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Beyond two transmons, and what to do before hardwareยถ

Who offers pulse-level access todayยถ

Pulse-level access to commercial quantum computers has narrowed: IBM removed pulse-level control from all its processors in February 2025, and a 2026 survey of thirteen vendor stacks describes public access to pulse and control-electronics interfaces as "bifurcated" [malarchick2026]. What remains through Amazon Braket (checked 24 September 2026):

Device Technology Control exposed Relevance
QuEra Aquila Neutral atoms, Rydberg Analog Hamiltonian simulation: global amplitude, phase and detuning of the drive over time, up to 256 atoms The most open analog control available; natural home for RL-shaped global pulses
Rigetti Ankaa-3 Superconducting, tunable couplers Braket Pulse (OpenPulse frames, ports, arbitrary waveforms) Same device family as our model. The documentation's example port uses 1 ns samples; at 1 ns the paper's RL pulse loses its gate (J_T 0.29, home page), so pulses must be trained under the device's sampling
IonQ, AQT, IQM Trapped ions, superconducting Gate-based No pulse access through Braket

Candidate platformsยถ

Platform Why it fits What it would take
Tunable-coupler transmons (v3) Continuity with the paper; pulse access on Rigetti Ankaa-3; current records use tunable couplers [sung2021] Realistic coupler model (flux map, no RWA, direct coupling), 1 ns sampling, named-gate reward
Rydberg atoms Open pulse-level hardware (Aquila); two-qubit gates at 99.5 % designed by optimal control [evered2023], with time-optimal pulses known [jandura2022]; drift dimension grows with the atom count (per-atom position, laser intensity and detuning inhomogeneity), which is exactly the scaling H1 needs A JAX Rydberg-blockade environment (global drive, N atoms, blockade), drift over atom positions and laser parameters
Trapped ions Robust entangling gates by pulse shaping are mature [leung2018]; slow drift of motional modes is a natural drift variable Mรธlmer-Sรธrensen model with motional modes; no open pulse access on public clouds, so hardware would need a lab partner

Recommendationยถ

Go bigger, in two tracks, and keep the transmon line:

  1. Rydberg atoms next. Hardware you can actually submit pulses to today, a control problem (global drive) where RL has a structural advantage (one pulse must serve many atoms with different local parameters), and a drift dimension that grows with system size, which is the direct test of the hypothesis. It also connects to the DeepScar idea of controlling many-body dynamics in Rydberg arrays.
  2. Transmons, hardware-shaped. The v3 model, constrained to what Rigetti Ankaa-3 exposes (sampling, bandwidth, amplitude), so that pulses are submittable when access comes.
  3. Ions later, with a lab collaborator.

What to do until there is hardwareยถ

  1. Simulate the hardware contract, not just the physics. Train and refine only pulses the target device would accept: its sampling interval, amplitude and bandwidth limits, pulse-length quantisation, and for Aquila the waveform constraints stated in its device properties. A pulse that cannot be submitted is not a result.
  2. Count shots, not simulator samples. Replace exact J_T by estimates from finite measurements with state-preparation and measurement errors, and redo the cost comparison in shots (test T4). This is where the hypothesis says RL should gain, and it costs nothing but compute.
  3. Drift as a time series. Replace static drift boxes with drift trajectories (random walks and jumps calibrated to the measured magnitudes on Hardware drift ranges) and measure fidelity-hours: how long each pipeline keeps a device above target per unit of calibration effort. This is the operational metric a hardware group cares about.
  4. Dress rehearsal on vendor simulators. Braket's local analog simulator runs the same program format as Aquila, so the full pipeline (policy โ†’ program โ†’ results โ†’ refinement) can be tested end to end before the first paid shot.
  5. Publish a benchmark. Package the JAX environments (transmon, and Rydberg next) with the drift models and baselines as an open benchmark for drifting-device quantum control. It makes the work reusable and is a concrete reason for groups with hardware to get in touch.
  6. Keep the first hardware experiment small. A few-atom Rydberg experiment on Aquila (a blockade gate or a global-pulse state preparation, refined across two sessions) is a feasible first test of "trained in simulation, refined on the device".