
The Quantum Computing Problem Nobody Wants to Admit
Everyone's celebrating quantum computing progress. Nobody's talking about the actual bottleneck.
The biggest players in tech have spent the last five years announcing breakthrough after breakthrough in quantum computing: quantum supremacy, expanding qubit counts, entirely new qubit designs. But here's what almost never makes the headlines: it can take anywhere from 1,000 to 10,000 physical qubits just to create ONE reliable logical qubit. That error correction overhead, not qubit count, not temperature, is the real reason quantum computing still isn't close to solving real world problems.
In this video, I break down:
– Why physical qubits and logical qubits are completely different things
– The actual error correction overhead problem nobody explains clearly
– Why the industry's biggest players are betting on completely incompatible quantum architectures
– What one of the most contested claims in quantum computing actually means
– Why "breakthrough" announcements are often smaller than they sound
– What this means for quantum computing over the next decade+
00:00 – The $30 Billion Quantum Lie
00:31 – The Bottleneck Nobody Talks About
01:27 – Why Error Correction Eats Everything
02:26 – The Milestone Marketing Problem
03:12 – Billion Dollar Bets, No Winner Yet
04:11 – The Real Qubit Numbers
04:50 – Logical Qubits Explained
05:37 – Google vs IBM vs Microsoft's Bet
06:25 – The Fidelity Wall
07:35 – What Happens in the Next Decade
If you've ever wondered why quantum computers still aren't mainstream despite years of billion dollar investment, this is the video that actually explains why.
Do you think quantum computing ever goes mainstream, or does it stay infrastructure level forever? Let me know in the comments.
? Subscribe for more deep dives into the hardware and infrastructure powering AI, computing, and the tech industry.
#QuantumComputing #Qubits #TechExplained #ErrorCorrection #FutureTech #HardwareEngineering #AIInfrastructure #Microsoft #Google #IBM
The biggest players in tech have spent the last five years announcing breakthrough after breakthrough in quantum computing: quantum supremacy, expanding qubit counts, entirely new qubit designs. But here's what almost never makes the headlines: it can take anywhere from 1,000 to 10,000 physical qubits just to create ONE reliable logical qubit. That error correction overhead, not qubit count, not temperature, is the real reason quantum computing still isn't close to solving real world problems.
In this video, I break down:
– Why physical qubits and logical qubits are completely different things
– The actual error correction overhead problem nobody explains clearly
– Why the industry's biggest players are betting on completely incompatible quantum architectures
– What one of the most contested claims in quantum computing actually means
– Why "breakthrough" announcements are often smaller than they sound
– What this means for quantum computing over the next decade+
00:00 – The $30 Billion Quantum Lie
00:31 – The Bottleneck Nobody Talks About
01:27 – Why Error Correction Eats Everything
02:26 – The Milestone Marketing Problem
03:12 – Billion Dollar Bets, No Winner Yet
04:11 – The Real Qubit Numbers
04:50 – Logical Qubits Explained
05:37 – Google vs IBM vs Microsoft's Bet
06:25 – The Fidelity Wall
07:35 – What Happens in the Next Decade
If you've ever wondered why quantum computers still aren't mainstream despite years of billion dollar investment, this is the video that actually explains why.
Do you think quantum computing ever goes mainstream, or does it stay infrastructure level forever? Let me know in the comments.
? Subscribe for more deep dives into the hardware and infrastructure powering AI, computing, and the tech industry.
#QuantumComputing #Qubits #TechExplained #ErrorCorrection #FutureTech #HardwareEngineering #AIInfrastructure #Microsoft #Google #IBM
Tiff In Tech
Tiffany is a software developer who started her career in the modeling & fashion industry. Tech can be very overwhelming for many at first as she experienced first hand entering into the industry. Tiff saw a gap to help ease people into what tech has to ...