
A qubit, or quantum bit, is the fundamental unit of information in quantum computing. Similar to a classical bit in traditional computers, a qubit can represent 0 or 1. However, unlike classical bits, a qubit can exist in a superposition of both 0 and 1 simultaneously, and it can be tightly correlated—entangled—with other qubits.
Intuitively, you can think of a qubit as a rapidly spinning coin: before you look at it, it’s neither strictly heads nor tails, but a blend of both; only when you observe it does it settle on a definite outcome. This property allows quantum computers to explore multiple possibilities in parallel, enabling certain computations to be performed more efficiently.
Qubits use “superposition” to encode information. Superposition refers to the ability of a qubit to exist in multiple possible states at once until it is measured, at which point it collapses to a definite result. This contrasts with classical bits, which are always fixed as either 0 or 1.
Measurement in quantum computing means reducing all possible outcomes to one specific result. By strategically arranging the sequence and method of superpositions and measurements during computation, quantum computers can filter out clues to the answer without having to check every possibility one by one. This capability is a key source of quantum speedup.
There are three main distinctions:
Superposition: Qubits can maintain multiple possible values at the same time during computation, whereas classical bits are always a definite 0 or 1 at any moment.
Entanglement: Entanglement is a phenomenon where qubits become interlinked such that measuring one instantly affects the state of the other. This unique correlation enables rapid transmission of structural information within quantum algorithms.
Measurement and Copying: Quantum information cannot be perfectly copied (a principle known as the “no-cloning theorem”), and measuring a qubit changes its state. This is fundamentally different from traditional data, which can be freely read and duplicated.
Quantum gates are operational instructions applied to qubits, similar to logic gates in classical computing, but designed to manipulate superposition and entanglement.
Common examples include:
A typical sequence might involve using a Hadamard gate to create superposition, followed by a CNOT gate to entangle two qubits. This combination amplifies the “signal” of correct answers in problems involving search or structural analysis.
Algorithms powered by qubits have the potential to disrupt widely used cryptographic systems.
Shor’s algorithm enables quantum computers to efficiently find large number factors or solve discrete logarithms—problems that underpin many public-key cryptosystems such as RSA and elliptic curve signatures. If sufficiently powerful quantum computers are built, these algorithms could theoretically compromise the security of today’s encryption.
Grover’s algorithm accelerates brute-force search attacks on symmetric key systems (like AES), though it doesn’t break them outright. To mitigate this risk, key lengths are often doubled (e.g., from 128 bits to 256 bits) to compensate for Grover’s quadratic speedup.
Blockchains commonly use signature schemes like ECDSA and EdDSA, which rely on the difficulty of solving elliptic curve problems. If large-scale quantum computers capable of running Shor’s algorithm become feasible, public key exposure could allow private keys to be derived, threatening asset security.
For Bitcoin, unspent addresses typically reveal only their hash—not the public key itself—until they are spent. Therefore, minimizing address reuse and promptly migrating funds to new addresses after confirmation reduces exposure risk. On smart contract platforms, public keys are exposed more frequently due to contract calls, so protocol and wallet providers must plan for upgrades sooner.
If you hold assets on Gate, stay informed about account security and wallet upgrade notifications. Quantum risks are long-term for now, but as the ecosystem begins migrating signature schemes, old addresses and wallets may need conversion. Proactive risk assessment helps prevent losses during migration periods.
Risk disclaimer: Today’s quantum computers remain unstable with high error rates, making large-scale cryptographic attacks impractical in the short term. However, migrating security systems is complex and time-consuming, so preparing in advance is prudent.
Post-quantum cryptography refers to encryption schemes designed to resist known quantum attacks. These algorithms don’t rely on factoring or discrete logarithms but are instead based on lattice problems, error-correcting codes, or hash structures.
As of 2024, NIST has selected CRYSTALS-Kyber for key exchange (KEM) and CRYSTALS-Dilithium for digital signatures and is advancing their standardization (source: NIST PQC project, 2022-2024). Practical steps for Web3 ecosystems include:
As of late 2024, quantum hardware still struggles with high error rates and substantial overhead for error correction. Both academia and industry agree that practical machines capable of running large-scale Shor’s algorithm—sufficient to break modern public-key cryptography—are years away. Progress depends on device quality, error correction strategies, and engineering scale.
Meanwhile, post-quantum cryptography standardization is moving forward, with governments and enterprises evaluating migration paths. For Web3, on-chain protocols and wallet upgrades take time; it’s recommended to pilot compatible solutions promptly once standards mature to avoid sudden future risks.
First, assess your exposure: Check if you reuse addresses, frequently expose public keys in public settings, or use outdated wallet libraries.
Second, monitor standards and ecosystem upgrades: Stay updated on NIST post-quantum cryptography progress and watch for support plans from major clients and wallets—especially Gate’s security announcements and migration guides.
Third, adopt robust practices: Minimize address reuse; prioritize multi-signature wallets and time-lock mechanisms to increase attack costs; enable stronger TLS configurations for off-chain communications and monitor post-quantum options.
Fourth, allow time for migration: Prepare verifiable migration paths and contingency plans for your keys and assets; test small transfers first and scale up gradually to avoid operational risk from large one-off moves.
Qubits allow computation to efficiently explore structured information via superposition and entanglement, posing potential impacts on cryptography and blockchain signatures. While practical quantum computers capable of breaking encryption remain distant, post-quantum cryptography standards are advancing. The Web3 ecosystem should proactively plan hybrid and migration strategies at protocol, wallet, and communication layers; users should reduce address reuse, stay informed through exchange security announcements, conduct small-scale practice migrations, and gradually complete their upgrade preparations. This approach avoids panic while ensuring readiness when the technological inflection point arrives.
Classical bits can only be 0 or 1 at any moment. A qubit can be both 0 and 1 simultaneously—a property known as superposition. This enables quantum computers to process many possibilities at once, resulting in exponential computational power. For example: 100 classical bits represent just one state at a time; 100 qubits can represent around 2^100 states simultaneously—this is the root of quantum computing’s potential.
Your crypto wallet protects private keys using RSA or ECDSA algorithms that would take classical computers thousands of years to crack. Quantum computers running Shor’s algorithm could potentially break these protections in hours—directly threatening your asset security. While this risk is not immediate, monitoring developments in post-quantum cryptography now is essential for long-term protection.
Not yet. Current quantum hardware is still primitive—Google’s chip has only a few hundred qubits, while breaking cryptography would require millions of stable qubits. Industry estimates suggest this will take at least another 10–15 years. Your assets are safe for now, but the blockchain ecosystem should upgrade cryptographic algorithms during this window to prepare for future threats.
In the short term, use multi-signature wallets and cold storage for extra protection. In the medium term, watch for platforms like Gate to offer wallets supporting post-quantum cryptography. Long-term, consider blockchain projects deploying quantum-resistant algorithms such as Dilithium. Stay informed about ongoing advances in quantum security across the industry.
Qubits are the basic units powering quantum computing—and represent an emerging threat to existing cryptography; post-quantum cryptography consists of new algorithms specifically designed to withstand this threat. In simple terms: qubits create the problem; post-quantum cryptography provides the solution. The Web3 community is actively working to integrate post-quantum security into blockchains in preparation for the quantum era.


