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Beyond Classical: Understanding Quantum Computing

A Guide to Quantum Computing and How It Differs from Classical Computing

For decades, classical computers have been the foundation of technological advancement, relying on binary bits (0 or 1) to process data. While this logic powers modern supercomputing, specific high-complexity problems remain computationally prohibitive.

Pasqal is a quantum computing company developing neutral-atom quantum processors designed to scale toward industrial applications. The company focuses on integrating quantum computing into HPC and cloud environments to support emerging use cases in optimization, simulation, and targeted AI-related workloads. By leveraging the principles of quantum mechanics, we are engineering systems to process information differently, mapping solutions for complex networks, advanced materials, and energy grids.

The Physics of Computation

The qubit

Classical bits exist in binary states: 0 or 1. A quantum bit, or qubit, introduces properties derived from quantum physics—superposition and entanglement—enabling multidimensional data processing.

If a classical bit was a door, it would be either completely open or completely closed. It cannot be partially open.

A quantum bit, or qubit, the quantum version of the bit, introduces fascinating properties that go beyond classical physics: superposition and entanglement.

Superposition

Qubits can exist in a linear combination of states. This allows quantum processors to evaluate a vast spectrum of possibilities simultaneously. Upon measurement, the qubit resolves to a definitive state, providing the computational output.

If a qubit was a door, it would exist in a state between opened and closed. It’s not simply halfway – it’s in both states simultaneously until you look at it!

However, measuring a qubit forces it to “collapse” from a superposition of states to either 0 or 1, giving us a specific result. Understanding measurement and collapse in quantum computing is crucial for designing effective quantum algorithms and error correction techniques.

Entanglement

Entanglement links qubits so that the state of one is fundamentally correlated to the state of another. This allows quantum systems to model highly correlated, complex variables—such as molecular interactions or financial risk portfolios—more natively than classical architectures.

Imagine two quantum doors linked invisibly. Observing one instantly determines the state of the other, regardless of distance. If one is opened, the other is closed.

Measuring one entangled qubit instantly reveals information about its partners, demonstrating non-local correlations that challenge classical intuitions about information and causality.

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Industrial Impact

Pasqal’s analog and digital architecture is designed to harness these properties to augment classical HPC.

Broad Parameter Exploration

Evaluate multiple systemic variables simultaneously via superposition.

Complex Correlation Modeling:

Map intricate network relationships utilizing qubit entanglement.

Targeted Acceleration:

Engineered to pursue computational advantage over classical systems in specific, high-value simulation and optimization workloads.

Our Technology

Neutral Atom: the Future of Scalable Quantum Computing

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