Time-deterministic and instruction-dynamic execution: A field-programmable gate array quantum-control processor.

Long-running quantum computations, including error-corrected workloads, place joint demands on instruction availability, measurement-dependent control, and calibration updates. We present time-deterministic and instruction-dynamic execution, a field-programmable gate array (FPGA) quantum-control processor supporting runtime revision at both instruction and parameter levels. Dynamic Instruction Parameter Update (DIPU) supplies one-shot, next-match patches before parameter capture, while Dynamic Instruction Stream Overwrite (DISO) provides guarded replacement, logical deletion, and out-of-line insertion in eligible future regions of a resident program. A moving fetch-visibility guard coordinates instruction updates with execution, and event commitment isolates complete descriptors for independent hardware-timed dispatch. Revision applicability depends on update timing and execution progress; deterministic service applies to committed events under the stated scheduling conditions. The Xilinx ZCU102 implementation uses a 250-MHz control core and a 425-MHz timing/update domain. FPGA-resident measurements at the registered digital interfaces confirmed programmed-cycle dispatch for all tested descriptors committed at least one timing-domain cycle before their timestamps, with downstream ready and the stated first-in, first-out ordering conditions. Separate tests confirmed post-commit timestamp and payload invariance. The minimum all-success mapped DIPU margin was four control-domain cycles, and a replacement of L instruction words completed in L + 5 update-domain cycles under continuous payload delivery. Within the tested guard-distance range, rejected DISO requests reported an error and preserved the resident path, whereas all admitted revisions tested here executed complete revised sequences. These results provide a hardware execution basis for incorporating runtime-generated sequences and parameter corrections into precisely timed quantum computations with feedback.