Quantum computing vs Classical supercomputer

1.

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Ruslanov Ramazan
Quantum computing vs
Classical supercomputer
What is better?
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Description
Comparative Analysis of
Quantum Computing and
Classical Supercomputers
To compare their functionality, user experience, strengths, weaknesses, and
sustainability impact.
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3.

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Quantum Computing
01
Uses qubits instead of bits
02
Based on superposition and
entanglement
03
Can process many possibilities
simultaneously

4.

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Classical
Supercomputers
01
Use traditional binary bits (0 and 1)
02
Perform calculations
sequentially but extremely fast
03
Built from thousands of
CPUs/GPUs

5.

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Applications
Quantum Computing
• Cryptography
• Drug discovery
• Optimization problems
• Climate modeling (future potential)
Supercomputers
• Weather forecasting
• AI training
• Space research
• Nuclear simulations

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Strengths & Weaknesses
01
Quantum Computing
✔ Exponential speed for specific problems
✔ Breakthrough potential
✖ Extremely expensive
✖ Very unstable (decoherence problem)
02
Supercomputers
✔ Stable and reliable
✔ Already widely used
✖ Very high energy consumption
✖ Limited by classical computation rules
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7.

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User
Experience
Quantum
• Mainly used by researchers
• Requires specialized programming (Qiskit, Cirq)
• Not accessible to general users
Supercomputers
• Used by governments and large institutions
• Remote access possible
• More mature ecosystem
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8.

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Sustainability Impact
Environmental Impact
• Supercomputers consume massive electricity
• Quantum computers may reduce energy use for
specific tasks in the future
Social Impact
• Quantum could disrupt cybersecurity
• Supercomputers support medical and climate
research

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Conclusion
Classical supercomputers are currently more practical and widely used.
However, quantum computing has revolutionary potential and may
transform industries in the future.
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10.

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THANK YOU
Thank you for your attention!
REFERENCES
AbuGhanem M. IBM quantum computers: evolution, performance, and future directions: M.
AbuGhanem //The Journal of Supercomputing. – 2025. – Т. 81. – №. 5. – С. 687.
Munoz-Bauza H., Lidar D. Scaling advantage in approximate optimization with quantum
annealing //Physical Review Letters. – 2025. – Т. 134. – №. 16. – С. 160601.
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