,"text":58,"spans":59,"direction":24},"",[],{"type":61,"text":62,"spans":63,"direction":24},"heading2","The machine Feynman couldn't quite build, and why that matters for your wallet",[],{"type":27,"text":58,"spans":65,"direction":24},[],{"type":27,"text":67,"spans":68,"direction":24},"In 1981, Richard Feynman stood before an audience of physicists and computer scientists at MIT and made a statement that sounded almost mischievous.",[],{"type":27,"text":70,"spans":71,"direction":24},"Classical computers, he explained, are fundamentally bad at simulating nature. Not bad in the sense of needing more memory or faster processors — bad in a deeper, more structural way.",[],{"type":27,"text":73,"spans":74,"direction":24},"Describing even a modest quantum system of R particles requires a wave function with 3R coordinates for all of them simultaneously, a mathematical object whose complexity escalates exponentially with each particle you add. The difficulty explodes with scale, as each particle added increases the computational cost exponentially, and no classical machine can keep up, even in principle, no matter how large you make it.",[],{"type":27,"text":76,"spans":77,"direction":24},"Feynman's solution, proposed with his characteristic directness: build a computer that is itself quantum mechanical. Let it be made of the same strange stuff as the thing you're trying to simulate.",[],{"type":27,"text":79,"spans":80,"direction":24},"\"Nature isn't classical, dammit,\" he said, \"and if you want to make a simulation of nature, you'd better make it quantum mechanical.\"",[],{"type":27,"text":82,"spans":83,"direction":24},"What Feynman sketched that day, he called it a \"quantum computer\", was less than a blueprint and more of a provocation.",[],{"type":27,"text":85,"spans":86,"direction":24},"He wasn't describing hardware you could order. He was identifying a gap: that classical logic is the wrong language for quantum physics, and that there might be a different kind of machine, one that computes the way nature computes, one that could close that gap.",[],{"type":27,"text":88,"spans":89,"direction":24},"It took more than a decade for the idea to sharpen into something with shape.",[],{"type":61,"text":91,"spans":92,"direction":24},"From curiosity to concern: what quantum computers actually do differently",[],{"type":27,"text":94,"spans":95,"direction":24},"To understand why any of this matters for cryptography, it helps to be clear about what quantum computers are and, equally, what they are not.",[],{"type":27,"text":97,"spans":98,"direction":24},"A classical computer works with bits: each one is either 0 or 1 at any given moment.",[],{"type":27,"text":100,"spans":101,"direction":24},"A quantum computer works with qubits: two-level systems denoted |0> and |1>, which exploit two uniquely quantum phenomena.",[],{"type":103,"url":104,"alt":38,"copyright":38,"dimensions":105,"id":108,"edit":109},"image","/assets/images/prismic/aicA8weQX7-eW-8z_QuantumComputingPart1inimage.png",{"width":106,"height":107},518,655,"aicA8weQX7-eW-8z",{"x":42,"y":42,"zoom":43,"background":44},{"type":27,"text":111,"spans":112,"direction":24},"The first is superposition: a qubit can exist in a combination of |0> and |1> simultaneously, not because we don't know which it is, but because, in the precise sense of quantum mechanics, it genuinely is both until it is measured.",[],{"type":27,"text":114,"spans":115,"direction":24},"The second is entanglement: qubits can be correlated in ways that have no classical analog, so that the state of one qubit is instantly linked to the state of another, regardless of physical distance.",[],{"type":27,"text":117,"spans":118,"direction":24},"When you combine n qubits, the system can represent 2^n states simultaneously. Ten qubits span a space of 1024 states; 300 qubits span more states than there are atoms in the observable universe.",[],{"type":27,"text":120,"spans":121,"direction":24},"However, when we ask the system, “What is your state?” it answers with a single response. Each possible outcome has an associated probability, and the overall result only makes sense after repeated measurement.",[],{"type":27,"text":123,"spans":124,"direction":24},"This is not “trying all possibilities at once” in the naïve sense (a common misconception). When you measure a quantum computer, you get a single classical answer, not all of them.",[],{"type":27,"text":126,"spans":127,"direction":24},"The art of quantum algorithm design is in choreographing the qubits' evolution so that the wrong answers cancel out through interference and the right answer is amplified.",[],{"type":27,"text":129,"spans":130,"direction":24},"Think of it like jumping on a trampoline: you jump higher by timing your motion in sync with the trampoline's rebound. A quantum algorithm arranges for the amplitudes associated with incorrect solutions to destructively interfere and cancel out, leaving only the correct solution with high probability when the measurement is made.",[],{"type":27,"text":132,"spans":133,"direction":24},"This is extraordinarily difficult to engineer, which is why we have very few quantum algorithms that actually beat classical ones, but the ones we have are remarkable.",[],{"type":61,"text":135,"spans":136,"direction":24},"The two algorithms that matter for security",[],{"type":27,"text":138,"spans":139,"direction":24},"Two quantum algorithms are responsible for almost all the concerns in cryptography and cybersecurity.",[],{"type":27,"text":141,"spans":142,"direction":24},"The first is Shor's algorithm, published by Peter Shor in 1997.",[],{"type":27,"text":144,"spans":145,"direction":24},"It solves the problem of factoring large integers and computing discrete logarithms in polynomial time, meaning the time required grows gently with the size of the input, rather than explosively.",[],{"type":27,"text":147,"spans":148,"direction":24},"This is not a modest speedup. The best classical algorithms for these problems are exponential in the input size, which is precisely why these problems have served as the foundation of public-key cryptography for decades.",[],{"type":27,"text":150,"spans":151,"direction":24},"RSA encryption rests on the presumed difficulty of factoring the product of two large primes. Elliptic-curve cryptography (the kind used in Bitcoin) rests on the difficulty of the discrete logarithm problem on elliptic curves.",[],{"type":27,"text":153,"spans":154,"direction":24},"Shor's