arXiv:2605.28162v1 Announce Type: cross Abstract: Logical operations are essential for quantum computation within quantum error-correcting codes. However, discovering their physical realizations is challenging, especially for non-additive codes that lack a stabilizer description. We present a general learning-based framework that, given only an encoding circuit, constructs physical implementations of logical operations while enforcing structural properties such as transversality or shallow depth. Our approach is validated by rediscovering known logical operations of standard stabilizer codes.
This development appears now as quantum computing research progresses from theoretical models to practical challenges, such as implementing robust error correction.
This work is crucial for enabling fault-tolerant quantum computation by automating the creation of logical operations for complex quantum error correction codes, directly addressing a major bottleneck.
The ability to automatically discover logical operations, particularly for non-additive codes, accelerates the development and realization of practical quantum computers.
- · Quantum computing researchers
- · Quantum hardware developers
- · Deep tech investors
- · Classical computing incumbents (eventually)
- · Rival quantum optimization methods
More efficient and scalable quantum error correction will be developed.
This will reduce the physical overhead required for fault-tolerant quantum computing, bringing practical quantum computers closer to reality.
A robust quantum computing infrastructure could eventually disrupt industries reliant on classical computational limits, such as cryptography and materials science.
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Read at arXiv cs.LG