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Ethereum <b>Quantum Computers</b> Plan Quantum Security 2029

Ethereum Quantum Computers is advancing a multi-year strategy to strengthen its blockchain against future quantum computing risks while improving scalability and efficiency. Ethereum co-founder Vitalik Buterin announced a three-to-four-year roadmap focused on post-quantum security, and further infrastructure upgrades will last until around 2029. Ethereum Quantum Computers Introduce STARK Verification and Quantum-Safe Signatures A major feature of the Ethereum Quantum Computers roadmap is replacing traditional transaction re-execution with native STARK verification. The system would verify transactions more efficiently while reducing computational costs for certain decentralized applications by more than tenfold. Improved verification could enhance network performance as Ethereum continues processing growing transaction volumes and increasingly complex decentralized applications. Another significant upgrade implies replacing existing ECDSA and BLS cryptographic systems with hash-based quantum-resistant signatures. The mentioned cryptographic solutions will protect user funds, operations of validators, and the whole Ethereum blockchain in the face of the growing development of quantum technology. Ethereum is planning to expand the state storage capacity to nearly 100 terabytes by 2030 and thus increase scalability without compromising the network performance. Increased storage capacity will allow for processing growing blockchain activity, decentralized finance protocols, tokenized assets, and enterprise applications, which will secure the ability of Ethereum to cope with ecosystem development in the long term. Ethereum Quantum Computers Foundation Expands Post-Quantum Security Research The Ethereum Quantum Computers project also implies more research work conducted by the Ethereum Foundation, which in January 2026, created a special Post-Quantum Security team. Current initiatives of Ethereum Quantum Computers include leanXMSS quantum-safe signatures, leanVM zero-knowledge virtual machine for signature compression, weekly interoperability testing of more than ten client teams, and research into better data availability infrastructure. This roadmap also complies with cryptographic standards developed by the U.S. National Institute of Standards and Technology in 2024. Ethereum EIP-8141 adds native account abstraction to Ethereum, giving

A diamond <b>quantum</b> sensor can pinpoint exactly where power gets wasted in a data center

A diamond quantum sensor can pinpoint exactly where power gets wasted in a data center A room-temperature quantum sensor captures tiny electrical changes and turns them into real-time energy-saving recommendations. Read Next: Chinese semiconductor firm expands with $1.15 billion chip packaging plantWhile much of the quantum industry’s attention remains fixed on next-generation computers, a South Korean startup is taking a different approach. Instead of focusing on quantum computing, it is using quantum sensors to help factories, data centers, and large buildings identify exactly where electricity is being wasted. At Quantum Korea 2026, South Korea’s largest quantum science and technology event, held in Seoul, deep-tech company xDots demonstrated a system called xEnergy, built around a quantum sensor named xSee. Rather than simply telling operators how much electricity a facility consumes, the platform is designed to pinpoint when, where, and why energy is being wasted in real time. “xEnergy accurately pinpoints when factory equipment wastes the most power and how operation cycles should be adjusted to be efficient, ” Woodo Lee, founder and CEO of xDots, said If early industrial trials of this system continue to hold up, the approach could make quantum sensing one of the first quantum technologies to generate measurable savings in everyday industrial operations. Creating a quantum sensor out of a defect One of the biggest challenges in industrial energy management is visibility. Large manufacturing plants, refrigeration systems, HVAC equipment, and data centers contain thousands of electrical components. Conventional sensors measure current and power reasonably well, but they can struggle to detect extremely small changes that may reveal inefficient operating cycles, equipment beginning to fail, or unnecessary power consumption. More from Innovation See AllxDots’ solution relies on diamond nitrogen-vacancy (NV) centers—tiny defects deliberately created inside a diamond crystal, where instead of every carbon atom being perfectly arranged, one

Binance's CZ proposes freezing Satoshi's 1.1M b...

Ethereum nears key breakout against Bitcoin, signaling potential price surge. Ethereum's ETH/BTC trading pair is approaching a critical technical breakout after months of underperformance. The price is testing a major convergence of buy signals near a descending pitchfork channel and the Ichimoku Kumo cloud at 0.028 BTC. If Et...

Debate arises over freezing Satoshi's 1M BTC wa...

Taiwan Freedom Project launches to defend Taiwan's sovereignty and counter CCP influence through information. The Taiwan Freedom Project has launched a special publication in The Washington Times to highlight Taiwan's geopolitical importance and counter Chinese Communist Party (CCP) narratives. The 32-page section features bipartisan U.S. lawmakers and Taiwa...

