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Can Quantum Computing Break Encryption in 2026? Expert Analysis

Quantum computers can't break encryption in 2026, but the threat looms by 2030-2035. Here's what current capabilities show and how organizations are …

David Parkverified
David Park
Jun 192 min read
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Quantum computers cannot break modern encryption in 2026. Current quantum systems lack the processing power needed to threaten cryptographic standards, but experts project cryptographically relevant quantum computers (CRQCs) may emerge between 2030-2035, prompting urgent preparation for post-quantum cryptography.

What Is Quantum Computing’s Current Encryption-Breaking Capability?

Today’s most advanced quantum computers operate with approximately 1,000 qubits. Breaking RSA-2048 encryption—the standard for secure communications—requires an estimated 20 million qubits with error correction. IBM’s quantum roadmap targets 100,000 qubits by 2033, still far below the threshold needed. Google’s Willow chip announced in December 2024 demonstrates improved error correction but remains years from cryptographic relevance.

When Will Quantum Computers Threaten Current Encryption?

NIST estimates CRQCs capable of executing Shor’s algorithm against RSA and elliptic curve cryptography could arrive by 2030-2035. China’s recent claims of breaking RSA-2048 using quantum annealing were debunked by cryptographers, confirming no immediate threat exists. However, “harvest now, decrypt later” attacks are already occurring—adversaries collect encrypted data today to decrypt once quantum computers mature.

What Are Organizations Doing to Prepare?

NIST published post-quantum cryptography standards in August 2024, including CRYSTALS-Kyber and CRYSTALS-Dilithium algorithms. The U.S. government mandates federal agencies transition to quantum-resistant encryption by 2035. Major tech companies including Apple, Google, and Signal have begun implementing post-quantum protocols in their products.

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David Park
Written by David Park

David Park is DailyTech.dev's senior developer-tools writer with 8+ years of full-stack engineering experience. He covers the modern developer toolchain — VS Code, Cursor, GitHub Copilot, Vercel, Supabase — alongside the languages and frameworks shaping production code today. His expertise spans TypeScript, Python, Rust, AI-assisted coding workflows, CI/CD pipelines, and developer experience. Before joining DailyTech.dev, David shipped production applications for several startups and a Fortune-500 company. He personally tests every IDE, framework, and AI coding assistant before reviewing it, follows the GitHub trending feed daily, and reads release notes from the major language ecosystems. When not benchmarking the latest agentic coder or migrating a monorepo, David is contributing to open-source — first-hand using the tools he writes about for working developers.

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