tzap is a super fast, Rust-based optimizer specifically designed for large Clifford+T quantum circuits. It provides efficient optimization of quantum circuits written in QASM, targeting researchers and developers working in quantum computing. The tool is distributed as a Python package with an Apache-2.0 license and is hosted on GitHub.
tzap is an AI & ML project. It focuses on optimizing large quantum circuits for Clifford+T gates is computationally expensive and slow. tzap is an open-source project aimed at quantum computing researchers. tzap is open source under the Apache-2.0 license. It runs on the command line.
It is developed by qqq-wisc (United States), and it first shipped in 2026. Development happens publicly on GitHub with 16 stars and 143 commits in the last 90 days. Key capabilities include Circuit Optimization, Clifford+T Support, and QASM Output.
Summary written by a language model from the project’s public pages.
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