Bitcoin experts debate freezing Satoshi's 1M bitcoin amid <b>quantum</b> threat

Bitcoin experts debate freezing Satoshi’s 1M bitcoin amid quantum threat A Google quantum AI warning has reignited a long-simmering argument about whether Bitcoin should freeze wallets tied to its anonymous creator Bitcoin has survived exchange collapses, regulatory crackdowns, and roughly a dozen declared deaths. Now it faces a philosophical crisis with actual technical teeth: what happens when quantum computers get powerful enough to crack Bitcoin’s cryptography, and millions of coins, including those belonging to Satoshi Nakamoto, become sitting targets? The threat is real, and the clock is ticking A Google Quantum AI whitepaper has given the community something concrete to argue about. The report warns that quantum computers could derive Bitcoin private keys from public keys in as little as nine minutes, with that capability expected to become realistic by 2029. Here’s the thing about Bitcoin’s security model: it relies on elliptic curve cryptography, a system where knowing someone’s public key doesn’t let you work backwards to their private key. Quantum computers, particularly those running Shor’s algorithm, can do exactly that math, in theory breaking open any wallet whose public key is exposed on the blockchain. Early Bitcoin addresses, known as P2PK addresses, are especially vulnerable because they expose public keys directly. More recent address formats partially obscure the public key behind a hash, buying some time, but not immunity. Estimates put the total quantum-vulnerable Bitcoin supply somewhere between 6.7 and 6.9 million BTC. That’s a meaningful slice of the roughly 21 million coins that will ever exist. The Satoshi problem Nested inside that larger number is a more emotionally loaded subset: approximately 1.1 million BTC widely attributed to Satoshi Nakamoto, sitting in wallets that have never moved and whose public keys are known. Binance co-founder Changpeng Zhao has proposed a specific solution. His suggestion: give the community a migration

Microsoft says it is ramping up its <b>quantum computing</b> security work

'Advances in quantum research and development have shifted the risk horizon': Microsoft says it is ramping up its quantum computing security work Microsoft wants quantum-safe security before tomorrow's computers rewrite today's assumptions - Quantum readiness is moving from research projects into deployment schedules - The 2029 deadline signals growing urgency across enterprise security planning - Crypto agility could become as important as encryption strength itself Quantum computing timelines, once treated as distant concerns, are increasingly influencing security planning across major technology companies worldwide. Microsoft has revealed it is now accelerating its Quantum Safe Program, arguing that preparations for post-quantum cryptography can no longer wait indefinitely. The company says organizations should begin preparations immediately because the migration process could require several years across large infrastructures. Microsoft moves quantum preparations into its wider security strategy The company plans to complete the transition of critical offerings to post-quantum cryptography technologies before the end of 2029. Microsoft also confirmed that quantum readiness metrics will become part of its broader Secure Future Initiative security programme moving forward. Rather than concentrating exclusively on replacing cryptographic algorithms, the company believes infrastructure modernization should receive greater attention from organizations globally. Microsoft argued that improving flexibility within existing systems could reduce the complexity associated with future cryptographic transitions considerably over time. Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed! One priority involves upgrading network cryptography through newer standards such as TLS 1.3 and hybrid key exchange technology adoption. Another objective involves developing crypto agility capabilities allowing cryptographic mechanisms to change without requiring extensive application redesign work later. The company also intends to modernize trust chains supporting certificate issuance, software updates, code signing, and hardware-backed protections. Microsoft has not identified a single scientific breakthrough responsible for

Bitcoin experts split over plan to freeze Satoshi's 1.1 million bitcoin as <b>quantum</b> threat grows

