US 12,411,621 B2
Intelligent classical/quantum extended memory fabric
Kenneth Durazzo, Morgan Hill, CA (US); Stephen J. Todd, North Andover, MA (US); Michael Robillard, Shrewsbury, MA (US); Victor Fong, Melrose, MA (US); Brendan Burns Healy, Whitefish Bay, WI (US); and Eric Bruno, Shirley, NY (US)
Assigned to Dell Products L.P., Round Rock, TX (US)
Filed by Dell Products L.P., Round Rock, TX (US)
Filed on Jul. 7, 2022, as Appl. No. 17/811,242.
Prior Publication US 2024/0012570 A1, Jan. 11, 2024
Int. Cl. G06F 9/50 (2006.01); G06F 3/06 (2006.01); G06N 10/60 (2022.01)
CPC G06F 3/0629 (2013.01) [G06F 3/0604 (2013.01); G06F 3/068 (2013.01); G06N 10/60 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving a hybrid classical/quantum algorithm;
determining a runtime characteristic of the hybrid classical/quantum algorithm;
based on the runtime characteristic, checking a memory availability for execution of the hybrid classical/quantum algorithm;
when adequate memory is not available to support execution of the hybrid/classical hybrid classical/quantum algorithm, modifying a classical/quantum memory fabric to provide enough memory to support execution of the hybrid classical/quantum algorithm; and
orchestrating the hybrid classical/quantum algorithm to an execution environment that includes the classical/quantum memory fabric.