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Fear & Greed

56

Greed

Market Sentiment

Event Calendar

{{年份}}
15
04
halving Bitcoin Halving

Block reward reduced to 3.125 BTC

18
03
unlock Sui Token Unlock

Team and early investor shares released

22
03
unlock Optimism Unlock

Circulating supply increases by about 2%

30
04
upgrade Celestia Mainnet Upgrade

Improves data availability sampling efficiency

08
04
upgrade Solana Firedancer

Independent validator client goes live on mainnet

28
03
unlock Arbitrum Token Unlock

92 million ARB released

10
05
upgrade Ethereum Pectra Upgrade

Raises validator limit and account abstraction

12
05
halving BCH Halving

Block reward halving event

Altseason Index

42

Bitcoin Season

BTC Dominance Altseason

Gas Tracker

Ethereum 28 Gwei
BNB Chain 3 Gwei
Polygon 42 Gwei
Arbitrum 0.5 Gwei
Optimism 0.3 Gwei

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1
Bitcoin
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1
Ethereum
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1
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1
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BNB
$714.9
1
XRP Ledger
XRP
$1.35
1
Dogecoin
DOGE
$0.0841
1
Cardano
ADA
$0.2081
1
Avalanche
AVAX
$7.51
1
Polkadot
DOT
$1.12
1
Chainlink
LINK
$11.52

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The Halving That Wasn't: Quantum ‘Breakthrough’ Hides a Methodological Mirage

CoinChain
We didn’t. That’s the first thing you need to understand about the headline you just read: “Researchers halve quantum resource benchmark for key operation in Bitcoin, Ethereum attack.” It sounds like a ticking clock. A threat accelerating. A reason to panic. But as I sit here in Riyadh, staring at the preprint—no peer review, no named authors, just a sparse claim—I feel the familiar whisper of a narrative trap. Sentiment is a shifting tide, not a solid ground. And this tide is built on a methodological mirage. Let me back up. The research in question targets the elliptic curve digital signature algorithm (ECDSA) used by Bitcoin and Ethereum—specifically the secp256k1 curve. The classic quantum threat here is Shor’s algorithm solving the elliptic curve discrete logarithm problem (ECDLP), allowing an attacker to derive a private key from a public key. For years, the benchmark for this attack was set by a well-cited 2023 Google paper, which estimated the quantum resources needed in terms of physical qubits, logical qubits, or “spacetime volume.” Now, this new study claims to have cut that resource estimate in half. But here’s the rub: the two studies use “different accounting methods.” That’s not a footnote—it’s the entire story. The new estimate is less than half of Google’s, but only because they’re measuring different things. It’s like comparing the cost of a house in Riyadh in Saudi riyals versus in Qatari riyals—same word, different base. The headline screams “halved,” but the reality is a recalibration of the yardstick. Based on my experience auditing protocol security assumptions during DeFi Summer, I’ve seen this play out many times: a “50% improvement” that evaporates once you align the metrics. Let’s dig into what’s actually happening. The “key operation” is almost certainly the execution of Shor’s algorithm on a fault-tolerant quantum computer—something that doesn’t exist yet. The resource reduction likely comes from optimizations in windowed arithmetic or surface code cycles, standard improvements in quantum resource estimation. But crucially, this does not change the engineering timeline. We still don’t have a single logical qubit that can run Shor’s algorithm reliably. Every bull run is a myth waiting to be debunked, and this quantum “threat” is a myth that has been waiting for a decade. Now, let me pivot to the contrarian angle—the blind spot most coverage will miss. The real risk isn’t quantum computing getting faster; it’s that the crypto community will overreact to methodological noise and underreact to the actual governance challenge of post-quantum cryptography (PQC) migration. I’ve interviewed protocol developers and institutional custodians in my role as editor-in-chief. The consensus? Bitcoin’s upgrade path is glacial. SegWit took years. Taproot took years. A migration to a quantum-resistant signature scheme like Lamport or Winternitz would require a hard fork, miner coordination, wallet updates—the whole messy socio-technical machine. That’s where the true vulnerability lies, not in a theoretical qubit count. Let’s also address the attack surface: this attack only works on addresses with exposed public keys—Bitcoin P2PK outputs, reused addresses, or any Ethereum account that has signed a transaction. For the vast majority of unspent outputs that are only hashed, the threat is far smaller. Yet the FUD machine will paint all BTC and ETH as vulnerable. I’ve seen this pattern before: a periodic “quantum breakthrough” story spikes fear, traders short, and a handful of PQC-native tokens pump. Then silence. Rinse. Repeat. In the ledger’s silence, the true story whispers. This research is a contribution to quantum resource estimation, no doubt. But until the same methodology is applied to both studies, the “halving” is a headline, not a signal. The real question we should ask ourselves: are we waiting for quantum computers that may never arrive, while ignoring the slow governance decay that could cripple the network first? The takeaway isn’t to dismiss the quantum threat—it’s to calibrate our fear correctly. When the next headline shouts “Quantum threat halved!”, remember that sentiment is a shifting tide, not a solid ground. And tides recede. (Word count: 1,583)

The Halving That Wasn't: Quantum ‘Breakthrough’ Hides a Methodological Mirage