Bitcoin experts split over plan to freeze Satoshi's 1.1 million bitcoin as quantum threat grows Binance founder Changpeng Zhao said Satoshi Nakamoto's bitcoin should be frozen before quantum computers can steal it. Not everyone agrees. - Binance founder Changpeng Zhao has suggested freezing Satoshi Nakamoto’s estimated 1.1 million bitcoins if they remain unmoved once quantum computers threaten Bitcoin’s cryptography, a proposal that has divided leading industry figures. - Critics such as investor Michael Terpin argue that freezing Satoshi’s coins would violate Bitcoin’s core principle of being a permissionless system and doubt the decentralized community could reach consensus on such a change. - Other experts, including developer Jameson Lopp and Bitwise’s Matt Hougan, say the real issue is preparing Bitcoin for a post-quantum world, with ideas ranging from phased cryptographic upgrades to placing Satoshi’s coins in a legal trust, though all agree the debate is still largely theoretical. Binance founder Changpeng Zhao's suggestion that the estimated 1.1 million tokens belonging to Bitcoin creator Satoshi Nakamoto should be frozen to prevent them from being stolen should quantum computers break the blockchain's cryptography elicited conflicting views among some of the industry's best-known investors, developers and entrepreneurs. Zhao, widely known by his initials CZ, floated the idea during a podcast last month with Galaxy Digital's Alex Thorn. His idea was to give Satoshi six to 12 months to move the bitcoin "If we don't do anything with it, then we're basically giving it to somebody who's going to hack it," Zhao said. Among the concerns is the possibility that someone with access to the tokens might dump them on the market, flooding supply and crashing the price. An alternative worry is the blockchain seizing control of an individual's property in a system that's designed to be permissionless and trustless. Michael Terpin, founder and CEO

IQM <b>Quantum Computers</b> Oy. (ohel:IQMX) Profile

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IQM <b>Quantum Computers</b> Oy. (ohel:IQMX) Share Price

IQM Quantum Computers Oy. IQMX Company Profile - Business description- IQM Quantum Computers Oy is engaged in superconducting quantum computing and provides quantum computing systems and cloud platform access to enterprises, research institutions, high-performance computing centers, and national laboratories. Its offerings include quantum systems based on an open and modular architecture, with operations in Munich, Germany, and deployments across Europe, Asia, and North America. - Contact- Keilaranta 19 Espoo02150 FIN- T: +358 505696439 - Sector- Technology - Stock type- Sensitive - Industry- Software - Infrastructure - Fiscal Year End- Employees Morningstar Investment Ideas Markets | Index | Last price | Change | % Change | |---|---|---|---| | All Ordinaries | 9,048.30 | 74.60 | 0.83% | | CAC 40 | 8,508.07 | 33.21 | 0.39% | | DAX 40 | 25,779.31 | 198.43 | 0.78% | | Dow JONES (US) | 52,900.07 | 594.83 | 1.14% | | FTSE 100 | 10,679.03 | 26.16 | 0.25% | | HKSE | 23,350.03 | 295.00 | 1.28% | | NASDAQ | 25,832.67 | 207.36 | -0.80% | | Nikkei 225 | 69,744.07 | 1,010.92 | 1.47% | | NZX 50 Index | 13,618.42 | 36.23 | 0.27% | | S&P 500 | 7,483.24 | 0.01 | 0.00% | | S&P/ASX 200 | 8,844.40 | 75.10 | 0.86% | | SSE Composite Index | 4,043.64 | 14.74 | 0.37% |

Single Ion Cracks <b>Quantum</b> Chip Noise Problem: 3D Map, Record Sensitivity

For more than 30 years, the field of trapped-ion quantum computing has known it had a noise problem near chip surfaces — and had no precise way to measure it. Researchers at ETH Zurich published a technique in June 2026 that resolves both issues: a single trapped beryllium ion, suspended and repositioned above a quantum chip with micrometer precision, can now build a fully three-dimensional map of the electromagnetic fields that degrade quantum bits — and do so with sensitivity no previous instrument inside a chip trap has matched. For engineers building the next generation of quantum processors, the result means that a 30-year empirical guessing game about which chip materials produce the least noise can, for the first time, be replaced with direct measurement. The paper, by Tobias Sägesser, Shreyans Jain, and colleagues at the ETH Zurich Institute for Quantum Electronics — published online in Science Advances on June 19, 2026 — establishes a sensitivity record of 10 nanovolts per meter for oscillating electric fields, measured in a single second of wait time. For scale: the electromagnetic field from a mobile phone, measured from several kilometers away, is still roughly 10,000 times stronger than the signals the ETH team can now resolve at micrometer distances from a chip surface. Why Electric Field Noise Kills Quantum Bits Trapped-ion quantum computers store information in the electronic states of individual charged atoms, suspended in carefully designed electromagnetic fields and manipulated with laser pulses. In the early decades of the field, those traps filled entire rooms. Miniaturization has since compressed them onto millimeter-scale chips, bringing ions within a hair's breadth of a solid surface — and directly into the electromagnetic environment that surface creates. That proximity has a severe cost. Electric field noise originating from chip surfaces can jostle a trapped ion's motional

