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Blockchain Startup BTQ Proposes More Energy Efficient Alternative to Crypto’s Proof of Work

A recently published journal article by researchers at BTQ, a startup working to build blockchain technology that can withstand attacks from quantum computers, has proposed an alternative to the Proof of Work (PoW) algorithm involving quantum technology.
Proof of Work is a blockchain consensus mechanism that secures the Bitcoin network. Participants crunch through vast amounts of math problems to validate transactions. Some have criticized the process as being too energy-intensive, while others have argued the opposite.
Quantum computing involves moving away from a process reliant on binary code, ones and zeros, which open and close transistor gates. Quantum bits (qubits) exist in multiple states simultaneously, vastly increasing computational power to the point where modern-day encryption built by classical computers – reliant on transistors and binary code – is threatened.
In its paper, BTQ researchers propose a quantum-based alternative called Coarse-Grained Boson Sampling (CGBS). This method uses light particles (bosons) to generate unique patterns—samples—that reflect the blockchain’s current state instead of hash-based mathematical puzzles.
The random sampling of these patterns would create encryption, in the same way that random numbers form the backbone of encryption made by classical computers.
Boson-sampling was initially created to demonstrate something called quantum supremacy, a test that determines when a mathematical equation is too complex for a classical computer.
These samples are grouped into categories, called bins, which make it easier to validate the results and confirm the miner’s work.
This approach replaces traditional cryptographic puzzles of PoW with quantum sampling tasks, significantly reducing energy consumption while ensuring the network remains secure and decentralized.
While BTQ’s proposal is theoretically interesting, achieving it would require a hard fork of the Bitcoin network with miners and nodes replacing their existing ASIC-based hardware (computers solely made for the PoW consensus mechanism) with quantum-ready infrastructure.
This would certainly be a herculean effort and might result in a fork as seen with the Blocksize Wars of years past.
Read more: The Blocksize Wars Revisited: How Bitcoin’s Civil War Still Resonates Today
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First Solana ETF to Hit the Market This Week; SOL Price Jumps 5%

Solana SOL jumped about 5% Monday morning amid rumors that a SOL Staking exchange-trade fund (ETF) by Rex Shares and Osprey Funds could start trading on the market as soon as Wednesday.
The token later fell back slightly, now trading up about 2.3% over the past 24 hours at $157 at press time.
A spokesperson for Osprey confirmed to CoinDesk that the «fund will launch Wednesday,» following a post on X by the automated headline account «Unfolded.»
Just last week, Rex filed a letter with the Securities and Exchange Commission (SEC) asking whether comments had been resolved for their filing. Later that day, the asset manager posted on X that the ETF was “coming soon,” suggesting that the SEC had no further comments.
The REX-Osprey SOL+Staking ETF would be the first of its kind in the U.S. Several issuers are still awaiting approval for a spot SOL ETF which would likely also include staking capabilities.
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Katana Mainnet Goes Live as Pre-Deposits Hit $232M

Self described ‘DeFi-first’ layer-2 blockchain Katana has launched its mainnet after receiving $232 million in pre-deposits.
Deposits flooded in after Katana was revealed to the public less than a month ago. DefiLlama data shows that deposited jumped from $75M to $2320M between June 1 and June 30.
Depositors will receive randomized reward NFTs called Krates, as well as a share of 70 million KAT tokens, Katana’s native token. Upon launch, yield farmers will be able earn more KAT by staking on platforms like Morpho and Sushi.
The blockchain aims to solve one of DeFi’s largest problems: Liquidity.
A lack of liquidity can lead to a multitude of issues including slippage, inefficient pricing and unsustainable yields.
Some of the mechanisms Katana will use to solve that the issues is VaultBridge, which is a product that enables yield generation on deposited assets on Ethereum, as well as chain-owned liquidity (CoL), which allows Katana to retain 100% of net sequencer fees and convert them into liquidity reserves.
«Katana represents the endgame for how blockchains create value in DeFi,» Marc Boiron, co-contributor of Katana said in a press release.
The launch coincides with yield farming incentives including token rewards for liquidity providers on Morpho and Sushi.
Despite being based on Ethereum, Katana is blockchain agnostic so users can generate a yield on blockchains like Solana through Katana’s collaboration with Jito, a liquid staking protocol.
UPDATE (June 30, 2025, 17:46 UTC): Updates to reflect new numbers in pre-deposits.
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Why Are There No Big DApps on Ethereum?

