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SignalarXiv

TIDE Solves Real-Time Program Revision for Quantum Control Without Breaking Committed-Event Timing

FPGA-based quantum control processor TIDE separates committed pulse timing from a runtime-revisable instruction future, enabling measurement-responsive quantum experiments that previously required offline reprogramming cycles between shots.

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Quantum experiments that respond to measurement outcomes need a control processor that can change future operations while committed events continue on hardware-timed schedules. Before TIDE (Time-Deterministic and Instruction-Dynamic Execution), researchers had to choose: deterministic timing, or adaptive execution. TIDE is an FPGA processor that makes both first-class properties by separating the committed-event stream from the runtime-revisable future at the architectural level.

TIDE provides two update paths. DIPU (Dynamic Instruction Parameter Update) patches the parameters of the next matching event before they are captured by the timing engine. DISO (Dynamic Instruction Stream Overwrite) performs guarded replacement, logical deletion, and out-of-line insertion in future resident-program regions. Per-channel committed-event FIFOs isolate accepted descriptors from any subsequent control-core and update activity. The result is a processor where "what has been committed to timing" and "what can still be revised" are separate data structures, not a single program counter trying to serve both masters.

FPGA-based quantum control processors are the current standard for academic and early commercial quantum hardware. The binding constraint for adaptive experiments, particularly quantum error correction, has been the measurement feedback loop: the control system must read a syndrome measurement and modify future gates before the qubit decoheres. Teams that cannot close that loop run longer experiments with more overhead to compensate. TIDE closes it architecturally. The 18-24 month window before adaptive control becomes table stakes for credible quantum hardware demonstrations is the same window in which teams without this capability will be accumulating experimental overhead their competitors do not have.