Grayscale Highlights Bitcoin’s Resilience as Community Prepares for Quantum Era

TheNewsCryptoОпубліковано о 2026-04-07Востаннє оновлено о 2026-04-07

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Grayscale's head of research, Zach Pandl, argues that Bitcoin's primary challenge in the quantum era is not technological but social. While a recent Google study raised concerns about quantum computers potentially breaking Bitcoin's encryption, Pandl highlights that Bitcoin's UTXO model, proof-of-work consensus, and lack of native smart contracts make it less vulnerable than other cryptocurrencies. The real issue lies in the community's ability to reach consensus on how to handle the estimated 1.7 million BTC in early, quantum-vulnerable addresses—including those possibly belonging to Satoshi Nakamoto. Potential solutions include burning those coins, limiting spending from risky addresses, or taking no action. This echoes past divisive debates, like the one surrounding Bitcoin Ordinals, underscoring the difficulty of achieving community agreement.

If the Bitcoin community is unable to resolve certain tense problems, the chief researcher at Grayscale warns that resolving the quantum danger to the cryptocurrency may be more of a social than a technological task. On March 30, Google published a document that grabbed the crypto industry’s attention. The research hinted that a quantum computer might perhaps decrypt Bitcoin’s encryption with a lot less power than expected.

However, Grayscale’s head of research Zach Pandl argued that Bitcoin’s technical solution isn’t the issue; he argued that “bitcoin has lower risk than other cryptocurrencies” due to its use of a UTXO model and proof-of-work consensus, lack of native smart contracts, and the fact that certain address types are not quantum vulnerable.

Community’s Ability to Decide on a Course of Action

Pandl said that the community’s ability to decide on a course of action would be the real obstacle. The fate of the approximately 1.7 million Bitcoins (BTC) held in early P2PK addresses, including Satoshi’s estimated 1 million BTC hoard, which is now valued at over $68 billion, has sparked heated debates among the Bitcoin community.

Coins for which the private key is unavailable or misplaced must be handled by the Bitcoin community, according to Pandl’s writing. Burning the coins, purposefully reducing the pace of spending from susceptible addresses, or doing nothing are their three primary alternatives.

In 2023, a major controversy involving Bitcoin Ordinals—a technology that allows for the imprinting of data like text and pictures onto a satoshi, the smallest unit of Bitcoin—erupts over the use of blockspace. Pandl was alluding to this. Even while things have calmed down a little in the intervening two years, the two camps are still very much divided.

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QWhat is the main challenge in addressing the quantum threat to Bitcoin according to Grayscale's head of research?

AThe main challenge is the community's ability to decide on a course of action, which is more of a social task than a technological one.

QWhy does Zach Pandl argue that Bitcoin has lower quantum risk than other cryptocurrencies?

AHe argues this is due to Bitcoin's use of a UTXO model, proof-of-work consensus, lack of native smart contracts, and the fact that certain address types are not quantum vulnerable.

QWhat is the estimated value of the Bitcoins held in early P2PK addresses mentioned in the article?

AThe approximately 1.7 million Bitcoins in early P2PK addresses, including Satoshi's estimated 1 million BTC, are valued at over $68 billion.

QWhat are the three primary alternatives the Bitcoin community has for handling coins with unavailable private keys?

AThe three primary options are burning the coins, purposefully reducing the pace of spending from susceptible addresses, or doing nothing.

QWhat major Bitcoin-related controversy from 2023 did Pandl allude to in relation to community divisions?

AHe alluded to the major controversy involving Bitcoin Ordinals, a technology that allows imprinting data like text and pictures onto a satoshi, which erupted over the use of blockspace.

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In Jinjiang, Fujian, a Storage Super Unicorn Lies Quiet

In Fujian's Jinjiang, a city known for sportswear, lies a quiet semiconductor giant: Fujian Jinhua Integrated Circuit Co. (JHICC). Once a promising domestic DRAM manufacturer alongside Yangtze Memory and ChangXin Memory Technologies (CXMT), its journey was derailed in 2018 when the U.S. placed it on an Entity List and filed criminal charges for alleged trade secret theft. This halted production for years. A turning point came in February 2024 when a U.S. federal court found JHICC not guilty. However, it had lost crucial time. While CXMT soared to become a top-valued A-share company in 2024, JHICC, with an estimated valuation of 80 billion RMB, was just restarting. Its current output is primarily customized DDR4 chips, not the advanced DDR5/HBM demanded for AI, but it still benefits from the broader memory chip upcycle. JHICC's story is tied to Chen Zhengkun, a veteran engineer who left Micron to lead the venture. Founded in 2016 with state-backed funding, JHICC partnered with Taiwan's UMC to develop DRAM technology. Rapid progress was cut short by the U.S. actions, which Micron initiated, partly due to its heavy reliance on the Chinese market. Post-sanctions, Chen's team worked to rebuild the production line with reduced reliance on U.S. technology. According to its records, JHICC achieved small-scale production and revenue growth under immense pressure. It now focuses on the stable "niche" DRAM market (e.g., TVs, routers) with a monthly capacity of ~40,000 wafers, aiming for 60,000 by 2026. It holds over 1,000 patents but remains on the Entity List. For Jinjiang, investing in JHICC was a bold industrial leap. The local government provided unwavering financial and logistical support during the crisis, helping the company survive. JHICC has become the anchor for a growing local semiconductor cluster. Though its scale lags behind domestic peers, JHICC's persistence symbolizes a hard-won foothold in a global market long dominated by Samsung, SK Hynix, and Micron. Having missed one boom, it seeks a place in the new AI-driven memory supercycle.

marsbit1 год тому

In Jinjiang, Fujian, a Storage Super Unicorn Lies Quiet

marsbit1 год тому

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