On July 30, 2025, we will be celebrating a decade since Ethereum launched on mainnet. Inarguably, one of the biggest milestones in this industry’s short life.
When it launched as the world’s first smart contract platform, this was obviously something entirely new and a completely new way of thinking about software. Instead of renting access to someone else’s platform that could change the rules or lock you out at any moment, one could – in theory – now participate in systems that belonged to everyone and no one, where the rules were written in code and couldn’t be arbitrarily changed by a CEO’s whim. Users would own their date, and software would be maintained and managed by a network rather than a boardroom. The consequences seemed pretty utopian.
However, nearly ten years on from Ethereum’s launch and the dreams of a Web3 version of Amazon, eBay, Facebook or TikTok haven’t arrived, and are nowhere on the horizon.
Gavin Wood, Ethereum co-founder, and his vision of “Web3” envisaged exactly that. Joe Lubin, the renowned founder of Consensys, said that “Ethereum will have that same pervasive influence on our communications and our entire information infrastructure.»
The libertarian journalist Jim Epstein predicted a year after Ethereum’s launch that “the same types of services offered by companies like Facebook, Google, eBay, and Amazon will be provided instead by computers distributed around the globe.”
Vitalik Buterin himself envisaged Ethereum “law, cloud storage, prediction markets, trading decentralized hosting, [hosting] your own currency,” in his 2014 Bitcoin Miami speech, where he announced Ethereum to the world. “Perhaps even Skynet,” the fictional artificial neural network from the Terminator films. He has described the platform he created as both a threat and an opportunity to platforms like Facebook and Twitter back in 2021.
The Scale Problem
The barrier to achieving this vision is scale. The most successful consumer applications today serve hundreds of millions of users. Instagram processes more than 1 billion photo uploads daily. eBay handles roughly 17 billion dollars in transactions each quarter. Facebook’s messaging platforms process trillions of messages annually.
Ethereum processes about 14 transactions per second, and Solana can handle over 1000. Instagram handles over 1 billion photo uploads daily. eBay processes 17 billion dollars in transactions quarterly. The math doesn’t work.
Let’s entertain the decentralized eBay example for a moment. A truly decentralized eBay would demand far more than simple payments. Every listing creation or update would require onchain transactions for item metadata, pricing, and condition details. Auctions would need automatic bidding resolution with time-locked smart contracts. Escrow systems would have to hold funds until delivery confirmation, with DAO arbitration for disputes.
User reputation systems would require immutable rating storage tied to wallet addresses. Inventory management would need real-time stock tracking, possibly through tokenized goods. Shipping confirmations would demand oracle integration for delivery proofs. Marketplace fees and tax royalties would need smart contract enforcement. Optional identity verification systems would require decentralized credential management. Each interaction would multiply the transaction load exponentially beyond what current infrastructure could support.
It goes without saying that this would require a blockchain of unprecedented speed and throughput. Frankly, a decade after Ethereum, the infrastructure just hasn’t been there to support it.
The Economics Don’t Work
The business model hasn’t always made sense either. Modern applications need massive scale to generate revenue that covers development costs. Furthermore, layer 2 solutions fragment users across platforms, where (for example) Arbitrum users can’t directly interact with Polygon applications. This defeats the purpose of building unified global computing.
This isn’t theoretical. OpenSea struggled with profitability despite dominating NFT trading with high-value transactions & fee-tolerant users. If you can’t profit from selling digital art to crypto enthusiasts paying hundreds in fees, how do you build a marketplace for used goods? The economics are even worse for lower-value transactions that define mainstream commerce. A decentralized social network charging $5 per post would be dead on arrival.
Gaming applications that require a few dollars in transaction fees for every item trade won’t attract players who expect the same for free elsewhere. So far, the only viable on-chain businesses have been those that can extract massive value from relatively few users – essentially high-stakes financial applications and speculative trading.
The Calvary Is Coming
The industry accepted a false tradeoff: security and decentralization, or functionality and scale, but not both. But transaction throughput has steadily increased (and will continue to) across networks as the technology matures. We can now achieve massive scale even with proof of work chains, maintaining the security and decentralization that made blockchain revolutionary in the first place (rather than the premature embrace of proof of stake that compromised these principles).
Zero-knowledge proofs allow users to prove transaction validity locally, submitting only small cryptographic proofs that are aggregated recursively and in parallel by a network of provers. Networks can process millions of transactions without every node verifying each one individually. When users prove their own transactions, the marginal cost of adding an additional transaction approaches zero, and blockchains can finally support the economics that mainstream applications require.
But ten years on, it’s clear that the vision once laid out by the futurists of Web3 has moved at a disappointing pace. Let’s hope the next decade moves a little faster – and, fingers crossed – our blockchains too.
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