Is D-Wave <b>Quantum</b> a Buy? | The Motley Fool

Quantum computing's potential to accelerate complex computations opens a new frontier of technological innovation. Investors have piled into quantum computing stocks in anticipation of the investment opportunities quantum computing could create over the next decade. D-Wave Quantum (QBTS 4.13%), an early-stage quantum computing company that's begun ramping up its commercial operations, has been one of the hottest names in the space. Shares of D-Wave Quantum have traded between $12 and $46 over the past year and currently sit somewhere near the middle at $24 per share. With the business building momentum, is the stock a buy now? Here's why investors may want to hold off for now. The business is building momentum, but it's still early D-Wave Quantum is developing annealing and gate-model quantum computer systems, software, and services for commercial applications. The company hasn't generated much revenue to date, as quantum computers aren't yet reliable enough for everyday commercial applications. The business is just getting started, with trailing-12-month revenue of just $12.4 million. That said, D-Wave Quantum's order backlog took a big leap in the first quarter of 2026. The company sold a computer system to Florida Atlantic University for $20 million. It inked a $10 million agreement with a Fortune 100 customer for cloud-based access to quantum computing, which investors could think of as quantum computing-as-a-service. Every contract D-Wave Quantum wins moves the needle at this stage, when the numbers are this small. As it stands now, analysts estimate that D-Wave Quantum will generate approximately $42.5 million in revenue this fiscal year, followed by $86.1 million the next. Meanwhile, investors must still grapple with a steep valuation Perspective is especially important when talking about a stock with a market cap of $8.4 billion. D-Wave Quantum is trading at roughly 200 times Wall Street's revenue estimates for this year,

<b>Quantum</b> Readiness Governance: Why Regulators Must Measure, Not Just Warn

| | || A year ago, the quantum-security conversation in policy circles was about persuasion: convincing regulators that “harvest now, decrypt later” was real, and that the threat would not wait for the hardware. That argument is largely won. In June 2026, the United States signed Executive Order 14412, turning years of advisories into dated federal deadlines. The European Union has a coordinated roadmap; China has a decade of state-built quantum infrastructure. The standards are finished. Which surfaces a harder question—and it is the one regulators now actually face: not whether to act, but how to know who is ready. We have migration guides, algorithm catalogues, and executive orders. What we do not have is a governance instrument: a way for a board to ask “how ready are we?”, an auditor to verify the answer, and a regulator to compare answers across licensees. Closing that gap is the next task. The premise no longer needs labouring. In 2021, the NSA stated plainly that “adversaries may be collecting encrypted data now, waiting for the day when quantum computers can decrypt it.” The tactic needs no quantum hardware—only interception, cheap storage, and patience—and it targets data whose value outlives its encryption: subscriber identities, location and billing archives, lawful-intercept material, long-horizon intellectual property. For telecommunications, the calculus is not close. Mosca’s inequality holds that if the years data must stay secret (X) plus the years to migrate (Y) exceed the years to a capable quantum computer (Z), exposure exists now. Telecom data carries confidentiality obligations of a decade or more; enterprise migration realistically takes five to seven years; the prudent horizon sits near 2030—2031. Ten plus five exceeds eight. The migration start date is set by arithmetic, not by quantum optimism. And the threat is targeted, not total. Shor’s algorithm breaks the public-key

New optical centrifuge unlocks the secrets of frictionless superfluids | ScienceDaily

New optical centrifuge unlocks the secrets of frictionless superfluids - Date: - July 4, 2026 - Source: - University of British Columbia - Summary: - Physicists have developed a new optical centrifuge that can precisely spin molecules inside a superfluid for the first time. The advance could help unravel some of the biggest mysteries of quantum liquids and reveal how superfluidity breaks down at the atomic scale. - Share: Physicists have developed a new way to control the rotation of molecules inside tiny droplets of liquid helium, marking an important advance in the study of superfluids. By using a specially designed optical centrifuge, the team was able to precisely spin molecules suspended in liquid helium nano-droplets, giving scientists a powerful new tool for exploring these unusual frictionless materials. The achievement represents the first successful demonstration of controlled molecular rotation inside a superfluid. Researchers can now directly adjust both the direction and speed of a molecule's rotation, making it possible to investigate how molecules interact with their quantum surroundings at different rotational frequencies. The work, led by researchers at the University of British Columbia (UBC) in collaboration with the University of Freiburg, was published in Physical Review Letters. "Controlling the rotation of a molecule dissolved in any fluid is a challenge," said Dr. Valery Milner, associate professor with UBC Physics and Astronomy and author on the paper. "Dissolved molecules interact with the atomic or molecular constituents of the fluid, effectively getting bigger and harder to spin up. Imagine making a snowball: It's very easy to move it when it's small, but gets harder and harder as more snow gets attached to it." Understanding Superfluids Superfluids, such as liquid helium cooled to temperatures near absolute zero, are an unusual state of matter that flows without viscosity. Even though they have no internal

