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Quantum Computing Qubit NISQ Post-Quantum

A classical bit is always 0 or 1. A qubit exists in superposition until measurement; entanglement and interference let algorithms cancel wrong paths and amplify correct ones. This post is a reference guide to quantum computing—core concepts in one infographic, plus gates, algorithms, applications, and today’s limits.

Quantum computing key concepts — classical bit vs qubit, superposition, entanglement, interference, workflow, applications, NISQ limitations
Quantum computing key concepts at a glance

01 · Classical bit vs qubit

Classical bitQubit
State0 or 1 (definite)α|0⟩ + β|1⟩ (superposition, |α|²+|β|²=1)
NatureDeterministicProbabilistic — collapses on measurement
CopyingAllowedForbidden (no-cloning theorem)
Parallelismn bits → n valuesn qubits → 2ⁿ states at once

Classical bits map to transistor voltage levels and do not change when read. Qubits are built from superconductors, ion traps, photons, electron spin, and more; the same circuit can yield different outcomes across runs.


02 · Three pillars of quantum mechanics

Superposition

One qubit represents 0 and 1 at once. A Hadamard gate turns |0⟩ into (|0⟩+|1⟩)/√2; n qubits can encode 2ⁿ states in principle. Measurement collapses the wavefunction to one outcome with a given probability.

Entanglement

Two qubits share a single quantum state. In a Bell state such as (|00⟩+|11⟩)/√2, measuring one qubit instantly fixes the other—Einstein’s “spooky action at a distance,” confirmed by Bell tests. It does not allow faster-than-light messaging; only non-local correlation.

Try it: create entanglement, then measure particles 11,000 km apart (Seoul ↔ New York) and watch correlation converge to 100%.

Interference

Probability amplitudes add like waves, constructively or destructively. Algorithm design hinges on tuning phase so correct paths amplify and wrong paths cancel—what separates quantum from classical computation.


03 · How a quantum computer runs

  1. Initialize — Reset qubits to |0⟩. Superconducting devices often run near ~15 mK, colder than the cosmic microwave background.
  2. Apply gates — Build circuits with Hadamard (superposition), CNOT (entanglement), T/S/Z (phase), Toffoli (universal classical logic), and more.
  3. Control interference — Shape phases so desired outputs gain amplitude and others fade.
  4. Measure — Superposition collapses to 0 or 1. Algorithms are run many times to estimate outcome statistics.

04 · Key quantum gates

GateRole
H (Hadamard)|0⟩ → equal superposition
CNOTFlip target when control is |1⟩; core 2-qubit gate for entanglement
T · S · ZPhase rotations by π/4, π/2, π; fine interference control
Toffoli (CCNOT)Flip target when both controls are |1⟩; universal classical logic

05 · Major quantum algorithms

AlgorithmProblemSpeed / note
Shor (1994)Integer factorizationExponential → polynomial time; threatens RSA/ECC; drives post-quantum crypto (PQC)
Grover (1996)Unstructured searchO(N) → O(√N); quadratic speedup, many practical uses
VQEMolecular ground energyHybrid quantum–classical; NISQ-friendly; drug and materials science
QAOACombinatorial optimizationApproximate solutions to NP-hard problems; logistics, portfolios
HHL (2009)Linear system Ax=bConditional exponential speedup; QML and simulation; I/O overhead debated
Quantum teleportationState transferEntanglement + classical channel; QKD and quantum internet protocols
Shor vs practice: Shor could reduce factoring 2048-bit RSA from millennia to hours in theory, but only with large, error-corrected machines. The nearer risk is harvest-now-decrypt-later. NIST finalized post-quantum standards (e.g. CRYSTALS-Kyber) in 2024.

06 · Application areas

AreaFocus
CryptographyShor threatens public-key schemes · QKD for eavesdrop-proof channels · PQC migration
Drugs & materialsMolecular and protein-folding simulation; caffeine (C₈H₁₀N₄O₂) needs ~10⁴⁸ classical variables
Finance & optimizationPortfolios, risk, scheduling; PoCs at JPMorgan, Goldman Sachs, IBM Q Network
Quantum MLVQCs, quantum kernels, HHL-based regression; TensorFlow Quantum, PennyLane; still early

07 · The NISQ era and its limits

NISQ (Noisy Intermediate-Scale Quantum) describes today’s noisy, mid-size devices.

MetricStatus (~2025)
Physical qubits1,000+ (e.g. IBM Condor 1121q)
Fault-tolerant QC~10⁶ physical qubits per logical qubit (estimate)
Quantum supremacyGoogle Sycamore ~200 s vs ~10,000 years classical (disputed)

Main challenges

  • Decoherence — Environment destroys quantum state; coherence often tens to hundreds of μs.
  • High error rates — Two-qubit gates at 0.1–1%; practical work needs ≪0.001%.
  • Cryogenics & scale — Superconductors near ~15 mK; more qubits mean control, crosstalk, and connectivity pain.
PlayerNotes
IBMEagle(127q) → Condor(1121q); 100k-qubit roadmap by 2033; Qiskit
GoogleWillow(105q, 2024); scaling with falling error rates
IonQIon trap, high fidelity
KoreaETRI, national quantum-internet roadmap; Samsung, SK hynix on quantum memory
Quantum computers are not general replacements for classical machines—they are **accelerators for specific problem classes**. Today, hybrid NISQ algorithms (VQE, QAOA) and preparing for a quantum era (PQC) are closer to real engineering work than running Shor at scale.