Quantum

Resolve problems that cannot be efficiently calculated with existing supercomputers to quickly solve problems in areas where answers were difficult to find

Quantum Computer

Quantum technology, following artificial intelligence,
will be the game changer of future industries

A quantum computer is a computer processing device proposed to use the characteristics of quantum mechanics to solve computational problems in areas that are impossible or difficult to process with classical computers.
The quantum mechanical principles that form the basis of quantum computers are quantum superposition, observational collapse, and quantum entanglement.

Quantum Computer

Quantum Superposition

In classical information devices, information is expressed as 0 or 1, and the quantum state can express information in the form of a simultaneous linear combination of 0 and 1. This feature is also expressed as 'quantum parallelism'.

Observation Collapse

Observation causes irreversible changes in the quantum state, preventing the original quantum state from being restored after measurement and making replication impossible. This ensures information security by perfectly preventing external measurement, making it widely applicable in the field of quantum cryptography.

Quantum Entanglement

In the phenomenon where if one state is determined in two or more quantum states, the other dependent states are determined accordingly, interference occurs between spatially separated information in the process of information processing and communication.

Principles of Quantum Computers

Classical Computer

Classical Computer

Recognizes either 0 or 1 as a unit of information called a bit for computation. With 2 bits, it processes only one piece of information among 00, 01, 10, or 11.

Quantum Computer

Quantum Computer

Performs operations using bits (qubits) of quantum states where 0 and 1 exist simultaneously. With 2 qubits, the 4 pieces of information 00, 01, 10, 11 exist simultaneously. Problems that take hundreds of millions of years to solve with supercomputers can be calculated in just a few hours.

Changes in Quantum Technology

  • 2035

    Quantum Computer

  • 2030

    Quantum Cryptography Communication

  • 2025

    Quantum Sensors

Conventional Technology

  • 1,024-bit encryption decryption in 1 million years
    Power consumption 30MW

  • International wiretapping occurs through undersea fiber optic cables,
    Hacking of wireless communications like NFC, satellite communication is possible

  • Identification of cancer cells smaller than 5mm with MRI
    Detection within about 100m with LiDAR, cannot penetrate

Quantum Era Technological Changes

  • Ultra-fast computation

    1,024-bit encryption decryption in 10 hours
    Power consumption 0.05MW (1/600)

  • Ultra-reliable security

    With a quantum encryption key method that gets destroyed upon wiretapping,
    Completely prevents illegal wiretapping and hacking

  • Ultra-precise measurement

    Identification of cancer cells smaller than 0.05mm with Quantum MRI
    Detection over 45km with Quantum Imaging Sensors

Applications of Quantum Technology

Finance

Finance

  • Investment Portfolio Optimization
  • Risk Management
  • Options and pricing
Chemistry

Chemistry

  • Molecular design optimization
  • Quantum Mechanics of Chemical Reactions
  • Simulation
  • Optimization of cells and catalysts
Medical treatment

Medical treatment

  • Drug discovery/optimal dosage calculation for cancer treatment
  • Speeding up personalized medicine
IT

IT

  • Fast clustering for machine learning
  • Fast learning of image recognition
distribution

distribution

  • Optimization of logistics for airplanes, ships, trucks, etc.
  • Real-time traffic analysis and guidance
Pharmaceuticals

Pharmaceuticals

  • 3D structure of proteins
  • Optimization/analysis simulation (development of special drugs for Alzheimer's disease, etc.)
  • New drug/catalyst development
  • Cancer prevention through genetic analysis
Automobile

Automobile

  • Electric Car Battery Design
  • Automobile Design Engineering
  • Optimization of Urban Transportation Services
Aerospace

Aerospace

  • Hydrodynamically optimized airframe design
  • Aviation Rowing Simulation
  • Bug-catching optimization of the flight control system
Energy

Energy

  • Optimization of power transmission grid and energy distribution
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