Customized Analog IP has huge design and verification NRE costs. You don't crowd source something you only make once

Particles are not fundamental anymore. Fields are.

This is one of the most widespread misconceptions about quantum mechanics. The energy-time uncertainty is NOT related to the uncertainty principle. Time is not an operator. The energy-time uncertainty does not hold on relativistic QM which is required to describe interaction with force carriers

Superconductor or ions qubits are a waste of time&resources. They don't scale to the number needed for a useful QC

Typical clickbait nonsense. Random but flips in memories are easily addressed via error correction codes and hardware integrity via built in scan tests

Same old story, talking is orders magnitude easier than doing. Sadly we still have people yearning for more "entrepreneurs" i.e. charlatans.

As usual clickbait sinopsis sweeping under the carpet the huge issue that not a single error corrected (or logical) qubit has been demonstrated

The big difference between the quantum supremacy experiment and your pudding experiment is that the quantum supremacy experiment solved an unambiguous, well-posed mathematical problem. While people sometimes describe the computational task as âoesimulating the physical Sycamore computerâ, thatâ(TM)s not right. The actual task was calculating the output of an abstract quantum logical circuit, of which the Sycamore computer was an approximate physical instantiation. The difference is subtle but crucial. From a computational perspective, the math came first and the physics came second. Source: https://physics.stackexchange....

Total nonsense, similar to fusion there is currently no road to scalability in the QC world. Without a demonstration of error correction all news about more qubits are just hot air

Quantum computing will always happen in the cloud (unless you can cool down your phone to -270C), hence 5G is saved?

Not really. Parasitics and self heating are the real concerns

Process name do not correspond to physical dimensions. They are a metric of (digital) performance enhancement with respect to the previous generation. The minimum draw dimension is substantially larger than 2nm

From the original article: "King stressed that it is still possible to design highly specialized algorithms to simulate the model once the properties of the model are already known." Clear example of we fined tuned our machine to a problem and it does it faster than a general purpose computer. Nothing quantum happening here