Arvind Krishna Confirms First IBM <b>Quantum Computer</b> For India

Amaravati will soon host one of the first two IBM quantum computers installed in India, with commissioning confirmed for September 2026. The system is intended to bolster Andhra Pradesh’s ambition to become a national quantum technology hub, providing crucial infrastructure for research, startups, and enterprises. Arvind Krishna, Chairman and Chief Executive Officer of IBM, announced the plans, signaling growing confidence in the technology’s near-term potential. “Quantum computers are just two to three years away from delivering significant commercial advantages across sectors such as pharmaceuticals, materials science, financial services, logistics, cybersecurity and advanced AI,” Krishna said, predicting a surprisingly swift path to widespread impact. The installation is expected to place Amaravati at the center of India’s developing quantum technology landscape. The commitment extends beyond hardware provision, aiming to cultivate a comprehensive quantum ecosystem encompassing research institutions, startups, and established enterprises, all benefiting from access to advanced computational capabilities. This is a collaborative effort uniting government, industry, and academia to foster quantum technology development and commercialization. The impending arrival of IBM’s quantum system is anticipated to accelerate India’s progress in tackling complex computational challenges currently beyond the reach of conventional computers; sectors poised to benefit include healthcare, materials science, and financial services, with potential applications ranging from drug discovery to logistics optimization. The project is expected to draw researchers and technology firms to Amaravati, fostering a skilled workforce capable of developing quantum applications for both domestic and international markets; by providing direct access to IBM’s quantum computing platform, the city aims to strengthen India’s standing in the global quantum technology landscape and support sustained research, innovation, and commercial endeavors. The installation signifies a crucial step in bolstering India’s deep technology capabilities and aligns with broader national efforts to cultivate expertise in emerging fields like artificial intelligence and advanced computing. Quantum Computing Applications

How OLCF's QCUP Enabled Particle Physics On IBM <b>Quantum</b>

A researcher at Lawrence Berkeley National Laboratory has successfully simulated hadronization, the process where quarks bind together to form particles like protons and neutrons, by remotely accessing IBM quantum hardware through the Oak Ridge Leadership Computing Facility’s (OLCF) Quantum Computer User Program (QCUP). Despite physical experiments at facilities like CERN’s Large Hadron Collider providing indirect measurements, the complete steps of hadronization remain elusive, prompting the need for advanced computer simulations. This project lays the groundwork for leveraging quantum computers to perform calculations beyond the reach of even the most powerful classical supercomputers. “In principle, we know the theory that describes hadronization, but we are unable to make predictions using it because the calculations have been too difficult for a classical computer,” said Anthony Ciavarella, the Berkeley Lab research scientist who led the project; on a quantum computer, direct predictions detailing how hadronization occurs may be possible, aiding searches for new physics. IBM QCUP Enables Hadronization Simulations The ability to model the fleeting moments after high-energy particle collisions has improved thanks to a collaboration leveraging IBM quantum hardware. His findings have been published in Physical Review D. The simulation focused on the fundamental mechanism of where “strings” of gluons stretch and ultimately “snap” apart, releasing energy to create new quark-antiquark pairs. Ciavarella utilized 104 of the 156 qubits on IBM’s Heron processor, accessed via QCUP, and employed several techniques to simplify the simulation. These included focusing on heavy quarks, easier to simulate due to their limited spread, and a “scalable circuit concurrent variational quantum solver” co-developed by Ciavarella during his graduate studies. This solver prepared the quantum computer’s qubits in a stable, low-energy quantum vacuum state. “The idea is to optimize these vacuum preparation circuits on a small system size, then do it with slightly bigger systems, and then even bigger