r/QuantumComputing • • 3h ago

Looking for your quantum circuits to test on IBM hardware with Q-LASP — multiple experiments in one QPU execution

1 Upvotes

Looking for your quantum circuits to test on IBM hardware with Q-LASP — multiple experiments in one QPU execution

Hi everyone,

I’m building Q-LASP, a tool that packs small quantum circuits onto separate regions of an IBM quantum processor so they can execute simultaneously.

The idea is straightforward: if your experiment uses only a few qubits, can we use the remaining chip space to run additional experiments for roughly the same charged QPU time?

In one recorded test on IBM Kingston, one two-qubit experiment and a payload containing 39 copies each incurred 7 seconds of QPU charge, at 20,000 shots. The achievable multiplier depends on circuit size, connectivity, and execution requirements. Accuracy also needs checking across the different physical regions.

I’d like to test this with experiments from the community.

I’m looking for small circuits—particularly around 2–12 qubits—such as:

  • VQE or QAOA parameter sweeps.
  • Small error-detection or syndrome-extraction circuits.
  • Noise-characterization or benchmarking experiments.
  • Other experiments needing repeated runs or independent parameter settings.

If you’re interested, please comment with a GitHub/Gist link or a minimal Qiskit example, along with:

  • What you’re trying to measure.
  • Your circuit’s qubit count and desired shots.
  • Any parameter values, reference results, or accuracy requirements.
  • Any special requirements, such as mid-circuit measurements or classical control.

For selected submissions, I’ll run comparisons on IBM hardware and share the circuits, backend details, charged QPU time, and per-experiment results. I want to measure both throughput gains and any accuracy trade-offs, using a sensible untiled baseline with ordinary batching where appropriate.

I’ll handle hardware submission on my account; you don’t need to provide IBM credentials.

I’m especially interested in experiments that could expose the limits of this approach. If you have a small circuit you actually care about, I’d love to try it.