Quantum
The Quantum Sphere: A Physically Realizable Optimization Benchmark with Provable Linear Convergence in White- and Black-Box Settings
Publication: quant-ph updates on arXiv.org
Author: Ofer M. Shir
Source published: 06/10/2026, 04:00:00 UTC
Briefing created: 06/10/2026, 04:38:53 UTC
Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 06/10/2026, 04:13:24 UTC.
Briefings
The Quantum Sphere benchmark, defined by the fourth power of the control field, is proven to exhibit linear convergence in both white-box and black-box settings. Theoretical analysis establishes an exact nonnegative linear combination of sin² terms, yielding a quadratic sandwich with a ratio of 4/π² on a quarter-wave region. White-box optimization achieves a linear rate of 1 - 16/(π⁴κᵣ) via Polyak-Löjtasiewicz inequality, while black-box Evolution Strategy converges linearly in expected hitting time from a certified sublevel set. Numerical simulations confirm these theoretical predictions.
Key points
- The Quantum Sphere benchmark is defined by the fourth power of the control field, guaranteeing a trap-free topology that ensures unhindered optimal pathways.
- The objective function admits an exact representation as a nonnegative linear combination of sin² terms, enabling a two-sided quadratic sandwich with ratio 4/π² on a certified quarter-wave region.
Context and limitations
The study covers only white-box and black-box optimization scenarios within a halved (eighth-wave) region. Additive input noise is analyzed but not tested, and far-field plateau escape remains an open challenge.
Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 06/10/2026, 04:38:53 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.
View archived briefing on IPFS
bafybeiaj3cm3dy6ynt2n4rnakul4mqo4y2mcarl22yuo6c6p2pobzsmewy