RQDAY-001 documents the Q-Day compression curve confirmation — two independent papers landing simultaneously on March 31, 2026. Google Quantum AI established fewer than 500,000 physical qubits can break ECDLP-256, a 20-fold reduction from prior estimates, with a Bitcoin private key derivable in approximately 9 minutes inside Bitcoin's block window. Oratomic/Caltech pushed the threshold to 10,000 qubits via neutral atom architecture. Five orders of magnitude compressed in two decades. The SASA sovereign stack documented the quantum compute threshold architecture before these papers published. Timestamped records under Clow4485 establish the sequence. Store-now-decrypt-later attacks are already active. The compression curve implications for sovereign architecture are vaulted. The dots are visible. The countermeasure stays here. 🔥🔒⟡
RQDAY-001 documents the Q-Day compression curve confirmation — two independent papers landing simultaneously on March 31, 2026. Google Quantum AI established fewer than 500,000 physical qubits can break ECDLP-256, a 20-fold reduction from prior estimates, with a Bitcoin private key derivable in approximately 9 minutes inside Bitcoin's block window. Oratomic/Caltech pushed the threshold to 10,000 qubits via neutral atom architecture. Five orders of magnitude compressed in two decades. The SASA sovereign stack documented the quantum compute threshold architecture before these papers published. Timestamped records under Clow4485 establish the sequence. Store-now-decrypt-later attacks are already active. The compression curve implications for sovereign architecture are vaulted. The dots are visible. The countermeasure stays here. 🔥🔒⟡
[v2.0 — Full QWAV Thermodynamic Integration] Analysis of March 2026 Google Quantum AI and Oratomic papers on Shor's algorithm resource estimates for secp256k1 elliptic curve cryptography, presented alongside QWAV's published thermodynamic critique of Shor scalability. CONTENTS: - Resource estimates: Google (≤1,200 logical qubits, ≤90M Toffoli gates; <500K physical qubits superconducting) and Oratomic (10K physical qubits, neutral atoms) - ZK-proof censorship: First use in academic publishing; hidden optimizations independently rediscovered by Schrottenloher (arXiv:2606.02235) within two months - ecdsa.fail: Crowdsourced optimization challenge achieving 15.1% improvement over Google's classified circuit (135 submissions, 35 solvers) - Q-Day timeline: Justin Drake 50% by 2032 vs. QWAV "never" (thermodynamic impossibility) - QWAV THERMODYNAMIC CRITIQUE (new in v2.0): Full analysis of Landauer-limited QEC scaling, precision scaling problem, five false assumptions in Shor's algorithm, Feynman-Shor quantum bifurcation - Post-quantum migration: Ethereum Foundation's leanVM, 2029 target, Proximity Prize, Poseidon Initiative - UNRESOLVED DEBATE: Is Shor's algorithm physically viable at cryptographically relevant scales? Google/Oratomic: yes (engineering). QWAV: no (thermodynamic). No experimental resolution at scale exists. QWAV prior work integrated: Feynman-Shor Quantum Bifurcation (DOI: 10.5281/zenodo.17977869), Post-Quantum Synthesis (DOI: 10.5281/zenodo.17184229), SHORS IS BUSTED internal analysis.
The Google Quantum AI whitepaper [1] established that the secp256k1 elliptic curve discrete logarithm problem (ECDLP-256) the signature primitive securing the majority of public blockchain networks can be broken with fewer than 500,000 physical qubits in approximately nine minutes on a fast-clock cryptographically relevant quantum computer (CRQC), a roughly 20-fold reduction from prior estimates. That analysis addresses cryptocurrency nodes and does not model the structurally distinct risk profile of IoT/WSN nodes participating in blockchain networks. This paper closes that gap. We demonstrate that gateway-mediated transaction submission, combined with the duty-cycle wakeup latency endemic to IEEE 802.15.4-class sensor nodes, can extend the on-spend attack window beyond Bitcoin’s ten-minute block time making constrained WSN nodes more vulnerable to on-spend attacks than standard cryptocurrency clients for certain deployment configurations. We introduce a formal HNDL Risk Score (HRS) that jointly quantifies harvest-now/decrypt-later exposure, on-spend vulnerability, and migration feasibility as a function of node hardware class and deployment lifespan. We benchmark all four NIST-standardised post-quantum cryptography algorithms (ML-KEM-512, ML-DSA-44, FN-DSA/FALCON-512, SLH-DSA-128s) on representative WSN hardware (Raspberry Pi Pico RP2040 and ESP32) and identify FN-DSA/FALCON-512 as the superior candidate for WSN-blockchain transaction authentication, offering 666-byte signatures at 71.6 ms mean signing time on Cortex-M0+ hardware. A concrete, tiered migration roadmap is proposed for healthcare WSN, industrial IIoT, and smart city sensor deployments.