algorithm, run on a sufficiently large and reliable quantum computer, would reduce both problems to routine computation. The “trapdoor” that keeps your private key private would effectively disappear.",[],{"type":27,"text":156,"spans":157,"direction":24},"The second is Grover's algorithm, which provides a quadratic speedup for searching an unstructured database.",[],{"type":27,"text":159,"spans":160,"direction":24},"Where a classical computer searching through N possibilities requires O(N) steps, Grover's needs only O(sqrt(N)).",[],{"type":27,"text":162,"spans":163,"direction":24},"Applied to symmetric cryptography and hash functions, this means a 256-bit key offers only 128-bit effective security against a quantum attacker.",[],{"type":27,"text":165,"spans":166,"direction":24},"This is a real effect, but it is much less catastrophic than Shor's: doubling key or output sizes largely neutralizes Grover's advantage.",[],{"type":27,"text":168,"spans":169,"direction":24},"Hash functions like Blake2 are considered quantum-resistant for this reason, provided the output sizes are generous enough.",[],{"type":61,"text":171,"spans":172,"direction":24},"Why quantum computers don't break everything tomorrow",[],{"type":27,"text":174,"spans":175,"direction":24},"Here is the part that the headlines consistently get wrong: none of this is possible on any quantum computer available today, and building one capable of running Shor's algorithm on real cryptographic keys remains an immense engineering challenge.",[],{"type":27,"text":177,"spans":178,"direction":24},"The fundamental problem is decoherence.",[],{"type":27,"text":180,"spans":181,"direction":24},"Quantum states are extraordinarily fragile. A qubit maintains its superposition only as long as it is perfectly isolated from its environment — any stray electromagnetic field, thermal vibration, or unwanted interaction with neighboring atoms causes the quantum information to \"leak\" into the environment and collapse.",[],{"type":27,"text":183,"spans":184,"direction":24},"That's why most modern physical realizations of quantum computers rely heavily on cryogenics or magneto-optical traps to isolate qubits.",[],{"type":27,"text":186,"spans":187,"direction":24},"The coherence times of current qubits, the window during which they hold their quantum state without decoherence, are measured in microseconds to milliseconds.",[],{"type":27,"text":189,"spans":190,"direction":24},"Running Shor's algorithm on a 256-bit elliptic-curve key requires millions of precisely orchestrated gate operations.",[],{"type":27,"text":192,"spans":193,"direction":24},"The leading solution to decoherence is quantum error correction (QEC): encoding one logical qubit (the one that does the computation) across many physical qubits, so that errors can be detected and corrected without destroying the information.",[],{"type":27,"text":195,"spans":196,"direction":24},"This is conceptually analogous to classical error correction, but far more demanding in practice.",[],{"type":27,"text":198,"spans":199,"direction":24},"A rough, conservative estimate is that a ratio of around 10,000 physical qubits may be needed to support a single reliable logical qubit under realistic environmental noise conditions. However, this number varies significantly with the hardware platform and the error-correcting code used.",[],{"type":27,"text":201,"spans":202,"direction":24},"The state of the art today involves quantum processors with hundreds to a few thousand physical qubits, not yet near the scale needed for cryptographically relevant attacks, and most of those qubits are not yet operating below the error thresholds required for full fault tolerance.",[],{"type":27,"text":204,"spans":205,"direction":24},"The picture has sharpened recently.",[],{"type":27,"text":207,"spans":208,"direction":24},"A 2026 paper from researchers at Oratomic and Caltech showed that, with the most efficient known error-correcting codes and neutral-atom architectures, Shor's algorithm for elliptic-curve discrete logarithms could, in principle, run at cryptographic scales with as few as 10,000 to 26,000 physical qubits—a dramatic improvement over earlier estimates in the millions.",[],{"type":27,"text":210,"spans":211,"direction":24},"But “in principle, given certain hardware assumptions” and “exists as a working machine” remain separated by substantial engineering: today's most advanced neutral-atom devices trap arrays of a few thousand highly coherent qubits and have demonstrated fault-tolerant operations only for short circuits.",[],{"type":27,"text":213,"spans":214,"direction":24},"The gap is narrowing, but it is not closed.",[],{"type":27,"text":216,"spans":217,"direction":24},"The deeper challenge is logical gate fidelity at scale.",[],{"type":27,"text":219,"spans":220,"direction":24},"Every quantum gate, the elementary operation on qubits, analogous to a transistor switching in a classical chip, introduces a small probability of error.",[],{"type":27,"text":222,"spans":223,"direction":24},"Error correction can suppress these errors, but only if the underlying physical error rate is already below a threshold value.",[],{"type":27,"text":225,"spans":226,"direction":24},"Getting physical gate error rates reliably below that threshold across a large, connected array of qubits, and maintaining it as the system scales, is one of the central unsolved problems of the field.",[],{"type":27,"text":228,"spans":229,"direction":24},"Progress is discrete and nonlinear: architectures tend to hit scaling barriers that require fundamental breakthroughs to overcome, not just incremental engineering improvements.",[],{"type":27,"text":231,"spans":232,"direction":24},"In short, the theoretical machinery for breaking modern cryptography with quantum computers exists and is well understood.",[],{"type":27,"text":234,"spans":235,"direction":24},"The physical machinery does not yet exist, and building it will require sustained progress across multiple hard problems simultaneously — qubit coherence, gate fidelity, connectivity, error-correction overhead, and classical control electronics — over a period that most physicists in the field would estimate at a minimum of several years. More likely a decade or more before a cryptographically relevant quantum computer becomes a realistic threat.",[],{"type":27,"text":237,"spans":238,"direction":24},"Enough technicalities for today. 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