Coinbase Announces New Board Of Experts To Combat Rising Quantum Computing Risks

bitcoinistОпубликовано 2026-01-23Обновлено 2026-01-23

Введение

Coinbase has formed an independent advisory board of external experts to address the emerging security threats posed by quantum computing. The board includes academics from institutions like Stanford and Harvard, as well as representatives from the Ethereum Foundation, EigenLayer, and Coinbase. According to Chief Information Security Officer Jeff Lunglhofer, quantum computers could potentially break the encryption protecting Bitcoin wallets and private keys, which currently rely on complex mathematical problems unsolvable by conventional computers in feasible time. Although this threat is not expected to materialize for at least a decade, the board will publish research and position statements to help the industry prepare. Initial defensive measures may include larger keys and added “noise” to obscure data. The first paper, focusing on quantum computing’s impact on blockchain consensus and transaction layers, is expected within months.

The crypto industry is preparing for a potential security challenge with the anticipated arrival of quantum computing. In response to this potential threat, Coinbase (COIN) has announced the formation of an advisory board composed of external experts.

Coinbase Chief Security Officer’s Warning

According to a report from Fortune, the newly established board includes academics from Stanford, Harvard, and the University of California, specializing in fields like computer science, cryptography, and fintech.

Officially titled the Coinbase Independent Advisory Board on Quantum Computing and Blockchain, the group also features experts from the Ethereum Foundation, the decentralized finance (DeFi) platform EigenLayer, and Coinbase itself.

Jeff Lunglhofer, Coinbase’s Chief Information Security Officer, elaborated on the potential impact of quantum computing on current encryption methods.

He explained that the encryption protecting wallets and private keys of Bitcoin (BTC) holders relies on complex mathematical problems that would take conventional computers thousands of years to solve.

However, with the computational power that quantum computers promise—potentially a million times greater—these problems could be solved much more swiftly, Lunglhofer asserted.

Although the security implications of quantum computing are genuine, Lunglhofer reassured that they are not expected to become an immediate concern for at least a decade. The purpose of the new advisory board is to examine the upcoming challenges posed by quantum computing in a measured manner.

This involves fostering initiatives within the blockchain industry that are reportedly already underway to enhance the resilience of Bitcoin and other networks against quantum attacks.

Blockchain Networks Expected To Implement Larger Keys

At present, Bitcoin secures its wallets through private keys, which consist of long strings of random characters. These keys are accessible to their owners but can only be estimated through extensive trial-and-error computations.

The advent of quantum computing, however, would make it feasible to deduce private keys using trial-and-error methods in a fraction of the time.

In response to this looming threat, Fortune disclosed that blockchain experts speculate that networks will implement larger keys and add “noise” to obscure their locations, making them more difficult to detect. Implementing these defensive upgrades across blockchain networks is said to take several years.

In the meantime, the newly formed Coinbase Advisory Board is gearing up to publish research papers and issue position statements aimed at helping the cryptocurrency industry brace for the impacts of quantum computing.

Their first paper, which will address quantum’s influence on the consensus and transaction layers of blockchain, is expected to be released within the next couple of months.

The daily chart shows COIN’s valuation trending downwards. Source: COIN on TradingView.com

At the time of writing, Coinbase’s stock, which trades under the ticker symbol COIN on the Nasdaq, is trading at $225.10. This represents a slight drop of 1.2% over the last 24 hours.

Featured image from OpenArt, chart from TradingView.com

Связанные с этим вопросы

QWhat is the primary purpose of Coinbase's newly formed advisory board?

AThe primary purpose of the Coinbase Independent Advisory Board on Quantum Computing and Blockchain is to examine the upcoming challenges posed by quantum computing in a measured manner and help the cryptocurrency industry brace for its impacts.

QAccording to the Coinbase CISO, why is quantum computing a potential threat to current cryptocurrency encryption?

AQuantum computing is a threat because the encryption protecting wallets and private keys relies on complex mathematical problems that conventional computers take millennia to solve, but quantum computers, with their immense computational power, could solve them much more swiftly.

QWhat are two potential defensive upgrades that blockchain networks might implement against quantum attacks?

ABlockchain networks are expected to implement larger keys and add 'noise' to obscure transaction locations, making them more difficult to detect and crack.

QWhat is the expected timeline for the first research paper from the advisory board, and what will it address?