Bitcoin already faces a quantum threat through Shor attacks on elliptic-curve signatures. This paper isolates the other component that public discussion often conflates with it: mining. Grover's algorithm halves the exponent of brute-force search, promising a quadratic edge to any quantum miner of Bitcoin. Exactly how large that edge grows depends on fault-tolerant hardware. No prior study has costed that hardware end to end. We build an open-source estimator that sweeps the full attack surface: reversible oracles for double-SHA-256 mining and RIPEMD-based address preimages, surface-code factory sizing, fleet logistics under Nakamoto-consensus timing, and Kardashev-scale energy accounting. A parametric sweep over difficulty bits b, runtime caps, and target success probabilities reveals a sharp transition. At the most favourable partial-preimage setting (b = 32, 2^224 marked states), a superconducting surface-code fleet still requires about 10^8 physical qubits and about 10^4 MW. That load is comparable to a large national grid. Tightening to Bitcoin's January 2025 mainnet difficulty (b about 79) explodes the bill to about 10^23 qubits and about 10^25 W, approaching the Kardashev Type II threshold. These numbers settle a narrower question than "Is Bitcoin quantum-secure?" Once Grover mining is lifted from asymptotic query counts to fault-tolerant physical cost, practical quantum mining collapses under oracle, distillation, and fleet overhead. To push mining into non-trivial consensus effects, one must invoke astronomical quantum fleets operating at energy scales that lie far above present-day civilization.
This whitepaper seeks to elucidate implications that the capabilities of developing quantum architectures have on blockchain vulnerabilities and mitigation strategies. First, we provide new resource estimates for breaking the 256-bit Elliptic Curve Discrete Logarithm Problem, the core of modern blockchain cryptography. We demonstrate that Shor's algorithm for this problem can execute with either <1200 logical qubits and <90 million Toffoli gates or <1450 logical qubits and <70 million Toffoli gates. In the interest of responsible disclosure, we use a zero-knowledge proof to validate these results without disclosing attack vectors. On superconducting architectures with 1e-3 physical error rates and planar connectivity, those circuits can execute in minutes using fewer than half a million physical qubits. We introduce a critical distinction between fast-clock (such as superconducting and photonic) and slow-clock (such as neutral atom and ion trap) architectures. Our analysis reveals that the first fast-clock CRQCs would enable on-spend attacks on public mempool transactions of some cryptocurrencies. We survey major cryptocurrency vulnerabilities through this lens, identifying systemic risks associated with advanced features in some blockchains such as smart contracts, Proof-of-Stake consensus, and Data Availability Sampling, as well as the enduring concern of abandoned assets. We argue that technical solutions would benefit from accompanying public policy and discuss various frameworks of digital salvage to regulate the recovery or destruction of dormant assets while preventing adversarial seizure. We also discuss implications for other digital assets and tokenization as well as challenges and successful examples of the ongoing transition to Post-Quantum Cryptography (PQC). Finally, we urge all vulnerable cryptocurrency communities to join the ongoing migration to PQC without delay.
The expected emergence of cryptographically relevant quantum computers (CRQCs) will represent a singular discontinuity in the history of digital security, with wide ranging impacts. This Perspective seeks to elucidate specific implications that the capabilities of developing quantum architectures have on blockchain vulnerabilities and potential mitigation strategies. First, we provide new resource estimates for breaking the 256-bit Elliptic Curve Discrete Logarithm Problem over the secp256k1 curve, the core of modern blockchain cryptography. We demonstrate that Shor’s algorithm for this problem can execute with either ≤ 1200 logical qubits and ≤ 90 million Toffoli gates or ≤ 1450 logical qubits and ≤ 70 million Toffoli gates. In the interest of responsible disclosure, we use a zero-knowledge proof to validate these results without disclosing attack vectors. On superconducting architectures with 10 − 3 physical error rates and planar connectivity, those circuits can execute in minutes using fewer than half a million physical qubits. We introduce a critical distinction between “fast-clock” (such as superconducting and photonic) and “slow-clock” (such as neutral atom and ion trap) architectures. Our analysis reveals that the first fast-clock CRQCs would enable “on-spend” attacks on public mempool transactions of some cryptocurrencies. We survey major cryptocurrency vulnerabilities through this lens, identifying systemic risks associated with advanced features in some blockchains such as smart contracts, proof-of-stake consensus, and data availability sampling mechanism, as well as the enduring concern of “abandoned” assets. We argue that technical solutions would benefit from accompanying public policy and discuss various frameworks of “digital salvage” to regulate the recovery or destruction of dormant assets while preventing adversarial seizure. We also discuss implications for other digital assets and tokenization as well as challenges and successful examples of the ongoing transition to post-quantum cryptography (PQC). Finally, we urge all vulnerable cryptocurrency communities to join the migration to PQC without delay.