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It is good that they kept the classical crypto along. However, the general tendency towards quantum-resistant cryptography leaves me puzzled. From my perspective as a physics PhD graduate, I firmly believe that a quantum computer capable of breaking public key crypto will never be built. This is because as you add more qubits, there's increased interference between them due to the additional connections required. It's similar to how FM radio works: there's a main frequency and several sidebands. When you adjust the tuner to pick up a station, you're essentially "interacting" with the corresponding station. But if there are too many stations, you may no longer be able to hear the music, and as a result, there would be only a static noise present. This leads me to a somewhat cynical conspiracy. Imagine the moment when a curios government agency realises that building a quantum computer for this purpose is a futile endeavor. Instead of admitting this, they could perpetuate the idea that its construction is just around the corner. Then, act as a wolf in sheep’s skin and introduce everyone to quantum-resistant solutions, which are unfortunate to have secret hidden backdoors by having done more advanced research on them. Has anyone thought about this? |
Both classical and quantum computers (1) can not "scale" without error correction because of analog noise (although it is less crucial on the classical side), but (2) can be build with error correction codes integrated in them to overcome that noise.
Also, you do not need all-to-all connectivity between your qubits (or bits) to build a scalable quantum (or classical) computer.
Edit: To add to your FM radio metaphor: you can have way more FM radio channels if each channel is on a separate coax cable (or in physics speak, if you multiplex not only by frequency but by spacial mode). No need to have all your qubits be controlled by the same optical or microwave mode, you can have physically separate control lines for each qubit and then eliminating cross-talk is as simple as inverting an n-by-n matrix.