Why Haven't We Achieved Practical Quantum Computers Yet? 🔍
Discover the scientific challenges behind the delay in developing useful quantum computers and how researchers are tackling these fundamental physics hurdles.

Today I Learned Science
58.8K views • Aug 29, 2025

About this video
Why don’t we have practical quantum computers yet?
The answer lies in fundamental physics limitations that researchers are working to overcome.
The Core Challenge: Quantum decoherence
Qubits (quantum bits) are extraordinarily sensitive to environmental interference. Even microscopic vibrations can destroy quantum superposition in milliseconds, making calculations unreliable.
By the Numbers:
• Classical computers: ~1 error per 10^17 operations
• Current quantum computers: ~1 error per 1,000 operations
• Current scale: IBM (~1,000 qubits), Google (~105 qubits)
• Target for practical applications: 100,000+ error-corrected qubits
The Scaling Paradox: More qubits = more power, but also exponentially more error sources and infrastructure requirements.
Recent Developments: Microsoft’s topological approach with their Majorana platform represents a potential breakthrough in qubit stability—we investigated their claims in our latest deep-dive.
Full analysis with Professor Chetan Nayak on our channel now!
#quantumcomputing #quantumphysics #physics #ibm #google #microsoft #majorana #majorana1 #sciencenews #sciencefacts #science #quantum #qubits #computer #computing
The answer lies in fundamental physics limitations that researchers are working to overcome.
The Core Challenge: Quantum decoherence
Qubits (quantum bits) are extraordinarily sensitive to environmental interference. Even microscopic vibrations can destroy quantum superposition in milliseconds, making calculations unreliable.
By the Numbers:
• Classical computers: ~1 error per 10^17 operations
• Current quantum computers: ~1 error per 1,000 operations
• Current scale: IBM (~1,000 qubits), Google (~105 qubits)
• Target for practical applications: 100,000+ error-corrected qubits
The Scaling Paradox: More qubits = more power, but also exponentially more error sources and infrastructure requirements.
Recent Developments: Microsoft’s topological approach with their Majorana platform represents a potential breakthrough in qubit stability—we investigated their claims in our latest deep-dive.
Full analysis with Professor Chetan Nayak on our channel now!
#quantumcomputing #quantumphysics #physics #ibm #google #microsoft #majorana #majorana1 #sciencenews #sciencefacts #science #quantum #qubits #computer #computing
Video Information
Views
58.8K
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Duration
2:18
Published
Aug 29, 2025
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