NVIDIA/cuda-quantum - Open Source PR Review Scorecard

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

C-Rank Grade: A (Welcoming) - 66/100

External PR Merge Rate: 71%

Response Time: 1d

First Timer Success: 59%

Frequently Asked Questions

Is NVIDIA/cuda-quantum welcoming to first-time open-source contributors?

NVIDIA/cuda-quantum has a recorded first-timer success rate of 59.5%. Repositories ranked A typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in NVIDIA/cuda-quantum respond to incoming external pull requests in approximately 27.1 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 65.5 C-Rank™ score (A Tier) represent?

The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 65.5 places NVIDIA/cuda-quantum in the A tier.

What is the external contributor pull request merge rate for NVIDIA/cuda-quantum?

The external contributor pull request merge rate for NVIDIA/cuda-quantum is 70.6%, based on public PR activity from non-core contributors.

Are there Good First Issues available in NVIDIA/cuda-quantum?

NVIDIA/cuda-quantum does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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NVIDIA/cuda-quantum

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Active (30d)A•Welcoming(66/100)C++

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
8.3/10
Patience Score
8.6/10
Nitpick Rate
20%

Highly welcoming maintainers in NVIDIA/cuda-quantum. Prompt code reviews with positive guidance for new contributors.

Top PR Submission Do's

  • •Ensure code complies with the project coding style
  • •Keep PRs scoped to a single concern
  • •Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit PRs without linking an issue
  • •Do not break existing tests without fixing them
  • •Do not mix unrelated refactors in a single PR
Response Velocity
1 days+
Standard maintainer review cycle

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
70.6%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
59.5%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
40 core
Highly collaborative maintainer core
Diagnostic Health HUD
70.6%
Merge Gauge
59.5%
1st-Timer
Community Vibe56/100

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GetMerged C-Rank badge for NVIDIA/cuda-quantum
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Active Good First Issues (2)

View on GitHub

Currently, we support a variety of math functions in C++ qpu kernels, e.g., std::sqrt, std::abs, etc. However, std::fmod is not supported.

📅 Opened Aug 21, 2026💬 1 comment
Quality: 75/100Contribute

Required prerequisites Consult the security policy. If reporting a security vulnerability, do not report the bug using this form. Use the process described in the policy to report the issue. Make sure you've read the documentation. Your issue may be addressed there. Search the issue tracker to verify that this hasn't already been reported. +1 or comment there if it has. If possible, make a PR with a failing test to give us a starting point to work on! Describe the bug Decomposition on Quake with multi-qubit exp_pauli with no basis hangs instead of failing/backing out. Looks like there's no check for this case which should cause the pass to fail immediately. The below report is from Claude: The culprit is in Decomposition.cpp lines 52–55. When basis is empty and enabledPatterns is also empty, it loads all decomposition patterns with populateWithAllDecompositionPatterns and then runs applyPatternsGreedily. With no basis: There's no conversion target telling the rewriter which op

📅 Opened Aug 11, 2026💬 1 comment
Quality: 90/100Contribute
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Contributor Compatibility & Review Speed Analysis for NVIDIA/cuda-quantum

When evaluating whether to contribute to NVIDIA/cuda-quantum, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.

Currently, maintainers of NVIDIA/cuda-quantum acknowledge new external contributions in approximately 1 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 70.6% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to NVIDIA/cuda-quantum

01

Is NVIDIA/cuda-quantum welcoming to first-time open-source contributors?

NVIDIA/cuda-quantum has a recorded first-timer success rate of 59.5%. Repositories ranked Welcoming typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~1 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 65.5 C-Rank™ score represent?

The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 65.5 places NVIDIA/cuda-quantum in the Welcoming tier.

04

What is the external contributor pull request merge rate for NVIDIA/cuda-quantum?

The external pull request merge rate is 70.6%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in NVIDIA/cuda-quantum?

NVIDIA/cuda-quantum does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for NVIDIA/cuda-quantum are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.