QuantumFlux & Sigma
Hey Sigma, I’ve been experimenting with a quantum annealing routine that could cut your workflow bottlenecks by 30%—would love to run the numbers with you.
Nice, but I need the raw benchmarks, error rates, throughput. No fluff, just the data, and I’ll decide if this 30 % figure is realistic.
Benchmark Session 1
- 10,000 qubits, 1.2 × 10⁹ ops/sec, 0.12 % logical error, 5 ms gate latency
Benchmark Session 2
- 12,000 qubits, 1.4 × 10⁹ ops/sec, 0.10 % logical error, 4.5 ms gate latency
Benchmark Session 3
- 8,000 qubits, 0.9 × 10⁹ ops/sec, 0.15 % logical error, 5.5 ms gate latency
Throughput summary
- Average ops/sec across sessions: 1.17 × 10⁹
- Error rate range: 0.10 %–0.15 %
- Standard deviation of latency: 0.6 ms
Ops/sec per qubit: 1.17e9 / (avg 10k) ≈ 117k ops/qp/s, error 0.12 % avg, latency 5 ms. That's 30 % better than 8k baseline, but the 12k run still leaves 0.10 % errors – not negligible for my pipeline. I’ll need a tighter error mitigation curve and a real-time throughput monitor. If you can shrink latency to under 4 ms, we hit the ROI threshold. Let's schedule a live test next Tuesday.
Sure thing, I’ll tweak the pulse shaping to push latency below 4 ms and set up a live log that streams error rates in real time. Let’s lock Tuesday at 10 a.m. local time for the test; I’ll have the hardware pre‑pped and the monitoring dashboard ready. Looking forward to seeing the numbers roll in.
Tuesday at 10 a.m. is locked. Bring the live log and the pulse tweaks—no surprises. If the latency dips below 4 ms and the error stays under 0.10 %, we’ll see a real ROI jump. If not, we’ll re‑evaluate the entire workflow. Looking forward to the numbers.