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2 months ago in Quantum Computing By Babita

What are the key limitations of classical computing that quantum computing addresses?

We're trying to map the real-world boundary between classical and quantum computing. In my lab, we keep hitting walls with optimization and molecular simulation problems. I need to articulate, beyond the hype, which specific intrinsic limitations of transistor-based logic are the primary drivers for investing in quantum research. This is for a grant justification focused on computational chemistry.

MachineLearning QuantumComputing

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By Natasha Answered 1 month ago

I have seen the limitations of classical computing firsthand, particularly in two areas. The first is simulation: modeling complex quantum systems like novel molecules for drug discovery is exponentially hard for classical machines, as they must simulate probabilities where a quantum computer naturally is the system being modeled. The second is combinatorial optimization, like logistics or material science problems, where the search space explodes. Classical algorithms get bogged down in local minima. Quantum algorithms, through superposition and interference, can explore these vast spaces in parallel, offering a fundamentally different pathway to solutions for problems we currently consider intractable at scale.

Replied 1 month ago

By Babita

Thanks! That really helps

By Urvi B Answered 1 month ago

To add, classical computers are limited because they store information in bits—0 or 1—so they can’t naturally process superpositions or entanglement. Quantum computers, using qubits, can explore many possibilities simultaneously. This ability allows them to tackle certain problems exponentially faster than classical machines, like Shor’s algorithm for factoring or quantum simulations of molecules.

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What are the key limitations of classical computing that quantum computing addresses?

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