bloomberg/quantum

Powerful multi-threaded coroutine dispatcher and parallel execution engine

Owned by Bloomberg

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bloomberg/quantum has 600+ stars and 100+ forks on GitHub, is written in C++, and was last pushed on Apr 8, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 14 minutes ago
Added to GitGenius on October 12th, 2026
Created on July 11th, 2018
Open Issues & Pull Requests: 8 (+0)
GitHub issues: Enabled
Number of forks: 108
Total Stargazers: 642 (+0)
Total Subscribers: 28 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 532.4 days
Mean response time: 601.5 days
90th percentile: 1271.8 days
Tracked items: 3

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Issue Activity (beta)

Open issues: 2
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 2,397 days
Stale 30+ days: 2
Stale 90+ days: 2

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Quantum is a C++ coroutine framework that dispatches and executes tasks concurrently using the reactor pattern built on top of Boost coroutines.

The framework addresses the challenge of managing concurrent work in C++ by allowing developers to write tasks as coroutines that can be dispatched to a multi-threaded executor. Rather than managing threads directly, Quantum handles scheduling and execution through a dispatcher that runs coroutines cooperatively, yielding control between them. This approach simplifies concurrent programming by letting developers write sequential-looking code that executes in parallel, with explicit and implicit yielding points to coordinate between tasks.

Quantum suits projects that need to handle CPU-bound workloads or long-running IO operations with fine-grained concurrency control. The framework is particularly valuable when you need task prioritization, chaining of dependent operations, or lock-free synchronization patterns. It provides familiar abstractions like futures and promises similar to the C++ standard library, making it accessible to developers already comfortable with those patterns. The header-only design means no separate compilation step is required. Developers should consider Quantum if they want to avoid manual thread management while retaining control over task scheduling and synchronization through coroutine-based primitives like dedicated queues, mutexes, and condition variables.

The project maintains active development with regular updates to its API, including a newer V2 coroutine interface that simplifies value returns from tasks. The codebase shows consistent refinement of core features, with attention to performance through mechanisms like pre-allocated memory pools and streaming futures for large data processing. Documentation is kept current with examples and reference guides reflecting API changes. The project demonstrates responsiveness to usability concerns, as evidenced by the introduction of simpler coroutine APIs alongside the original interface.