AThe advisory board's first research paper is expected to be released within the next couple of months and will address quantum computing's influence on the consensus and transaction layers of blockchain.

QWhat was the performance of Coinbase's stock (COIN) at the time the article was written?

AAt the time of writing, Coinbase's stock (COIN) was trading at $225.10 on the Nasdaq, representing a slight drop of 1.2% over the previous 24 hours.

Похожее

2026 New Policy Interpretation: The "Mutual Pursuit" of Intelligent Agents and AI Terminals, and the Three Major Value Reconstructions in the AIoT Industry

In May 2026, China's national ministries released two pivotal policy documents that jointly establish a strategic "dual-track" framework for the AIoT industry. The "Intelligent Agent Standardized Application and Innovation Development Implementation Opinions" defines the "soul"—positioning intelligent agents as core AI products. The "Artificial Intelligence Terminal Intelligence Grading" national standard defines the "body"—establishing a four-tier capability ladder (L1 to L4) for AI hardware. This synchronized policy approach is globally unique, moving beyond market-led (US) or risk-focused (EU) models. It frames AIoT as a new type of "intelligent infrastructure," comparable to electricity or the internet in historical significance. The core analysis identifies a value evolution from IoT 1.0 (connection) to AIoT 4.0 (collaboration, represented by the forward-looking L4 level). This "L4" signifies a paradigm shift: from users operating tools to delegating tasks to agent-like devices ("Intelligent Action of All Things"). The article outlines three strategic paths for companies: becoming Standard Definers, Scenario Integrators (focusing on 19 specified application areas), or Infrastructure Builders. A critical 18-24 month window is identified for strategic positioning. A "Four Levers" strategy is proposed: leveraging Standards (L-level certification), leveraging Scenarios (deep vertical focus), leveraging Open Source (for cost reduction and ecosystem influence), and leveraging Momentum (engaging in global protocol ecosystems). In conclusion, these policies are a starting gun for a decade-long industrial transformation, shifting the industry narrative from "Intelligent Connection of All Things" to "Intelligent Action of All Things," with companies needing to choose their赛道and execution strategy decisively.

marsbit58 мин. назад

2026 New Policy Interpretation: The "Mutual Pursuit" of Intelligent Agents and AI Terminals, and the Three Major Value Reconstructions in the AIoT Industry

marsbit58 мин. назад

Splashing Out 27 Billion Yuan, OpenAI Establishes New Company to Accelerate AI Deployment

On May 11th, OpenAI announced the formation of a new company, "OpenAI Deployment Company," with an initial investment of over $4 billion (approximately 27.2 billion RMB). This venture aims to help businesses build and deploy AI solutions. OpenAI is also acquiring the AI consulting firm Toromo to rapidly scale the deployment company's capabilities. This new entity, majority-owned by OpenAI, brings together 19 investment, consulting, and system integration partners, led by TPG with co-lead founding partners including Advent International, Bain Capital, and Brookfield. OpenAI's Chief Revenue Officer, Denise Dresser, stated that while AI is becoming increasingly capable, the current challenge lies in integrating these systems into core business infrastructure and workflows. The deployment company is designed to bridge this gap and translate AI capabilities into operational impact. This move comes as OpenAI emphasizes the next competitive phase will depend on the efficiency of deploying AI in real business scenarios. The company reports over 1 million businesses already use its products and APIs. OpenAI is significantly increasing its investments in computing power, with co-founder Greg Brockman stating the company expects to spend $50 billion on compute this year, a dramatic increase from $3 million in 2017. The announcement follows OpenAI's recent completion of a record $122 billion funding round in late March, led by Amazon, Nvidia, and SoftBank, valuing the company at $852 billion post-money. Major strategic investors committed $110 billion as a base for this round. Concurrently, OpenAI is advancing its core model development. It has shifted focus from its Sora video generator to developing advanced robotics and AI models that interact with the physical world. It has also begun allowing select users access to a new model specialized in identifying software vulnerabilities and is reportedly preparing to launch an enhanced image generation model in the coming weeks. According to reports citing founder Sam Altman, OpenAI is considering an IPO as early as 2027, with a potential valuation around $1 trillion.

marsbit1 ч. назад

Splashing Out 27 Billion Yuan, OpenAI Establishes New Company to Accelerate AI Deployment

marsbit1 ч. назад

Торговля

Спот
Фьючерсы
活动图片