Comment by ly3xqhl8g9

    -----s.-ms.-us.-ns|----------------------------------------------------------
                     0.1 ns - NOP
                     0.3 ns - XOR, ADD, SUB
                     0.5 ns - CPU L1 dCACHE reference           (1st introduced in late 80-ies )
                     0.9 ns - JMP SHORT
                     1   ns - speed-of-light
        ?~~~~~~~~~~~ 1   ns - MUL ( i**2 = MUL i, i )
                   3~4   ns - CPU L2  CACHE reference           (2020/Q1)
                     5   ns - CPU L1 iCACHE Branch mispredict
                     7   ns - CPU L2  CACHE reference
                    10   ns - DIV
                    19   ns - CPU L3  CACHE reference           (2020/Q1 considered slow on 28c Skylake)
                    71   ns - CPU cross-QPI/NUMA best  case on XEON E5-46*
                   100   ns - MUTEX lock/unlock
                   100   ns - own DDR MEMORY reference
                   135   ns - CPU cross-QPI/NUMA best  case on XEON E7-*
                   202   ns - CPU cross-QPI/NUMA worst case on XEON E7-*
                   325   ns - CPU cross-QPI/NUMA worst case on XEON E5-46*
        |Q>~~~~~ 5,000   ns - QPU on-chip QUBO ( quantum annealer minimiser 1 Qop )
                10,000   ns - Compress 1K bytes with a Zippy PROCESS
                20,000   ns - Send     2K bytes over 1 Gbps  NETWORK
               250,000   ns - Read   1 MB sequentially from  MEMORY
               500,000   ns - Round trip within a same DataCenter
        ?~~~ 2,500,000   ns - Read  10 MB sequentially from  MEMORY~~
            10,000,000   ns - DISK seek
            10,000,000   ns - Read   1 MB sequentially from  NETWORK
        ?~~ 25,000,000   ns - Read 100 MB sequentially from  MEMORY~~
            30,000,000   ns - Read 1 MB sequentially from a  DISK
           150,000,000   ns - Send a NETWORK packet CA -> Netherlands
        1s:   |   |   |
          .   |   | ns|
          .   | us|
          . ms|

(https://stackoverflow.com/a/33065382)

However,

    0.001 ns light transfer in Gemmatimonas phototrophica bacteriae

biology has much more performant/optimized machines, therefore, yes, plenty of room for improvement in silico.