IBM says they could use 250 petabytes of memory and the best supercomputer to match a 53-qubit Google quantum computer on a particular problem.
IBM paper says the 200 Petaflop Summit at Oak Ridge National Lab with its 250 petabytes of hard disk space—one could just barely store the entire quantum state vector of Google’s 53-qubit Sycamore chip in hard disks. They could then simulate the Google quantum chip solution in ~2.5 days, more-or-less just by updating the entire state vector by brute force, rather than the 10,000 years that Google had estimated on the basis of my and Lijie Chen’s “Schrödinger-Feynman algorithm” (which can get by with less memory).
If Google, or someone else, upgraded from 53 to 55 qubits, that would apparently already be enough to exceed Summit’s 250-petabyte storage capacity. At 60 qubits, you’d need 33 Summits. At 70 qubits, enough Summits to fill a city etc…
The three-minute quantum solution versus 2.5 days is still a quantum speedup by a factor of 1200. If we compare computation. We are comparing ~5 billion quantum gates against 200 million trillion FLOPs. This is a quantum speedup by a factor of ~40 billion.
SOURCES- Scott Aaronson, Google, IBM
Written By Brian Wang, Nextbigfuture.com
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