What is Quantum Computing?

Quantum computing is a computational approach that could be used to dramatically increase processing power, with significant potential to enhance AI capabilities.

How does quantum computing work?

Quantum computing uses the laws of quantum mechanics to process information in ways that are fundamentally different from classical computing. Instead of bits that are strictly 0 or 1, quantum computers use quantum bits (qubits), which behave according to quantum phenomena.

1. Qubits and superposition

A classical bit can be either 0 or 1.
A qubit can exist in a superposition of states—effectively representing 0 and 1 at the same time until it is measured.

This means a quantum system can represent many possible combinations simultaneously, rather than evaluating them one by one as a classical computer does.


2. Entanglement creates shared states

Entanglement is a uniquely quantum property where the state of one qubit becomes linked to another, no matter how far apart they are.

  • Measuring one qubit instantly affects the other
  • Entangled qubits act as a coordinated system rather than independent units

Entanglement allows quantum computers to explore large solution spaces in a highly correlated way, which is key to their power.


3. Quantum gates manipulate probabilities

Quantum computations are performed using quantum gates, which manipulate qubits by adjusting probability amplitudes rather than flipping bits.

These gates:

  • Rotate qubits in complex state spaces
  • Interfere probabilities (constructively and destructively)
  • Amplify correct answers while suppressing incorrect ones

This process is known as quantum interference and is central to quantum speedups.


4. Measurement collapses the system

When qubits are measured:

  • Superposition collapses into a definite state (0 or 1)
  • The final output is probabilistic, not deterministic

Quantum algorithms are designed so that correct solutions have a high probability of appearing when measured.


5. Quantum advantage comes from specific problems

Quantum computers are not universally faster than classical ones. Their advantage appears in specific problem classes, such as:

  • Factoring large numbers (Shor’s algorithm)
  • Searching large spaces (Grover’s algorithm)
  • Simulating quantum systems (chemistry, materials)
  • Certain optimization and sampling problems

For most everyday computing tasks, classical computers remain more practical.


6. Current limitations

Practical quantum computing faces major challenges:

  • Decoherence (qubits lose quantum properties quickly)
  • High error rates
  • Extreme hardware requirements (near absolute zero temperatures)
  • Limited qubit counts

Most current systems are in the NISQ era (Noisy Intermediate-Scale Quantum), useful mainly for research and experimentation.


Why is quantum computing important?

Quantum computing matters because it introduces an entirely new computational paradigm.

  • It can solve certain problems that are effectively impossible for classical computers
  • It enables accurate simulation of molecular and physical systems
  • It pushes the boundaries of cryptography, optimization, and scientific discovery

Rather than incremental improvement, quantum computing represents a step change in what is computationally possible.


Why does quantum computing matter for companies?

For companies, quantum computing is a strategic, long-term opportunity rather than an immediate replacement for classical systems.

Key business implications:

1. Competitive advantage in complex domains
Industries like pharmaceuticals, finance, logistics, energy, and materials science may gain massive advantages from quantum-enabled optimization and simulation.

2. Breakthrough innovation
Quantum computing could dramatically accelerate R&D by modeling systems that are too complex for classical computers.

3. Enhanced AI and optimization
While quantum computing won’t directly “power AI assistants” in the near term, it could improve:

  • Model training efficiency
  • Optimization routines
  • Probabilistic sampling methods

4. Long-term strategic positioning
Companies investing early in quantum research build expertise, talent pipelines, and intellectual property ahead of widespread adoption.

5. Risk awareness
Quantum computing will eventually impact cryptography, requiring companies to prepare for post-quantum security.


In summary

Quantum computing works by:

  • Encoding information in qubits
  • Exploiting superposition, entanglement, and interference
  • Using probabilistic algorithms to amplify correct solutions

It is not a faster classical computer—but a fundamentally different machine designed for a specific class of hard problems.

For companies, quantum computing represents a future inflection point: not something to deploy immediately, but something to understand, monitor, and strategically prepare for as the technology matures.

Heavy-industry robotics company Kewazo raises $35 million with backing from Chevron and Asahi Kasei

Kewazo, the robotics firm remodeling heavy {industry} worldwide, has accomplished a brand new funding spherical backed by Chevron Expertise Ventures, Asahi Kasei, Benson Capital, Mana […]

Ottobot makes deliveries at remote mine village in Australia

Ottobot might be trialed by Sodexo Australia at Rio Tinto’s Gudai-Darri village in Australia. | Credit score: Ottonomy Residents and visitors at a distant mining […]

Using Copilot to predict business outcomes

The flip of the century marked a transition, going from submitting cupboards to databases. Whereas we frequently noticed this as a approach to be extra […]